1,012 results
AI Deployment Engineer, Ecosystem - Plugins
About the Team The Ecosystem AI Deployment Engineering (ADE) team supports strategic partners as they build high-quality technical integrations into ChatGPT and Codex. Our goal is to create products users depend on, drive adoption and retention, and build an ecosystem where partners win when OpenAI wins. About the Role We are looking for an AI Deployment Engineer to help strategic partners design, build, evaluate, submit, launch, and maintain high-utility plugins for ChatGPT and Codex. This is a hands-on, partner-facing product engineering role for someone who can contribute to the platform itself, lead sophisticated partner engagements, and translate ambiguous product needs into production-ready integrations. You will work across partner product and engineering teams and OpenAI's product, engineering, partnerships, legal, policy, design, and go-to-market teams. You will identify the right use cases, prototype and review implementations, run evaluations, debug issues across systems, guide partners through submission and review, and support launch and post-launch iteration. The best person for this role moves fluidly between code, product judgment, project leadership, and clear communication with engineers and executives. This role is a fit for a product minded engineer who wants to stay close to users and partners while still going deep on code, reliability, evaluations, and developer experience. The goal is to help partners ship plugins that are not merely technically functional, but genuinely useful in ChatGPT and Codex. This role is based in our San Francisco office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Own the technical partner journey for priority B2B plugins—from pitch and readiness assessment through architecture, build, evaluation, submission, launch, and ongoing maintenance. - Identify strong plugin use cases, define crisp user journeys and expected behaviors, and help partners focus on workflows where ChatGPT or Codex can create meaningful user value. - Write production and sample code, build prototypes and reference implementations, and create the technical guidance, evals, launch checklists, and debugging tools that move partners from concept to production. - Debug API contracts, OAuth/login, tool invocation, latency, retries, rate limits, observability, data model, and user-experience issues across partner and OpenAI systems. - Review partner architectures and implementation plans for API design, scopes and permissions, data handling, safety, privacy, reliability, and long-term maintainability. - Contribute targeted fixes and improvements to ChatGPT, Codex, and the plugins platform, including APIs, SDKs, docs, examples, internal tooling, partner debugging workflows, and launch guardrails. - Work with product, engineering, design, partnerships, legal, policy, support, and go-to-market teams to make partner launches smooth and repeatable. - Bring structured signal from partners back to product and engineering, and turn patterns from successful launches into reusable playbooks, examples, platform requirements, and implementation guidance. You might thrive in this role if you: - Have 4-6 years of professional software engineering experience and are strong enough technically to contribute to the platform itself while still enjoying hands-on coding. - Have built and operated production APIs, backend services, developer platforms, apps, plugins, connectors, or integrations and can reason across frontend, backend, auth, reliability, privacy, evaluations, and UX constraints. - Bring strong product sense and can distinguish a plugin that “works” from one that will be genuinely useful to users. - Communicate clearly with external engineers, product leaders, executives, and internal cross-functional stakeholders. - Can make ambiguous partner ideas concrete through runnable prototypes, API contracts, technical specs, and pragmatic implementation guidance. - Are comfortable reading unfamiliar code, making targeted platform changes, and debugging distributed systems with logs, traces, metrics, and experiments. - Care deeply about user trust, privacy, data handling, and product quality in AI-powered experiences. - Balance urgency with judgment and can keep launches moving while staying precise about details that matter. Preferred qualifications: - Experience with OAuth/login flows, API design, webhooks, schemas, rate limits, observability, SDKs, and production launch operations. - Prior customer-facing or partner-facing engineering experience, including leading technical calls, navigating ambiguity, and helping external teams ship production software. - Familiarity with AI products, LLM APIs, tool calling, MCP, ChatGPT or Codex surfaces, developer platforms, or marketplace ecosystems. - Comfortable making targeted changes across backend services, frontend surfaces, SDKs, docs, internal tools, or monorepo codebases when needed. - Strong written communication skills, including docs, implementation notes, launch plans, and partner-facing technical guidance. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Technical Recruiter, Security
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Security organization protects the models, the infrastructure, and the people behind them, spanning platform and application security, detection and response, identity, compliance, corporate engineering and IT, insider risk, and physical security. The adversaries are well resourced, the assets are novel, and the consequences of getting it wrong extend beyond Anthropic. As Technical Recruiter, Security, you'll join the small team of recruiters who hire for that organization, owning full lifecycle recruiting for your searches and partnering with security leaders to turn ambiguous needs into clear search strategies. Security professionals are among the most heavily recruited people in technology, and earning their attention takes real domain fluency rather than a template. Key responsibilities - Own full lifecycle recruiting for a portfolio of roles across the Security organization, from intake through offer and close - Run structured intakes with security hiring managers, translating ambiguous needs into scoped requirements, calibrated bars, and search strategies - Build and maintain pipelines of specialized security talent, with an emphasis on passive candidates - Refine security interview loops, take-home assignments, and scorecards alongside hiring managers, your recruiting counterparts, and Recruiting Operations - Develop genuine domain fluency so you can hold a credible conversation with a detection engineer, a cryptographer, and a compliance lead in the same week - Advise hiring managers with market data and candid calibration feedback, and influence decisions through credibility rather than volume - Partner with Compensation, People Partners, and Mobility to structure equitable offers and guide candidates to close - Handle sensitive role and candidate information with discretion, including for searches whose scope is confidential Minimum qualifications - Deep full lifecycle recruiting experience, with substantial time supporting security, infrastructure, or comparably technical engineering organizations - Ability to hold a substantive technical conversation about security domains such as application security, cloud and infrastructure security, detection and response, identity, or compliance, and to evaluate technical qualifications rather than match keywords - Proficiency with an applicant tracking system like Greenhouse and other modern sourcing tools - Experience partnering directly with hiring managers on intake, bar calibration, and interview loop design - Sound independent judgment on candidate quality, and the ability to redirect a hiring manager away from pedigree and credential proxies toward the underlying competencies - Genuine interest in Anthropic's mission and in the role a strong security function plays in achieving it Preferred qualifications - Experience recruiting at a high-growth technology, AI, or machine learning company - Working knowledge of the security credential landscape and clear judgment about where those credentials carry signal and where they do not - Experience hiring for engineering, incident response, threat intelligence, insider risk, or physical security - Experience improving recruiting processes, market maps, or interview architecture where they were thin or absent - Comfort using LLMs to accelerate sourcing, research, and market mapping The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 - $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Staff + Sr. Software Engineer, Cloud Inference Launch Engineering
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Within Cloud Inference, the model & inference launch team owns the validation pipeline for our inference server and load balancer on these platforms. We're responsible for every inference change — model launches, performance improvements, safeguard integrations — landing on cloud platforms with correctness, performance, and reliability intact. This is high-leverage infrastructure work: validation has to be fast and cheap enough to run on the same accelerators that serve customers, trustworthy enough to replace manual checks, and consistent enough that a change working on Anthropic first-party means it works everywhere. This directly determines how fast frontier models and features ship to every cloud platform, and how quickly performance wins reach production — reclaiming capacity at a time when compute is our scarcest resource. Key responsibilities - Be on the critical path for frontier model launches, bringing up inference for new model architectures and shipping them to cloud platforms in lockstep with our first-party platform - Work with the core inference team to bring new inference features (e.g. structured sampling, prompt caching, and more) to cloud platforms, owning the platform-specific integration that gets them to production - Identify and dive deep on the gaps that make inference behave differently across first-party and CSPs — config drift, observability, deployment patterns, hard cross-platform bugs — and fix them at the source rather than building platform-specific workarounds - Design, build, and own the CI/CD infrastructure for the inference server and load balancer across cloud platforms, with shadow traffic, performance baselines (throughput and latency), and correctness checks that catch regressions before production - Drive down merge-to-production cycle time by making validation faster, more parallel, and cost-effective enough to run on the same constrained accelerator pool that serves customers, without trading away reliability - Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads Minimum qualifications - Have a strong interest in LLM serving; prior inference or ML experience is not required - Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users - Have a track record of building automation or test infrastructure that measurably improved release velocity or reliability - Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration - Thrive in cross-functional collaboration with both internal teams and external partners - Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems - Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description Preferred qualifications - LLM inference optimization, batching, and caching strategies - Capacity-constrained scheduling or shared-resource test infrastructure - Solid understanding of multi-region deployments, request routing, load balancing, global traffic management - Working with CSP partner teams to scale infrastructure across multiple platforms, navigating differences in networking, security, privacy, and managed service - Proficiency in Python or Rust The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Applied AI Engineer, Beneficial Deployments
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Beneficial Deployments: Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences, focusing on raising the floor. About the role: We're looking for an Applied AI Engineer to join our Beneficial Deployments team. You’ll use your deep technical expertise to help partners accelerate their impact through advising on evals, hill-climbing on harnesses, prototyping new agents, etc. You will also work on building ecosystem-level tooling and infrastructure to scale impact beyond individual partnerships. Responsibilities: - Serve as a deep technical partner to mission-driven organizations through advising on evals, agent architectures, context engineering, cost optimization, and more - Provide hands-on support to partner engineering teams through pair programming, prototyping, and code contributions that accelerate their development - Develop public goods infrastructure that benefits entire ecosystems through benchmarks, MCP’s, and Agent Skills - Identify challenges unique to social impact partners, and contribute findings and improvements back to product, engineering, and research - Create technical presentations, demos, and scalable technical content (documentation, tutorials, sample code) to accelerate partner adoption and self-service - Help shape team processes and culture as we scale from 1 to N - Travel occasionally to customer sites for workshops, technical deep dives, and relationship building You might be a good fit if you have: - 4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder - Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale - Builder credibility that earns trust with technical founders and engineering teams—you've shipped products and can speak from experience - Experience working in ed-tech, healthcare, scientific research, nonprofit, or other mission-driven organizations, understanding their unique challenges and constraints - A love of teaching, mentoring, and helping others succeed - A scrappy mentality - comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £240,000 - £255,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Engineering Manager, Model Flywheel
About the Team The ChatGPT Model Capabilities and Deployment team unified goal is to transform model advancements into great ChatGPT user experiences through reliable serving, rapid experimentation, safe deployment, and continuous improvement. Team Focus Areas - Model Experimentation: - Enable rapid, safe model validation for ChatGPT and Codex products through experiment automation and lifecycle management. - Model Deployment: - Ensure safe, scalable deployment of model capabilities with robust rollout and operational tooling. - Automate capacity management and incorporate platform-wide health monitors. - Model Measurement: - Build comprehensive evaluation and measurement systems for model quality, from user signals to launch scorecards. - Improve end-to-end feedback loops for continual model improvement. Key Partnerships Collaborate cross-functionally with teams including Model Measurement DS, Research, Codex, Fleet, Inference, and API. In this role, you will: - Elevate and consolidate ChatGPT’s harness, context management, and system prompt frameworks. - Drive expansion and improvement of multi-tier model experiences. - Support and scale self-serve experiment capabilities and automated guardrails. - Lead model rollout automation, capacity management, and health monitoring. - Shape end-to-end measurement systems (evals, grader signals, user feedback, etc.). You might thrive in this role if you have: - Proven experience leading engineering teams in complex, cross-functional environments. - Demonstrated success shipping production systems at scale (ideally for AI or large backend services). - Deep understanding of model-driven product development, deployment lifecycle, and measurement tooling. - Excellent communication and collaboration skills—experience interfacing directly with engineering, research, and product stakeholders. - Prior involvement with large language models, distributed infrastructure, or experimentation platforms is a plus. Why Work With Us - Tackle highly impactful technical challenges at the cutting edge of AI. - Collaborate with world-class researchers, engineers, and product leaders. - Build infrastructure and experiences used by millions. - Shape the future of how people interact with AI. If you’re passionate about advancing AI reliability, safety, and user impact at a global scale, we encourage you to apply! About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Strategic Account Executive, Cybersecurity
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Strategic Account Executive focused on cybersecurity, you'll own some of Anthropic's most strategic cybersecurity relationships—companies building the next generation of AI-powered security products. These aren't typical enterprise accounts; they're partners shaping how AI transforms the entire security industry. You'll drive multi-million dollar commitments by expanding Claude's footprint across customer product portfolios (AI-powered SOC, threat detection, security copilots) and internal operations (Claude Code for engineering teams). You'll work at the intersection of executive relationships and technical depth—one week you're in a CTO strategy session, the next you're helping an engineering team scope an agentic deployment. This role requires someone who can think like a partner, not just a seller. You'll collaborate closely with our Applied AI team on custom deployments, work with Product on cybersecurity-specific capabilities, and help shape Anthropic's go-to-market in one of our highest-potential verticals. Responsibilities: - Win business and drive revenue within a book of strategic cybersecurity accounts.Own the full sales cycle from prospecting to close - Drive expansion across multiple buying centers within strategic accounts—product teams building customer-facing AI features, platform teams deploying Claude Code to engineering orgs, and security research teams exploring frontier capabilities - Navigate complex organizational structures across security, product, engineering, and executive teams. Build multi-threaded relationships with CISOs, security architects, product and engineering leaders, and C-suite executives - Partner with Solutions Architect and Product teams on technical scoping, custom agent development, and enterprise deployments - Design and execute innovative sales strategies tailored to the cybersecurity market. Analyze account landscape, competitive dynamics, and emerging security trends to inform targeted sales activities - Identify and develop use cases across security operations (SecOps automation, threat hunting, alert triage), security product development (AI-powered detection, intelligent response), and internal security functions - Navigate unique considerations of AI in security contexts, including model guardrails, responsible deployment, and emerging use cases like AI red-teaming - Own sophisticated deal cycles involving security evaluations, red team assessments, and complex procurement processes. Navigate security and compliance requirements with patience and expertise - Build and maintain accurate pipeline forecasting for complex, multi-workstream accounts. Develop deep understanding of how large security vendors budget for AI infrastructure across product and internal use cases - Serve as the voice of the cybersecurity customer internally. Inform product roadmaps by gathering feedback on security-specific requirements, compliance needs, and competitive gaps - Develop cybersecurity-specific sales playbooks, case studies, and best practices. Contribute to building Anthropic's reputation as a trusted partner in the security ecosystem You May Be a Good Fit If You Have: - 8+ years of enterprise sales experience with a proven track record of closing complex deals, including at least 3 years selling to or within the cybersecurity industry - Deep understanding of the cybersecurity landscape including key market segments (endpoint, cloud security, SIEM/SOAR, identity, threat intelligence), major players, and emerging trends - Experience selling to security-focused buyers (CISOs, security architects, SOC leaders) and navigating security-specific procurement processes - Strong executive presence with demonstrated ability to engage C-suite executives, board members, and senior security leaders. Ability to articulate both technical value and business impact - Experience with security and compliance frameworks (SOC 2, FedRAMP, ISO 27001) and comfort discussing data handling, model security, and responsible AI deployment - Consultative sales approach with ability to understand complex security challenges and craft tailored solutions. Position yourself as a strategic advisor on AI adoption in security contexts - Strong cross-functional collaboration skills with ability to mobilize internal resources including product, engineering, security, and legal teams for complex deals - Resourcefulness and creative problem-solving when faced with security objections, compliance requirements, or technical challenges unique to the security vertical - Passion for both AI and cybersecurity with enthusiasm for helping security organizations transform through responsible AI deployment. Strong alignment with Anthropic's mission of developing safe, beneficial AI systems - Must be located in San Francisco Nice to Have - Prior experience at a cybersecurity vendor or in a security-focused role - Technical background or certifications in cybersecurity (CISSP, CISM, or similar) - Existing relationships with CISOs and security leaders at target accounts - Experience selling AI/ML solutions into security use cases The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $380,000 - $450,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Staff+ Software Engineer, Capacity Engineering
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: - Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. - Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. - Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. - Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities - Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. - Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. At this fleet size a single point of utilization is worth eight figures a month. - Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. - Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. - Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. - Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring - A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. - Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. - Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations - Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. - Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications - Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. - Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. - Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. - Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. - Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. - Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. - Storage efficiency, retention, and lifecycle program experience at exabyte scale. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Safeguards Enforcement Analyst, Violence & Extremism
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Safeguards Enforcement Analyst focused on Violence & Extremism, you will be responsible for building and executing operational workflows to assess model behavior, drive enforcement decisions, and develop evals across a technically demanding range of policy areas. Your work spans detecting and mitigating attempts to misuse Anthropic's AI systems to facilitate real-world harm, including weapons and dangerous technology, critical infrastructure attacks, violent extremism, and threats of violence. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, graphic, hateful, or psychologically disturbing nature. Key responsibilities - Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy - Develop and maintain evals that measure model performance on these policy areas, surface regressions, and inform policy and model improvements - Partner with Engineering and Data Science to optimize detection and automated enforcement systems for potential policy violations - Review flagged content to drive enforcement decisions and surface policy gaps, with particular attention to novel or technically sophisticated misuse attempts + emerging extremist movements, ideologies, and mobilization tactics - Support the Safeguards policy design team by providing structured feedback on policy gaps and enforcement ambiguities based on real enforcement scenarios - Develop and maintain enforcement guidelines and reviewer documentation that enable accurate, consistent enforcement across a wide range of content - Keep up to date with emerging threats, terrorist and extremist movements, regulatory changes, and AI policy enforcement best practices, and apply these to inform our workflows and evals - Identify and escalate emerging misuse patterns, novel attack vectors, and signs of coordinated violent extremist activity Minimum qualifications - Experience in policy enforcement, threat intelligence, counterterrorism, government, or a closely related field, with direct exposure to harmful content, dangerous technology, violent extremism, or physical harm facilitation - Experience standing up and scaling policy enforcement or content review workflows - Proficiency in SQL and/or other data analysis tools to draw insights from large datasets and monitor enforcement workflow health - Experience identifying emerging risks and threat actors, and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams - Experience working with generative AI products, including writing effective prompts for content review and enforcement - Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space Preferred qualifications - Subject matter expertise in one or more high-stakes harm areas, such as weapons and dangerous technology, violent extremism, terrorism, autonomous systems, or critical infrastructure protection - Familiarity with relevant legal and regulatory frameworks governing dangerous technology, critical infrastructure, or domestic/international terrorism - Experience developing evals or red-teaming AI systems, particularly for harmful content or policy enforcement use cases - Experience with threat actor profiling and threat intelligence frameworks (e.g., MITRE ATT&CK) - Experience tracking threat actors, extremist networks, or misuse patterns across surface, deep, and dark web environments - Experience with large language models and an understanding of how AI technology could provide meaningful uplift toward serious harm - Proficiency in Python for data analysis and workflow automation - Background in law enforcement, national security, defense, counterterrorism, or a relevant regulatory environment - Experience assessing the technical plausibility and real-world harm potential of content, including the ability to distinguish between general educational content and genuine operational uplift, and between protected speech and genuine incitement/mobilization - Familiarity with cross-platform threat analysis and OSINT techniques The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 - $330,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Manager, Account Executive - Enterprise Sales
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a leader within our Enterprise Industries sales team, you will build and lead an industry-aligned team that brings transformational AI to enterprises across telecommunications, media & entertainment, retail & consumer, industrials & manufacturing, and business services. These are companies rethinking how they serve customers, create and distribute content, run stores and supply chains, and operate physical infrastructure — and they're looking for a partner they trust to take frontier AI from promising pilots into production at the core of their business. You'll own a broad portfolio of enterprise accounts at very different stages of AI adoption, from organizations already running Claude in production to those just beginning their journey. You will lead Enterprise Account Executives, design the coverage and territory model, and build the repeatable, industry-specific plays that turn early wins into durable, scaled adoption. The selling is technical and multi-stakeholder — platform decisions, security and procurement rigor, and solutions built on Claude through our API, Claude for Enterprise, Claude Code, and partner cloud platforms — and you'll shape strategy and operating rhythm while staying personally engaged with executives on the pursuits that matter most. This is a rare opportunity to build a team, not just run a number: to shape how a broad cross-section of the economy adopts frontier AI, and to do it at a company where safety, trust, and long-term customer outcomes are central to how we sell. Key responsibilities: - Recruit, coach, and retain Enterprise Account Executives with deep industry and platform-selling expertise; develop and retain top talent - Codify the use cases, proof points, reference stories, and sales motions that make wins repeatable within each industry, partnering with Marketing, Enablement, and partner teams to scale them - Engage personally with C-level executives on priority pursuits, building business cases and value narratives and navigating complex procurement, security, and legal processes through to production deployment and expansion - Own the team’s revenue targets and operating rhythm, instilling pipeline-generation discipline and running forecasting, deal inspection, and account planning cadences that make performance predictable and coachable across a high-volume book of business - Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate industry needs into product and roadmap input - Orchestrate cross-functional and partner motions with Customer Success, Marketing, Partnerships, Legal, and cloud partners to deliver a seamless customer experience, and represent Anthropic with customers and at industry events as a visible, trusted leader Minimum qualifications: - Experience leading enterprise sales teams that sell technical, complex products such as API-first platforms, cloud infrastructure, or data and machine learning platforms - Player-coach sales leader who has personally built and run a high-velocity greenfield motion, someone who thinks in coverage models, PG cadence, and repeatable plays first, deals second - ideally forged at a consumption or PLG platform company, with the vertical depth and partner fluency (CSP/GSI) to activate a 300-account book from day one - A track record of winning and growing enterprise customers, including building C-suite relationships, in one or more of our focus industries (telecommunications, media & entertainment, retail & consumer, industrials & manufacturing, or business services) - Experience designing go-to-market coverage for an enterprise sales team, including but not limited to account prioritization - Operational rigor across both a high-volume pipeline and complex, multi-stakeholder sales cycles, balancing velocity with deal quality and forecasting accurately in fast-changing environments - Credibility with technical buyers and builders — CIOs, CTOs, CDOs — and experience pairing effectively with solutions architects and applied AI teams - Strong coaching skills that raise team performance through deal coaching and account strategy, combined with personal effectiveness alongside executives on high-priority opportunities - A genuine interest in deploying AI responsibly and motivation to advance Anthropic's mission of building safe, beneficial AI Preferred qualifications: - Experience bringing generative AI or LLM-based products, or other emerging platform technologies, to enterprises in these industries - Experience selling with and through cloud and ecosystem partners such as AWS, Google Cloud, and global systems integrators - Experience standing up or running scaled or velocity sales motions alongside traditional field coverage - Familiarity with consumption- or usage-based commercial models and value-based pricing conversations - Experience leading organizations through rapid growth, re-segmentation, or significant change The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $435,000 - $550,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Forward Deployed Product Manager, Public Sector
Scale is accelerating the development of AI across the world's most important organizations, including the U.S. Department of War (DoW), its constituent services, and the broader U.S. National Security industry. The Product Manager, Public Sector will lead Scale's product efforts across two connected focus areas — military planning and real-time AI and Alerting (LUX) — shaping real production outcomes and translating messy operational reality into high-signal input for the core platform. This is not a roadmap PM, a CSM, or a solutions engineer. This PM owns product outcomes for a cross-cutting portfolio of AI and data capabilities: earning deep trust with senior military, civilian, and mission stakeholders, driving deployments to production inside classified and operationally constrained environments, identifying where the product is the bottleneck vs. execution, and feeding durable, specific signal back to Scale's platform team. The best candidates have shipped AI or real-time data products into defense or other large, security-constrained organizations and can tell the difference between a customer's stated request, their actual problem, and what the platform should do. What You'll Do - Own product outcomes across Scale's military planning portfolio and/or its highest-impact national security accounts for LUX, spanning multiple DoW and National Security stakeholders and use cases. You are the accountable PM for product delivery and customer value. - Translate operational reality into high-signal product input for engineering and platform teams — specific, evidence-backed product perspective with tradeoffs articulated, not requirements docs. This includes military planning workflows (e.g., the Joint Planning Process) and modeling/simulation requirements (e.g., AFSIM), as well as real customer workflows, latency/throughput constraints, and mission priorities for LUX. - Build trusted advisory relationships with senior military leaders (flag/general officer and senior civilian equivalents), National Security customer stakeholders, and senior technical leads. Become the reliable escalation point on the Scale side before issues surface externally. - Drive deployments from contract to production inside classified and operationally constrained environments — whether that means military planning workflows or LUX's low-latency, high-throughput, mission-critical data systems. You know what "production-ready" means inside DoW, and you close the gap. - Distinguish where the product is the constraint from where execution, integration, policy, or change management is the constraint. Drive each type of blocker to resolution through the right channel. - Shape a cross-cutting set of solutions spanning multiple stakeholders, echelons, and use cases, rather than owning a single point deployment. - Partner closely with Forward Deployed Engineering (FDE) teams and Platform Capability teams so the account runs as a coordinated team, not a set of parallel workstreams. - Identify and develop expansion opportunities grounded in demonstrated customer value. - Represent customer reality to the platform and leadership with enough credibility that it changes decisions. - Balance competing requirements across CCMDs and service components that must collaborate despite differing needs — distinct from building for a single customer. - Travel as required to customer sites, including classified facilities. What We're Looking For Core Competencies: - Enterprise deployment ownership : has driven AI/ML or complex/real-time software products from contract to production at scale — including near-zero-to-one, with no real users yet — with real integration, real security constraints, and real change management. - Domain fluency : working knowledge of the military planning process and modeling/simulation tools (e.g., Joint Planning Process, AFSIM), and/or the tradeoffs inherent to real-time, event-driven, high-throughput data architectures and their implications for AI agents — and how each shapes product decisions. - Product judgment in the field : translates customer reality into product direction, not just feature requests; can say no credibly and explain why. - Customer trust-building : earns and maintains trust with demanding senior military, civilian, and mission stakeholders over multi-quarter engagements; manages conflict without eroding the relationship. - Technical translation : bridges the gap between customer engineering/planning teams and Scale platform engineers; adds interpretation rather than simply relaying messages. - Operating in ambiguity and constrained environments : creates structure where there is none; makes decisions with incomplete information inside classified settings; does not wait for fully defined requirements. - Clear, precise communication : adjusts for audience (senior leader vs. engineer vs. PM); writes and speaks at the right level of detail; does not over- or under-explain. Must-Have: - Active TOP SECRET security clearance (TS/SCI eligibility preferred). - 6+ years in product management, technical program management, or a customer-facing product ownership role, including experience operating at an L6 (senior/staff) level of scope and autonomy. - Direct experience working with the U.S. Department of War (DoW) or the broader U.S. national security community. - Working knowledge of at least one of the following, with an ability to speak credibly to the other: - The military planning process (e.g., the Joint Planning Process) and modeling/simulation systems (e.g., AFSIM). - Real-time streaming data systems — event-driven architectures, low-latency pipelines, and high-throughput data processing — and how they behave in production. - Demonstrated record of shipping AI or data products into large, constrained, classified, or highly regulated organizations — not pilots or proofs-of-concept. You can name the customer, the scale, the integration, and what production actually looked like. - Extreme ownership and follow-through: closes loops without reminders, drives outcomes across teams without formal authority, holds self and others to commitments. - Comfortable operating with senior military/civilian/mission stakeholders and senior engineers simultaneously; credible presence in high-stakes rooms on both sides. - Strong judgment under pressure: makes good calls quickly with incomplete information, knows when to escalate vs. resolve, does not generate thrash. - Technical fluency sufficient to hold a real conversation with a platform engineer about architectural tradeoffs — not deep coding, but genuine comprehension of how systems work in production. - Ability to shape a cross-cutting set of solutions across multiple stakeholders and use cases, rather than customer-specific solutions. - Ability to travel, including to classified facilities. Nice-To-Have: - Direct experience with AI/ML platform products — agentic capabilities, human-agent interaction, large-scale data, some T&E; or data labeling, RLHF, fine-tuning workflows, and model evaluation pipelines. - Hands-on familiarity with streaming technologies (e.g., Kafka, Flink, Kinesis) or the operational systems that consume them. - Experience in a startup or early-stage environment where process didn't exist and had to be created. - Prior forward-deployed or embedded role (consulting, field PM, solutions engineering with ownership). - Prior military service or DoD/DoW civilian experience in an operations, planning, or acquisitions role. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $276,000 - $345,000 USD Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado, Hawaii is: $248,800 - $311,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Software Engineering Manager, Public Sector
Scale AI’s Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We’re looking for a hands-on Engineering Manager to lead a team of software engineers building core products and infrastructure for these customers. This role is ideal for someone who thrives in technical environments, enjoys managing teams while staying close to the code, and wants to work on meaningful problems that impact real world operations across the U.S. government. You’ll play a critical role in delivering backend systems, distributed platforms, and ML tooling used by our public sector partners—all while helping your team grow and execute. You’ll split your time between technical planning and execution (50%) and people management and team development (50%) , leading a team of 6-8 engineers. You’ll work cross-functionally with product, security, and customer-facing teams to ensure our engineering efforts meet complex federal compliance, security, and performance needs. Must be able to commute to office three times per week You will: - Recruit a high-performing engineering team. - Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of engineers working on Generative AI projects. - Collaborating with cross-functional teams to define, design, and execute strategic roadmap. - Navigate and deliver outcomes while navigating through complex public sector compliance requirements and frameworks. - Design and implement scalable backend systems for Federal customers, leveraging Scale's modern and cloud-native AI infrastructure - Develop distributed systems, data-intensive applications, and machine learning infrastructure to enable real impact for mission owners - Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions - Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions - Contribute to the platform roadmap and product strategy for Scale AI's Federal business, playing a key role in shaping the future direction of our offerings - Have or ability to obtain a TS/SCI clearance Ideally you’d have: - 5+ years of full-time engineering experience, post-graduation - 2+ years of prior engineering management or equivalent experience and has managed an engineering team. - Have extensive experience in software development - Experience scaling products at hyper-growth startups - Excitement to work with AI technologies and their applications for the public sector - Extremely strong track record as an individual contributor - Show a track record of mentoring and leading teams in successful projects - Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders Nice to haves: - TS/SCI Clearance - Deep technical knowledge of Software Development, willing to get deep into the weeds to solve problems alongside the team. - Have experience with AI platforms and technologies, including generative models and LLMs. - Have previous experience in government or government facing technology roles - Experience with cloud-native technologies, full stack development, data engineering, and ml ops infrastructure Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York is: $216,000 - $270,000 USD Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC is: $194,400 - $243,000 USD Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of St Louis is: $162,400 - $203,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Software Engineer, Public Sector
The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: - Create multi-layered guardrails around agents - Optimize data retrieval for agents - Orchestrate fleets of asynchronous agents - Automatically alerts users to deviations in data - Illustrating how an agent reached a decision As a Software Engineer, you will own the development of a vertical feature or a horizontal capability to include defining requirements with stakeholders and implementation until it is accepted by the stakeholders. You will: Design and implement scalable backend systems for Federal customers using cloud-native AI infrastructure. - Build features for agentic systems including multi-layered guardrails and data retrieval optimization. - Develop data pipelines and machine learning infrastructure to make data sources accessible by agents. - Collaborate with cross-functional teams to execute backend solutions for secure environments. - Participate in customer engagements to understand requirements and deliver technical solutions. - Define requirements with stakeholders and implement features until they are accepted. - Contribute to the platform roadmap and product strategy for the Federal business. Ideally you will have: - Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases - Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus - Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles - AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial. - Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles - Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment - Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to defining and evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $180,000 - $225,000 USD The base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is: $162,400 - $233,000 USD The base salary range for this full-time position in the location of St. Louis is: $135,200 - $194,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Senior Software Engineer, Agent Oversight
About Scale Scale’s mission is to develop reliable AI systems for the world’s most important decisions. As the leading AI data foundry, we provide the high-quality data and full-stack technologies that power the world’s most advanced models — fueling breakthroughs in generative AI, defense, and autonomous vehicles. We partner with leading enterprises and governments to bring AI into production that performs when it matters most, combining rigorous evaluation with full-stack deployment so our customers can build AI they can trust. About the Team Applied Intelligence Systems team is part of the Scale Generative AI Platform (SGP), focused on pushing the frontier of what agentic applications can do across diverse enterprise and government use cases. We build the infrastructure and tooling that power Agentic AI in production, paired with applied ML research, design, and evaluation to ensure these systems perform reliably at the scale our customers demand. We’re growing fast, with increasing traction across both commercial and public sector customers, and we’re just getting started — this team will define what dependable, production-grade agentic AI looks like. About the Role As a Software Engineer on Agent Oversight, you will build the platform infrastructure that lets our production agents be observed, evaluated, and improved at scale. This includes building observability tooling, evaluation harnesses, and the pipelines that connect them to improvement loops. Whether building foundational infrastructure or partnering closely with ML engineers on production workflows, you will own your systems end-to-end while maintaining rigorous technical standards. You will: - Design and build core platform capabilities for deploying, monitoring, and evaluating agentic applications in production - Build reliable APIs and data pipelines that capture agent telemetry, evaluation signals, and performance metrics at scale - Work alongside ML engineers where platform work intersects with evaluation or improvement systems — bringing enough ML fluency to reason about model behavior, evaluation quality, and improvement loops while owning the software systems that make those workflows reliable - Own the reliability, scalability, and observability of platform components serving multiple concurrent enterprise and government customers - Work cross-functionally with product, forward deployed engineering, and customers to translate real-world deployment requirements into platform features - Build features end-to-end: system design, implementation, debugging, and testing - Participate in high-velocity experimentation to validate platform capabilities against real customer usage Requirements: - 4+ years of professional software engineering experience, with strong fundamentals in backend/distributed systems, APIs, and data pipeline design - Hands-on experience building production software for ML/LLM-powered products or platforms, such as evaluation systems, observability/monitoring, experimentation infrastructure, agent runtimes, model-serving-adjacent services, or telemetry/data pipelines - Working knowledge of how LLM or ML systems behave in production: evaluation signals, failure modes, prompt/tool-calling workflows, experiment results, data quality issues, and the tradeoffs between offline evals and live customer behavior - Experience partnering closely with ML engineers or applied researchers to turn prototypes, eval loops, or model-improvement workflows into reliable platform capabilities, without needing to own model training, modeling strategy, or research direction - Experience building infrastructure or platforms that other engineering teams build on top of (internal platform, developer tools, or similar) - Track record of taking ownership of features or components end-to-end — from design through production — within a larger platform or system - Comfortable operating in an ambiguous, fast-changing domain where tooling and best practices are still being defined - Strong problem-solving skills and the ability to work independently or as part of a tight-knit, cross-functional team - Excited to work directly with ML engineers and customer-facing teams, including challenging assumptions in designs and metrics when platform behavior, model behavior, and customer needs intersect - Gives direct, substantive feedback on designs and code, and takes it the same way — and mentors others as they grow Nice to have: - Deep experience building or maintaining observability, monitoring, or evaluation systems for ML/LLM-powered products in production - Familiarity with agent architectures — tool use, planning, multi-agent orchestration - Exposure to MLOps, feature stores, model serving, or experiment infrastructure - Experience working in regulated or enterprise contexts - Experience reviewing others’ technical designs or mentoring engineers at a senior/staff level Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $216,000 - $270,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Senior Machine Learning Engineer, Agent Oversight
About Scale Scale’s mission is to develop reliable AI systems for the world’s most important decisions. As the leading AI data foundry, we provide the high-quality data and full-stack technologies that power the world’s most advanced models — fueling breakthroughs in generative AI, defense, and autonomous vehicles. We partner with leading enterprises and governments to bring AI into production that performs when it matters most, combining rigorous evaluation with full-stack deployment so our customers can build AI they can trust. About the Team Applied Intelligence Systems team is part of the Scale Generative AI Platform (SGP), focused on pushing the frontier of what agentic applications can do across diverse enterprise and government use cases. We build the infrastructure and tooling that power agentic AI in production, paired with applied ML research, design, and evaluation to ensure these systems perform reliably at the scale our customers demand. We’re growing fast, with increasing traction across both commercial and public sector customers, and we’re just getting started — this team will define what dependable, production-grade agentic AI looks like. About the Role As a Machine Learning Engineer on Agent Oversight, you will drive the end-to-end lifecycle that ensures our production agents perform reliably and improve over time. This includes building observability tools, designing robust evaluation frameworks, and developing improvement loops. Whether scaling infrastructure or researching new improvement methods, you will navigate the entire ML loop while maintaining rigorous technical standards. You will: - Build or contribute to observability into agent behavior in production — the signals and instrumentation needed to actually see what an agent is doing, not just whether it succeeded or failed - Design evaluation methodologies and metrics for agentic applications, and work with the platform to make them run automatically, at scale, across different customer use cases, not just as one-off analyses - Build, ship, and own ML systems that detect drift, anomalies, or misalignment in production agent behavior — from first prototype through running reliably at scale - Design and run rigorous experiments to validate model and agent performance improvements before they ship - Work alongside software engineers on the platform where your work intersects with broader infrastructure — but you’re expected to take your own work from idea to production, not hand it off - Collaborate closely with product managers, customers, data annotators, Forward Deployed Engineers, and other engineering teams to translate enterprise and government requirements into robust platform capabilities - Depending on focus, contribute to novel methods and approaches that push the state of the art for agent evaluation and improvement, or focus on building ML systems that hold up reliably at scale in production Requirements: - 5+ years of experience as an ML engineer or applied scientist, ideally on a production ML or LLM-powered system — not just consuming a third-party ML API within a feature - Strong grounding in at least two of the following: - Building or scaling evaluation, monitoring, or continuous-learning infrastructure for ML/agentic systems - Design experience for agent systems (architecture, orchestration, tool use) - Developing new methods, reward models, or model training/fine-tuning approaches - Hands-on experience with LLMs and agent architectures — tool use, planning, multi-agent orchestration - Comfortable partnering with software engineers to productionize research and experimental work, not just deliver a one-off analysis - Rigorous approach to experimentation: clear hypotheses, real statistical grounding, and results that hold up under scrutiny - Track record of collaborating across functions (Product, Forward Deployed Engineering, etc.) to navigate ambiguous requirements and bring them to production - Gives direct, substantive feedback on designs and code, and takes it the same way — and mentors others as they grow Nice to have: - Experience building or contributing to RLHF, SFT, or other fine-tuning/RL workflows, reward modeling, or verifiable-reward systems - Experience with model or systems optimization (e.g., latency, cost, or inference efficiency) - Published research, open-source contributions, or patents in agentic systems, LLMs, or applied ML - Experience working in regulated or enterprise contexts - Track record of taking a novel method from prototype to something running reliably in production, navigating ambiguity along the way - Experience reviewing others’ technical designs or mentoring engineers at a senior/staff level Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $216,000 - $270,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Technical Programme Manager, Chem-Bio
About the AI Security Institute The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We’re in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally. We’re here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action. The deadline for applying to this role is Sunday 19th July 2026, end of day, anywhere on Earth. About the role AI capabilities in the life sciences are advancing faster than at any point in history. Foundation models can now design novel proteins, interpret genomic sequences. These are extraordinary tools for scientific progress, but also have the potential for harm if misused. The AI Security Institute's Chem-Bio team exists to evaluate the capability of both frontier and narrow AI models in chemistry and biology, ensuring the UK government and its partners have an accurate view of risks and capabilities. This team is one of AISI's most consequential paths to impact, at a critical moment. Over the next twelve months it will need to move faster, deliver more complex research programmes, and engage more deeply with partners in major AI labs and security services than it has before. This role is for the person who makes that possible. You will sit directly alongside the CB team's researchers: helping them structure ambiguous research questions into tractable programmes, ensuring that our research lines up with the rigorous empirical claims the team must be able to evidence to inform policy, recommending which novel technical work to start and stop, or sequence technical dependencies across workstreams. It is a research-programme architecture role, working at the interface between "what should we investigate?" and "how do we actually do so?" What you will own Research programme architecture . You will work directly with researchers to scope projects: refining what questions we're actually trying to answer, what the milestones and success criteria are for novel technical work, and how to sequence technical dependencies, resource and time across workstreams. You will be the person who turns "we should probably look into X" into a tractable research plan with clear deliverables, without imposing process that gets in researchers' way. Research delivery tracking and unblocking. You will bring a continuous improvement mindset to the team’s existing lightweight research management structures - sprint cadence, dependency maps, progress tracking - that create visibility and grip without overhead. You will surface technical blockers before they become crises and intervene directly to resolve them, and know exactly when and to whom to escalate. The goal is researchers spending their time on research, not logistics. Cross-government technical engagement. You will manage the technical interface with government partners (Dstl, UKHSA, MOD, and others) where that engagement is about research— data-sharing arrangements, conducting joint technical work, scoping requirements for access for classified compute. This role is about ensuring the work we deliver is technically sound, not about communicating its results, which sits with our exploitation colleagues. You will work closely with the CB team's delivery and exploitation colleagues to make sure the work they do is technically grounded. Team operations and pace. You will maintain the operational rhythm that lets a small, high-performing research team move at frontier speed inside government. You will ensure the team has what it needs to deliver, and that nothing falls through the cracks. Role Requirements - A track record as a technical programme manager working directly with researchers or engineers. You have managed complex technical programmes – ideally at an AI lab, a biotech startup, in defence/intelligence R&D, or in a similarly high-ambiguity research environment. You know how to scope and structure novel research work (where the answer isn't known in advance), not just deliver against a pre-defined plan. You have earned the trust of technical teams by understanding their work deeply enough to provide critical challenge, and engage beyond process. - Comfort operating at the frontier of AI. You do not need to be a machine learning researcher, but you need to be fluent enough in frontier AI to operate in constant conversation with researchers about our work, strategy and research taste; and understand what's hard, what's speculative, what's blocked, and what "good" looks like for a given experiment or evaluation. - High agency and ownership. You take responsibility for outcomes, not activities. When something is stuck, you pick up the phone. You do not wait for someone else to escalate. - Credibility with technical teams. Researchers trust you because you understand their constraints, respect their expertise, and demonstrably make their lives easier. You influence through competence and service, not authority or process. - Strong prioritisation under pressure. You can identify what actually matters this week and focus the team's energy there while keeping longer-horizon work alive. You have the judgement to recognise work that isn't landing and the confidence to escalate it or recommend that it stop. - Discretion and judgement in a sensitive domain. You understand that work at the intersection of AI and biology carries dual-use sensitivity. You are comfortable working within classified constraints and can make sound trade-offs between openness, security and pace. Strong candidates may also have: - Experience in biosecurity, life sciences, public health or adjacent domains where similar dual-use judgement is required - Prior experience at a frontier AI lab - Existing SC or DV clearance - Experience working in or with Dstl, MOD, DHSC, UKHSA or equivalent national security/adjacent bodies in other settings - Hands-on comfort with modern productivity tools (coding agents, Linear) and willingness to use AI tools as part of daily work Selection process Applications are reviewed on a rolling basis. We encourage you to apply early. - Application - CV and a short cover note (max 500 words) explaining what draws you to this role and what you would bring. - Screening interview - Lightweight conversation on trajectory, motivation and fit. - Work test - A take-home exercise designed to test programme management judgement in context. You will receive this after the screening interview. - Technical interview - Discussion of your work test with a current AISI TPM. - Behavioural interview - Deeper dive on stakeholder management, prioritisation and team dynamics. - Senior leadership interview (30 min) - Final conversation with AISI senior leadership. Security Clearance Appointment is conditional on successfully completing UK Government SC clearance. Prior clearance is not required—we will sponsor and support you. You should normally have been resident in the UK for the past 5 years. You may also be required to undergo Developed Vetting (DV). DV typically requires a longer period of UK residency (around 10 years). Employment is conditional on obtaining and maintaining the required clearance(s). More detail on clearance eligibility can be found on the UK Government website: National security vetting: clearance levels - GOV.UK. What We Offer Impact you couldn't have anywhere else - Incredibly talented, mission-driven and supportive colleagues. - Direct influence on how frontier AI is governed and deployed globally. - Work with the Prime Minister’s AI Advisor and leading AI companies. - Opportunity to shape the first & best-resourced public-interest research team focused on AI security. Resources & access - Pre-release access to multiple frontier models and ample compute. - Extensive operational support so you can focus on research and ship quickly. - Work with experts across national security, policy, AI research and adjacent sciences. Growth & autonomy - If you’re talented and driven, you’ll own important problems early. - 5 days off and annual stipends for learning and development, and funding for conferences and external collaborations. - Freedom to pursue research bets without product pressure. - Opportunities to publish and collaborate externally. Life & family* - Modern central London office (cafes, food court, gym), or where applicable, option to work in similar government offices in Birmingham, Cardiff, Darlington, Edinburgh, Salford or Bristol. - Hybrid working, flexibility for occasional remote work abroad and stipends for work-from-home equipment. - At least 25 days’ annual leave, 8 public holidays, extra team-wide breaks and 3 days off for volunteering. - Generous paid parental leave (36 weeks of UK statutory leave shared between parents + 3 extra paid weeks + option for additional unpaid time). - On top of your salary, we contribute 28.97% of your base salary to your pension. - Discounts and benefits for cycling to work, donations and retail/gyms. *These benefits apply to direct employees. Benefits may differ for individuals joining through other employment arrangements such as secondments. Salary Annual salary is benchmarked to role scope and relevant experience. Most offers land between £65,000 and £145,000 made up of a base salary plus a technical allowance (take-home salary = base + technical allowance). An additional 28.97% employer pension contribution is paid on the base salary. This role sits outside of the DDaT pay framework given the scope of this role requires in depth technical expertise in frontier AI safety, robustness and advanced AI architectures. The full range of salaries are available below: - Level 3: £65,000–£75,000 (Base £39,850 + Technical Allowance £25,150–£35,150) - Level 4: £85,000–£95,000 (Base £47,355 + Technical Allowance £37,645–£47,645) - Level 5: £105,000–£115,000 (Base £61,620 + Technical Allowance £43,380–£53,380) - Level 6: £125,000–£135,000 (Base £74,605 + Technical Allowance £50,395–£60,395) - Level 7: £145,000 (Base £74,605 + Technical Allowance £70,395) Additional Information Use of AI in Applications Artificial Intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance for more information on appropriate and inappropriate use. Internal Fraud Database The Internal Fraud function of the Fraud, Error, Debt and Grants Function at the Cabinet Office processes details of civil servants who have been dismissed for committing internal fraud, or who would have been dismissed had they not resigned. The Cabinet Office receives the details from participating government organisations of civil servants who have been dismissed, or who would have been dismissed had they not resigned, for internal fraud. In instances such as this, civil servants are then banned for 5 years from further employment in the civil service. The Cabinet Office then processes this data and discloses a limited dataset back to DLUHC as a participating government organisations. DLUHC then carry out the pre employment checks so as to detect instances where known fraudsters are attempting to reapply for roles in the civil service. In this way, the policy is ensured and the repetition of internal fraud is prevented. For more information please see - Internal Fraud Register. Security Successful candidates must undergo a criminal record check and get baseline personnel security standard (BPSS) clearance before they can be appointed. Additionally, there is a strong preference for eligibility for counter-terrorist check (CTC) clearance . Some roles may require higher levels of clearance, and we will state this by exception in the job advertisement. See our vetting charter here. Nationality requirements We may be able to offer roles to applicant from any nationality or background . As such we encourage you to apply even if you do not meet the standard nationality requirements (opens in a new window). Working for the Civil Service The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy. Diversity and Inclusion The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan (opens in a new window) and the Civil Service Diversity and Inclusion Strategy (opens in a new window) . As part of the application process, we monitor statistics on D&I. You can see how we process this data here: Recruitment privacy notice - GOV.UK .
Software Engineer - Core Technology
About the AI Security Institute The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We’re in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally. We’re here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action. Role Description The AI Security Institute's Research Unit is looking for motivated and talented Software Engineers to join AISI's Core Technology Team. We are looking for exceptional candidates at all experience levels, from junior through to senior or staff, to work in small teams on a range of critical research-oriented software and infrastructure. In this role, you’ll work with cutting-edge technologies on research problems with real-world impact, and receive mentorship and coaching from your manager and the technical leads on your team. You'll also regularly interact with world-famous researchers and other incredible staff (including alumni from Anthropic, DeepMind, OpenAI, Google, Apple, and professors from Oxford and Cambridge). About our Core Technology Team AISI Core Technology Team comprises several teams building tools and infrastructure used across all of our research work. This includes projects like Inspect (our open-source evaluation framework), systems for running evaluations at scale, and hosting frontier open-weights models for evaluations or human studies. As a software engineer on one of these teams, you might: - Add a feature to one of our “sandbox plugins” for Inspect, supporting advanced agentic evals with safe mechanisms to let models write and execute arbitrary code - Implement support for a new class of open-weights model on our model hosting platform - Support a research team with designing custom infrastructure for a new research project - Collaborate with the open-source community on a feature in Inspect or Inspect's plugin ecosystem - Assist with an evaluation testing exercise of a frontier AI model, debugging issues that appear in Inspect from API changes in the lab's latest SDK Person Specification You may be a good fit if you have some of the following skills, experience and attitudes: - Writing production quality code at fast pace. - Designing, shipping, and maintaining complex tech products. - Improving technical standards across a team, through mentoring and feedback. - Strong written and verbal communication skills. - Experience working with a world-class research team comprised of both scientists and engineers (e.g. in a top-3 lab). - Python experience, including understanding the intricacies of the language, the good vs. bad Pythonic ways of doing things and much of the wider ecosystem/tooling. - Experience building and maintaining systems on AWS or other cloud providers using infrastructure-as-code. Motivated candidates are encouraged to apply even if you don't meet all the above criteria. Required Experience We select based on skills and experience regarding the following areas: - Writing production quality code - Writing code efficiently - Python - Written communication - Verbal communication - Teamwork - Interpersonal skills - Tackling challenging problems Desired Experience We additionally may factor in experience with particular areas like: - Expertise in Cloud Infrastructure or Dev Ops (AWS, Azure, Kubernetes, Terraform, CDK, Docker, etc.) - Cybersecurity expertise - ML Ops (vLLM, agent frameworks, fine-tuning, RAG systems, etc.) What We Offer Impact you couldn't have anywhere else - Incredibly talented, mission-driven and supportive colleagues. - Direct influence on how frontier AI is governed and deployed globally. - Work with the Prime Minister’s AI Advisor and leading AI companies. - Opportunity to shape the first & best-resourced public-interest research team focused on AI security. Resources & access - Pre-release access to multiple frontier models and ample compute. - Extensive operational support so you can focus on research and ship quickly. - Work with experts across national security, policy, AI research and adjacent sciences. Growth & autonomy - If you’re talented and driven, you’ll own important problems early. - 5 days off and annual stipends for learning and development, and funding for conferences and external collaborations. - Freedom to pursue research bets without product pressure. - Opportunities to publish and collaborate externally. Life & family* - Modern central London office (cafes, food court, gym), or where applicable, option to work in similar government offices in Birmingham, Cardiff, Darlington, Edinburgh, Salford or Bristol. - Hybrid working, flexibility for occasional remote work abroad and stipends for work-from-home equipment. - At least 25 days’ annual leave, 8 public holidays, extra team-wide breaks and 3 days off for volunteering. - Generous paid parental leave (36 weeks of UK statutory leave shared between parents + 3 extra paid weeks + option for additional unpaid time). - On top of your salary, we contribute 28.97% of your base salary to your pension. - Discounts and benefits for cycling to work, donations and retail/gyms. *These benefits apply to direct employees. Benefits may differ for individuals joining through other employment arrangements such as secondments. Salary Annual salary is benchmarked to role scope and relevant experience. Most offers land between £65,000 and £145,000 made up of a base salary plus a technical allowance (take-home salary = base + technical allowance). An additional 28.97% employer pension contribution is paid on the base salary. This role sits outside of the DDaT pay framework given the scope of this role requires in depth technical expertise in frontier AI safety, robustness and advanced AI architectures. The full range of salaries are available below: - Level 3: £65,000–£75,000 (Base £39,850 + Technical Allowance £25,150–£35,150) - Level 4: £85,000–£95,000 (Base £47,355 + Technical Allowance £37,645–£47,645) - Level 5: £105,000–£115,000 (Base £61,620 + Technical Allowance £43,380–£53,380) - Level 6: £125,000–£135,000 (Base £74,605 + Technical Allowance £50,395–£60,395) - Level 7: £145,000 (Base £74,605 + Technical Allowance £70,395) Additional Information Use of AI in Applications Artificial Intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance for more information on appropriate and inappropriate use. Internal Fraud Database The Internal Fraud function of the Fraud, Error, Debt and Grants Function at the Cabinet Office processes details of civil servants who have been dismissed for committing internal fraud, or who would have been dismissed had they not resigned. The Cabinet Office receives the details from participating government organisations of civil servants who have been dismissed, or who would have been dismissed had they not resigned, for internal fraud. In instances such as this, civil servants are then banned for 5 years from further employment in the civil service. The Cabinet Office then processes this data and discloses a limited dataset back to DLUHC as a participating government organisations. DLUHC then carry out the pre employment checks so as to detect instances where known fraudsters are attempting to reapply for roles in the civil service. In this way, the policy is ensured and the repetition of internal fraud is prevented. For more information please see - Internal Fraud Register. Security Successful candidates must undergo a criminal record check and get baseline personnel security standard (BPSS) clearance before they can be appointed. Additionally, there is a strong preference for eligibility for counter-terrorist check (CTC) clearance . Some roles may require higher levels of clearance, and we will state this by exception in the job advertisement. See our vetting charter here. Nationality requirements We may be able to offer roles to applicant from any nationality or background . As such we encourage you to apply even if you do not meet the standard nationality requirements (opens in a new window). Working for the Civil Service The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy. Diversity and Inclusion The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan (opens in a new window) and the Civil Service Diversity and Inclusion Strategy (opens in a new window) . As part of the application process, we monitor statistics on D&I. You can see how we process this data here: Recruitment privacy notice - GOV.UK .
Senior Engineering Lead, Chem-Bio
About the AI Security Institute The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We’re in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally. We’re here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action. About the Team AISI's Chem Bio (CB) team conducts technical research to assess evolving AI capabilities related to science R&D and CB misuse, and the effectiveness of technical safeguards that might mitigate risks arising from those capabilities. The goal of our research is to inform critical decisions on security, opportunities, policy, and risk mitigation made by governments and AI developers. We're a close-knit, unusually interdisciplinary team—made up of machine learning researchers and engineers, software engineers, virologists and bacteriologists, behavioural research scientists, biosecurity experts, long-standing CB policy specialists and talented generalists—who work closely with other technical and policy teams across government. Role Responsibilities We are building a dedicated engineering function within the CB team — a small team that owns the shared platform, tooling, and infrastructure that our research projects depend on. This role leads that function. The successful candidate will: - Lead CB's engineering team — set technical direction, define engineering standards, and own the roadmap for shared infrastructure, tools, and components used across CB's research projects. - Line-manage a small number of engineers — provide regular support, feedback, and development guidance to direct reports (expect 1–3 reports as the team grows). - Design and build reliable systems — architect and deliver the core platform that enables researchers to run experiments and ship results quickly, including LLM-based agent systems, evaluation frameworks, and supporting infrastructure. - Work closely with researchers — translate varied research needs across general agents, science agents, chemical and biological models and other CB workstreams into well-engineered, maintainable systems. - Hire and grow the team — run hiring pipelines for future engineering roles, contribute to interview design and candidate assessment, and help shape what great engineering talent looks like at AISI. - Shape engineering culture— establish ways of working, code quality standards, and development practices for a growing engineering team embedded in a research-heavy environment. - Represent CB engineering across AISI — coordinate with Core Technology and other engineering teams to share tooling, align on infrastructure, and avoid duplication. Role Requirements We are looking for the following skills, experience and attitudes, but a successful candidate will not necessarily need to meet all these criteria. We can be flexible in shaping the role and salary to your background, expertise, and level of experience. - Significant experience writing production-level Python code that is scalable, robust, and easy to maintain, with a track record of leading technical work in a team. - Strong infrastructure and platform skills — experience with cloud environments (AWS), container orchestration (Kubernetes), and job scheduling (Slurm or similar). - Demonstrated experience leading or managing engineers — whether through formal line management, tech-leading a team, or running hiring pipelines. You don't need to have done all three, but you should be comfortable with at least one and keen to grow into the others. - Familiarity with the AI/ML ecosystem: OpenAI-compatible APIs, PyTorch, and the tooling around LLM-based systems. - Ability to work across multiple teams, understanding varied research needs and delivering reliable engineering solutions. - A sense of mission, urgency, and responsibility for success: Demonstrated ability to solve challenging problems, implement solutions efficiently and acquire any missing knowledge necessary to get the job done. Motivated to build software with direct policy impact. - Strong communication skills, with the ability to work effectively in a dynamic, multidisciplinary team environment. Strong candidates may also have: - Experience working in a research environment — you don't need to be a researcher, but you should be comfortable working alongside them and translating ambiguous research requirements into engineering plans. - Familiarity with computational biology tools, workflows, or datasets. - Experience building or maintaining internal developer platforms, shared libraries, or CI/CD systems for technical teams. Please note that this is a reserved post. We can only consider applications from UK nationals (including dual nationals who hold British citizenship). Appointment is conditional on successfully completing UK Government SC clearance. Prior clearance is not required—we will sponsor and support you. You should normally have been resident in the UK for the past 5 years. You may also be required to undergo Developed Vetting (DV). DV typically requires a longer period of UK residency (around 10 years). Employment is conditional on obtaining and maintaining the required clearance(s). More detail on clearance eligibility can be found on the UK Government website: National security vetting: clearance levels - GOV.UK Other core requirements - You should be able to spend at least 9 days per fortnight working with us. - You should be willing to work from our office in London (Whitehall) at least 3 days/week. - You should be UK-based. What We Offer Impact you couldn't have anywhere else - Incredibly talented, mission-driven and supportive colleagues. - Direct influence on how frontier AI is governed and deployed globally. - Work with the Prime Minister’s AI Advisor and leading AI companies. - Opportunity to shape the first & best-resourced public-interest research team focused on AI security. Resources & access - Pre-release access to multiple frontier models and ample compute. - Extensive operational support so you can focus on research and ship quickly. - Work with experts across national security, policy, AI research and adjacent sciences. Growth & autonomy - If you’re talented and driven, you’ll own important problems early. - 5 days off and annual stipends for learning and development, and funding for conferences and external collaborations. - Freedom to pursue research bets without product pressure. - Opportunities to publish and collaborate externally. Life & family* - Modern central London office (cafes, food court, gym), or where applicable, option to work in similar government offices in Birmingham, Cardiff, Darlington, Edinburgh, Salford or Bristol. - Hybrid working, flexibility for occasional remote work abroad and stipends for work-from-home equipment. - At least 25 days’ annual leave, 8 public holidays, extra team-wide breaks and 3 days off for volunteering. - Generous paid parental leave (36 weeks of UK statutory leave shared between parents + 3 extra paid weeks + option for additional unpaid time). - On top of your salary, we contribute 28.97% of your base salary to your pension. - Discounts and benefits for cycling to work, donations and retail/gyms. *These benefits apply to direct employees. Benefits may differ for individuals joining through other employment arrangements such as secondments. Salary Annual salary is benchmarked to role scope and relevant experience. Most offers land between £65,000 and £145,000 made up of a base salary plus a technical allowance (take-home salary = base + technical allowance). An additional 28.97% employer pension contribution is paid on the base salary. This role sits outside of the DDaT pay framework given the scope of this role requires in depth technical expertise in frontier AI safety, robustness and advanced AI architectures. The full range of salaries are available below: - Level 3: £65,000–£75,000 (Base £39,850 + Technical Allowance £25,150–£35,150) - Level 4: £85,000–£95,000 (Base £47,355 + Technical Allowance £37,645–£47,645) - Level 5: £105,000–£115,000 (Base £61,620 + Technical Allowance £43,380–£53,380) - Level 6: £125,000–£135,000 (Base £74,605 + Technical Allowance £50,395–£60,395) - Level 7: £145,000 (Base £74,605 + Technical Allowance £70,395) Additional Information Use of AI in Applications Artificial Intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance for more information on appropriate and inappropriate use. Internal Fraud Database The Internal Fraud function of the Fraud, Error, Debt and Grants Function at the Cabinet Office processes details of civil servants who have been dismissed for committing internal fraud, or who would have been dismissed had they not resigned. The Cabinet Office receives the details from participating government organisations of civil servants who have been dismissed, or who would have been dismissed had they not resigned, for internal fraud. In instances such as this, civil servants are then banned for 5 years from further employment in the civil service. The Cabinet Office then processes this data and discloses a limited dataset back to DLUHC as a participating government organisations. DLUHC then carry out the pre employment checks so as to detect instances where known fraudsters are attempting to reapply for roles in the civil service. In this way, the policy is ensured and the repetition of internal fraud is prevented. For more information please see - Internal Fraud Register. Security Successful candidates must undergo a criminal record check and get baseline personnel security standard (BPSS) clearance before they can be appointed. Additionally, there is a strong preference for eligibility for counter-terrorist check (CTC) clearance . Some roles may require higher levels of clearance, and we will state this by exception in the job advertisement. See our vetting charter here. Nationality requirements We may be able to offer roles to applicant from any nationality or background . As such we encourage you to apply even if you do not meet the standard nationality requirements (opens in a new window). Working for the Civil Service The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy. Diversity and Inclusion The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan (opens in a new window) and the Civil Service Diversity and Inclusion Strategy (opens in a new window) . As part of the application process, we monitor statistics on D&I. You can see how we process this data here: Recruitment privacy notice - GOV.UK .
Frontier Research Engineer, Security
About the AI Security Institute The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We’re in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally. We’re here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action. The deadline for applying to this role is Sunday 19th July 2026, end of day, anywhere on Earth. About the Team: Security Engineering at the AI Security Institute (AISI) exists to help our researchers move fast, safely. We treat security as a measurable, researcher-centric product. We build s ecure-by-design platforms, automated governance, and intelligence-led detection that protects our people, partners, models, and data. We work shoulder to shoulder with research units and core technology teams, and we optimise for enablement over gatekeeping, proportionate controls, low ego, and high ownership. What you might work on: - Help design and ship paved roads and secure defaults across our platform so researchers can build quickly and safely - Build tooling and reusable infrastructure-as-code modules that make the secure path the easy path - Build provenance and integrity into the software supply chain (signing, attestation, artefact verification, reproducibility) - Support strengthened identity, segmentation, secrets, and key management to create a defensible foundation for evaluations at scale - Develop automated, evidence-driven assurance mapped to relevant standards, reducing audit toil and improving signal - Create detections and response playbooks tailored to model evaluations and research workflows, and run exercises to validate them - Threat model new evaluation pipelines with research and core technology teams, fixing classes of issues at the platform layer - Assess third-party services and hardware/software supply chains, and introduce lightweight controls that raise the bar - Contribute to open standards and open source, and share lessons with the broader community where appropriate If you want to build security that accelerates frontier-scale AI safety research, and see your work land in production quickly, this is a good place to do it. Role Summary: We're looking for a strong software engineer who's drawn to security. Someone who would rather ship a paved road than write a policy, and who's excited by the prospect of building the security foundations for frontier-scale AI safety research. You don't need to be a career security specialist. You do need to be a genuinely good engineer who thinks adversarially, cares about getting the defaults right, and wants to go deep on security over the coming years. Working as a hands-on engineer on AISI's Security Engineering team, building the secure-by-default patterns, reusable controls, and guardrails that the rest of the organisation builds on top of. You'll spend at least your first year focused on platform and product security, embedding safe practices across the development lifecycle, hardening our cloud and CI/CD foundations, and partnering with engineers to fix classes of issues rather than one-off bugs. You'll build influence through enablement, not enforcement. Over time, you'll extend these patterns. We expect your security depth to grow on the job; we'll back that with mentorship, learning budget, and real ownership early. Responsibilities: - Write production-quality code and reusable infrastructure-as-code (Terraform, CDK, etc.) that delivers secure-by-default modules, bootstrap templates, and reference architectures - Build tooling for identity, secrets, environment isolation, and pipeline hardening - Develop and help maintain a baseline cloud control set (e.g. SCPs, logging, tagging) and improve cloud posture with automated feedback loops - Provide consulting and coaching to platform and product teams to support secure delivery - Threat model new and existing systems with research and core technology teams, and fix issues at the platform layer - Build provenance and integrity into the software supply chain (signing, attestation, artefact verification) - Help create detections and response playbooks, support post-incident reviews, and design for resilience - Align technical controls with governance and shared responsibility boundaries Profile requirements: You may be a good fit if you have some of the following skills, experience, and attitudes: - Writing production-quality code at a fast pace, and designing, shipping, and maintaining complex tech products - A genuine pull towards security, you think adversarially, enjoy understanding how systems break, and want to make the secure path the default path - Strong Python and/or another production language, including the good vs. bad ways of doing things and a feel for the wider ecosystem and tooling - Experience building and maintaining systems on AWS or other cloud providers using infrastructure-as-code (Terraform, CDK, etc.) - Solid understanding of CI/CD pipelines and the software development lifecycle - You take the trajectory of frontier AI seriously, and you're motivated by the mission of making it safe - Strong written and verbal communication, and the ability to build influence in cross-functional environments - Improving technical standards across a team through mentoring and feedback Motivated candidates are encouraged to apply even if you don't meet all the above criteria. We care more about engineering ability, security instinct, and trajectory than a long security CV. Desired experience: We additionally may factor in experience with areas like: - Cloud security, identity, networking, and org-level services - Cybersecurity expertise (threat modelling, detection and response, supply-chain security, secrets management) - Software supply-chain security and provenance - ML Ops and AI/ML platform surfaces - Practical understanding of AI/ML risks Key Competencies: - Strong software engineering and the ability to design reusable IaC components - Security instinct: threat modelling, secure defaults, and paved paths - Collaboration across platform and research teams - Cloud fundamentals (AWS), with appetite to go deep on cloud security - Growing capability in securing AI/ML workloads and artefacts - Clear communication and influence without authority Security Clearance: Appointment is conditional on successfully completing UK Government SC clearance. Prior clearance is not required—we will sponsor and support you. You should normally have been resident in the UK for the past 5 years. More detail on clearance eligibility can be found on the UK Government website: National security vetting: clearance levels - GOV.UK. What We Offer Impact you couldn't have anywhere else - Incredibly talented, mission-driven and supportive colleagues. - Direct influence on how frontier AI is governed and deployed globally. - Work with the Prime Minister’s AI Advisor and leading AI companies. - Opportunity to shape the first & best-resourced public-interest research team focused on AI security. Resources & access - Pre-release access to multiple frontier models and ample compute. - Extensive operational support so you can focus on research and ship quickly. - Work with experts across national security, policy, AI research and adjacent sciences. Growth & autonomy - If you’re talented and driven, you’ll own important problems early. - 5 days off and annual stipends for learning and development, and funding for conferences and external collaborations. - Freedom to pursue research bets without product pressure. - Opportunities to publish and collaborate externally. Life & family* - Modern central London office (cafes, food court, gym), or where applicable, option to work in similar government offices in Birmingham, Cardiff, Darlington, Edinburgh, Salford or Bristol. - Hybrid working, flexibility for occasional remote work abroad and stipends for work-from-home equipment. - At least 25 days’ annual leave, 8 public holidays, extra team-wide breaks and 3 days off for volunteering. - Generous paid parental leave (36 weeks of UK statutory leave shared between parents + 3 extra paid weeks + option for additional unpaid time). - On top of your salary, we contribute 28.97% of your base salary to your pension. - Discounts and benefits for cycling to work, donations and retail/gyms. *These benefits apply to direct employees. Benefits may differ for individuals joining through other employment arrangements such as secondments. Salary Annual salary is benchmarked to role scope and relevant experience. Most offers land between £65,000 and £145,000 made up of a base salary plus a technical allowance (take-home salary = base + technical allowance). An additional 28.97% employer pension contribution is paid on the base salary. This role sits outside of the DDaT pay framework given the scope of this role requires in depth technical expertise in frontier AI safety, robustness and advanced AI architectures. The full range of salaries are available below: - Level 3: £65,000–£75,000 (Base £39,850 + Technical Allowance £25,150–£35,150) - Level 4: £85,000–£95,000 (Base £47,355 + Technical Allowance £37,645–£47,645) - Level 5: £105,000–£115,000 (Base £61,620 + Technical Allowance £43,380–£53,380) - Level 6: £125,000–£135,000 (Base £74,605 + Technical Allowance £50,395–£60,395) - Level 7: £145,000 (Base £74,605 + Technical Allowance £70,395) Additional Information Use of AI in Applications Artificial Intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance for more information on appropriate and inappropriate use. Internal Fraud Database The Internal Fraud function of the Fraud, Error, Debt and Grants Function at the Cabinet Office processes details of civil servants who have been dismissed for committing internal fraud, or who would have been dismissed had they not resigned. The Cabinet Office receives the details from participating government organisations of civil servants who have been dismissed, or who would have been dismissed had they not resigned, for internal fraud. In instances such as this, civil servants are then banned for 5 years from further employment in the civil service. The Cabinet Office then processes this data and discloses a limited dataset back to DLUHC as a participating government organisations. DLUHC then carry out the pre employment checks so as to detect instances where known fraudsters are attempting to reapply for roles in the civil service. In this way, the policy is ensured and the repetition of internal fraud is prevented. For more information please see - Internal Fraud Register. Security Successful candidates must undergo a criminal record check and get baseline personnel security standard (BPSS) clearance before they can be appointed. Additionally, there is a strong preference for eligibility for counter-terrorist check (CTC) clearance . Some roles may require higher levels of clearance, and we will state this by exception in the job advertisement. See our vetting charter here. Nationality requirements We may be able to offer roles to applicant from any nationality or background . As such we encourage you to apply even if you do not meet the standard nationality requirements (opens in a new window). Working for the Civil Service The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy. Diversity and Inclusion The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan (opens in a new window) and the Civil Service Diversity and Inclusion Strategy (opens in a new window) . As part of the application process, we monitor statistics on D&I. You can see how we process this data here: Recruitment privacy notice - GOV.UK .
Expression of Interest- Red Team
About the AI Security Institute The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We’re in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally. We’re here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action. Expression of Interest - Red Team AISI's Red Team is open to expressions of interest from talented research engineers and scientists of all levels of seniority who want to work at the forefront of frontier AI safety and security but do not see a role listed that matches their skills and experience. Our talent team will reach out should a role arise that may be a good match. Team Description The Red Team conducts cutting edge research to identify, evaluate and stress test vulnerabilities in frontier AI systems, sharing our findings directly with leading AI companies, UK officials and allied governments to inform deployment, research and policy decisions. The Red Team is composed of three specialised sub teams, each tackling a distinct set of challenges. While each sub team has its own focus, we work closely together, sharing methodologies, tooling, research insights and findings across the wider Red Team. Many of our most impactful projects draw on expertise from across all three sub teams, and we actively encourage collaboration in working to tackle the most pressing challenges in frontier AI safety and security. Alignment The Alignment sub-team focuses on detecting, evaluating and understanding misalignment in frontier AI systems. Our work centres on loss of control risks, including deceptive alignment, research sabotage and self-exfiltration attempts. We carry out novel research to develop techniques for finding misalignment, investigate how to attribute misaligned behaviour to more fundamental concerns such as instrumental convergence, and conduct pre and post deployment evaluations. We share our findings with frontier AI companies and with the UK and allied governments to inform deployment, research and policy making, and we work directly with safety teams at frontier labs to help improve their alignment training and monitoring methodologies. Misuse The Misuse sub-team focuses on stress testing frontier AI safeguards for dangerous capabilities, researching novel attack vectors and developing advanced automated attack tooling. Our work probes the robustness of safeguards against real world threats, helping to identify where frontier systems may be vulnerable to exploitation and where defences need to be strengthened. We share our findings with frontier AI companies, including Anthropic, OpenAI and DeepMind, as well as with key UK officials and other governments, to inform their deployment, research and policy decisions and to support the development of more resilient safeguards across the frontier AI ecosystem. Control The Control sub-team partners with leading frontier AI companies to stress test control measures designed to prevent AI systems from causing harm. Drawing on techniques from adversarial machine learning, we develop algorithms to uncover a wide range of failures in control measures and use these findings to assess and strengthen them. These partnerships allow us to directly influence vital control measures, while our position within government enables us to bring our understanding of the current state of control measures to wider government as critical deployment, research, and policy decisions are made. Salary £65,000 - £145,000 GBP What We Offer Impact you couldn't have anywhere else - Incredibly talented, mission-driven and supportive colleagues. - Direct influence on how frontier AI is governed and deployed globally. - Work with the Prime Minister’s AI Advisor and leading AI companies. - Opportunity to shape the first & best-resourced public-interest research team focused on AI security. Resources & access - Pre-release access to multiple frontier models and ample compute. - Extensive operational support so you can focus on research and ship quickly. - Work with experts across national security, policy, AI research and adjacent sciences. Growth & autonomy - If you’re talented and driven, you’ll own important problems early. - 5 days off and annual stipends for learning and development, and funding for conferences and external collaborations. - Freedom to pursue research bets without product pressure. - Opportunities to publish and collaborate externally. Life & family* - Modern central London office (cafes, food court, gym), or where applicable, option to work in similar government offices in Birmingham, Cardiff, Darlington, Edinburgh, Salford or Bristol. - Hybrid working, flexibility for occasional remote work abroad and stipends for work-from-home equipment. - At least 25 days’ annual leave, 8 public holidays, extra team-wide breaks and 3 days off for volunteering. - Generous paid parental leave (36 weeks of UK statutory leave shared between parents + 3 extra paid weeks + option for additional unpaid time). - On top of your salary, we contribute 28.97% of your base salary to your pension. - Discounts and benefits for cycling to work, donations and retail/gyms. *These benefits apply to direct employees. Benefits may differ for individuals joining through other employment arrangements such as secondments. Salary Annual salary is benchmarked to role scope and relevant experience. Most offers land between £65,000 and £145,000 made up of a base salary plus a technical allowance (take-home salary = base + technical allowance). An additional 28.97% employer pension contribution is paid on the base salary. This role sits outside of the DDaT pay framework given the scope of this role requires in depth technical expertise in frontier AI safety, robustness and advanced AI architectures. The full range of salaries are available below: - Level 3: £65,000–£75,000 (Base £39,850 + Technical Allowance £25,150–£35,150) - Level 4: £85,000–£95,000 (Base £47,355 + Technical Allowance £37,645–£47,645) - Level 5: £105,000–£115,000 (Base £61,620 + Technical Allowance £43,380–£53,380) - Level 6: £125,000–£135,000 (Base £74,605 + Technical Allowance £50,395–£60,395) - Level 7: £145,000 (Base £74,605 + Technical Allowance £70,395) Additional Information Use of AI in Applications Artificial Intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance for more information on appropriate and inappropriate use. Internal Fraud Database The Internal Fraud function of the Fraud, Error, Debt and Grants Function at the Cabinet Office processes details of civil servants who have been dismissed for committing internal fraud, or who would have been dismissed had they not resigned. The Cabinet Office receives the details from participating government organisations of civil servants who have been dismissed, or who would have been dismissed had they not resigned, for internal fraud. In instances such as this, civil servants are then banned for 5 years from further employment in the civil service. The Cabinet Office then processes this data and discloses a limited dataset back to DLUHC as a participating government organisations. DLUHC then carry out the pre employment checks so as to detect instances where known fraudsters are attempting to reapply for roles in the civil service. In this way, the policy is ensured and the repetition of internal fraud is prevented. For more information please see - Internal Fraud Register. Security Successful candidates must undergo a criminal record check and get baseline personnel security standard (BPSS) clearance before they can be appointed. Additionally, there is a strong preference for eligibility for counter-terrorist check (CTC) clearance . Some roles may require higher levels of clearance, and we will state this by exception in the job advertisement. See our vetting charter here. Nationality requirements We may be able to offer roles to applicant from any nationality or background . As such we encourage you to apply even if you do not meet the standard nationality requirements (opens in a new window). Working for the Civil Service The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy. Diversity and Inclusion The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan (opens in a new window) and the Civil Service Diversity and Inclusion Strategy (opens in a new window) . As part of the application process, we monitor statistics on D&I. You can see how we process this data here: Recruitment privacy notice - GOV.UK .
Expression of Interest- Chem Bio
About the AI Security Institute The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We’re in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally. We’re here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action. Expression of Interest – Chem Bio AISI’s Chem Bio team is open to expressions of interest from talented research engineers and scientists of all levels of seniority who want to work at the forefront of frontier AI safety and security, but do not see a role listed that matches their skills and experience. Our talent team will reach out should a role arise that may be a good match. Team Description The Chem Bio team conducts cutting-edge research to understand, evaluate and mitigate chemical and biological risks associated with frontier AI systems. We assess the extent to which advanced models may enable harmful capabilities, develop methods for evaluating these risks rigorously, and share our findings directly with leading AI companies, UK officials and allied governments to inform deployment, research and policy decisions. Our work spans a range of technical and scientific challenges, including capability elicitation, model evaluations, benchmarking, threat modelling, and the development of safeguards and monitoring approaches. We combine expertise from machine learning, chemistry, biology, biosecurity and related disciplines to better understand how frontier AI systems may affect the chemical and biological risk landscape. We work closely with partners across government, academia and industry, and collaborate with other technical teams across AISI to ensure our work is scientifically rigorous, operationally relevant and decision-useful. Many of our most impactful projects draw on expertise from across multiple domains, and we actively encourage collaboration in tackling the most pressing challenges in frontier AI safety and security. What you might work on Depending on your background and the needs of the team, you could contribute to work such as: - Designing and running evaluations to assess chemical and biological capabilities in frontier AI systems - Developing benchmarks, datasets and experimental protocols for assessing high-consequence risks - Studying how model capabilities may generalise or transfer across scientific domains and task settings - Building tools and automated methods for capability elicitation, testing and monitoring - Investigating model safeguards and identifying where they may fail or require strengthening - Conducting threat modelling and risk analysis to understand realistic pathways to harm - Translating technical findings into actionable recommendations for frontier AI companies and government stakeholders - Working with external partners in science, security and policy to improve the broader ecosystem’s understanding of chem/bio-related AI risks Who we’re interested in We are interested in hearing from candidates with strong technical, scientific or research backgrounds relevant to the Chem Bio team’s mission. This may include people with experience in: - Machine learning, especially evaluation, robustness, interpretability or capability assessment - Computational biology, bioinformatics, molecular biology, synthetic biology or related life sciences - Chemistry, computational chemistry, cheminformatics or related disciplines - Biosecurity, chemical security, threat assessment or dual-use risk analysis - Research engineering, scientific software, automation or infrastructure for technical research - Experimental design, benchmarking and empirical evaluation - Interdisciplinary work at the intersection of AI and the natural sciences We welcome expressions of interest from people at a range of seniority levels, including individual contributors, technical leads and research managers. Salary £65,000 - £145,000 GBP What We Offer Impact you couldn't have anywhere else - Incredibly talented, mission-driven and supportive colleagues. - Direct influence on how frontier AI is governed and deployed globally. - Work with the Prime Minister’s AI Advisor and leading AI companies. - Opportunity to shape the first & best-resourced public-interest research team focused on AI security. Resources & access - Pre-release access to multiple frontier models and ample compute. - Extensive operational support so you can focus on research and ship quickly. - Work with experts across national security, policy, AI research and adjacent sciences. Growth & autonomy - If you’re talented and driven, you’ll own important problems early. - 5 days off and annual stipends for learning and development, and funding for conferences and external collaborations. - Freedom to pursue research bets without product pressure. - Opportunities to publish and collaborate externally. Life & family* - Modern central London office (cafes, food court, gym), or where applicable, option to work in similar government offices in Birmingham, Cardiff, Darlington, Edinburgh, Salford or Bristol. - Hybrid working, flexibility for occasional remote work abroad and stipends for work-from-home equipment. - At least 25 days’ annual leave, 8 public holidays, extra team-wide breaks and 3 days off for volunteering. - Generous paid parental leave (36 weeks of UK statutory leave shared between parents + 3 extra paid weeks + option for additional unpaid time). - On top of your salary, we contribute 28.97% of your base salary to your pension. - Discounts and benefits for cycling to work, donations and retail/gyms. *These benefits apply to direct employees. Benefits may differ for individuals joining through other employment arrangements such as secondments. Salary Annual salary is benchmarked to role scope and relevant experience. Most offers land between £65,000 and £145,000 made up of a base salary plus a technical allowance (take-home salary = base + technical allowance). An additional 28.97% employer pension contribution is paid on the base salary. This role sits outside of the DDaT pay framework given the scope of this role requires in depth technical expertise in frontier AI safety, robustness and advanced AI architectures. The full range of salaries are available below: - Level 3: £65,000–£75,000 (Base £39,850 + Technical Allowance £25,150–£35,150) - Level 4: £85,000–£95,000 (Base £47,355 + Technical Allowance £37,645–£47,645) - Level 5: £105,000–£115,000 (Base £61,620 + Technical Allowance £43,380–£53,380) - Level 6: £125,000–£135,000 (Base £74,605 + Technical Allowance £50,395–£60,395) - Level 7: £145,000 (Base £74,605 + Technical Allowance £70,395) Additional Information Use of AI in Applications Artificial Intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance for more information on appropriate and inappropriate use. Internal Fraud Database The Internal Fraud function of the Fraud, Error, Debt and Grants Function at the Cabinet Office processes details of civil servants who have been dismissed for committing internal fraud, or who would have been dismissed had they not resigned. The Cabinet Office receives the details from participating government organisations of civil servants who have been dismissed, or who would have been dismissed had they not resigned, for internal fraud. In instances such as this, civil servants are then banned for 5 years from further employment in the civil service. The Cabinet Office then processes this data and discloses a limited dataset back to DLUHC as a participating government organisations. DLUHC then carry out the pre employment checks so as to detect instances where known fraudsters are attempting to reapply for roles in the civil service. In this way, the policy is ensured and the repetition of internal fraud is prevented. For more information please see - Internal Fraud Register. Security Successful candidates must undergo a criminal record check and get baseline personnel security standard (BPSS) clearance before they can be appointed. Additionally, there is a strong preference for eligibility for counter-terrorist check (CTC) clearance . Some roles may require higher levels of clearance, and we will state this by exception in the job advertisement. See our vetting charter here. Nationality requirements We may be able to offer roles to applicant from any nationality or background . As such we encourage you to apply even if you do not meet the standard nationality requirements (opens in a new window). Working for the Civil Service The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy. Diversity and Inclusion The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan (opens in a new window) and the Civil Service Diversity and Inclusion Strategy (opens in a new window) . As part of the application process, we monitor statistics on D&I. You can see how we process this data here: Recruitment privacy notice - GOV.UK .
Delivery Lead (Intelligence Community), Public Sector
Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We’re building enterprise-grade generative AI solutions and delivering them into operational use cases that matter. We’re hiring a delivery lead to spearhead contract execution for a critical national security customer. As leader within our Public Sector Delivery team, you will own the account plan, manage day-to-day execution for a flagship customer, and ensure an incredible customer experience. You are the ultimate all-rounder, a hybrid customer success, people influencer, and technical program manager. This role is ideal for someone who blends program leadership, technical fluency, and contract awareness — and who thrives in fast-moving, ambiguous, and mission-driven environments. You will: - Manage customer relationships from the executive to the end user - Work alongside national security & intelligence community customers to scope agentic workflow use cases that Scale’s engineering team will build and refine - Lead a cross-functional project team to deliver on and exceed the customer's AI/ML objectives - Lead with a “whatever-it-takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success - Oversee onboarding and successful implementation of customer accounts Must haves: - An active TS/SCI clearance with full-scope polygraph (FSP) - 10+ years of work experience succeeding in stakeholder management or customer-facing role - Familiarity with the U.S. intelligence community and national security apparatus as a user base - A basic understanding of the ML operations process including processes underpinning GenAI data labeling, training, and test & evaluation - A track record of structured, analytics-driven problem solving - Excellent verbal and written communication skills - High cross-functional influence and EQ - Willingness to be onsite with a customer in vicinity of Columbia, MD 3+ days per week and able to travel at least 25% of the time (as needed) We have a diverse team with a variety of skill sets, many have: - Professional experience, often in a customer-facing technical program management role in industry or government. - Prior experience managing technical customers - A technical degree in computer science, engineering, or related field - Prior experience owning the technical implementation of solutions to the government - Proficiency in Python, SQL or other programming languages Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of Maryland is: $166,400 - $242,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Technical Program Manager, Hardware Chips Development
About the Team We believe that increasing compute is a huge lever to AI progress. The Hardware team owns the design and/or sourcing of the compute, storage and interconnect hardware needed to build OpenAI’s supercomputers at the scale needed to deliver AGI that is beneficial to humanity. This includes: - Optimizing the processing hardware for AI models - Designing memory systems to keep up with the needs of training and inference - Enabling the scale-up and scale-out interconnect fabrics create the world’s most power supercomputers We work at the very cutting edge of speed and scale. You won’t encounter another organization with as much compute per employee. We are a small team that moves quickly, with access to huge resources, working with a direct impact on the success of OpenAI and, by extension, the field of AI as a whole. About the Role As a Hardware Chips Programs Manager at OpenAI, you will help bring our chips hardware roadmap to life, navigating an array of technical and partnership challenges. We’re looking for people excited to push the frontiers of computing by navigating technical explorations and are passionate about building. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. "To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations." In this role, you will: - Manage the design and implementation planning of our ML acceleration hardware, working across technical, cross-functional and external stakeholders - Lead planning and scheduling of chip hardware designs with our strategic partners and vendors - Coordinate and marshal internal resources and communication for efficient interaction with partners and vendors. You might thrive in this role if you: - Have experience as a technical program manager for data center hardware products (server, GPU, TPU, networking, storage and so on) - Know the whole end-to-end system program management from concept, design, production, deployment into the data center - Have some experience with System SW programs through NPI - Want to help design some of the world’s largest supercomputing systems, working at the edge of complex hardware challenges - Enjoy working with and enabling world-class AI Researchers and Engineers - Are passionate about the technical program function, and enjoy independently owning and delivering on your teams’ goals and cutting-edge problems in AI compute About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Technical Deployment Lead, Forward Deployed Engineering - Zurich
About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. This is not a management role, however you'll own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in Zurich. We use a hybrid model of 3 days in office and offer relocation assistance. Travel up to 50% is required. In this role, you will: - Own the technical delivery plan for multiple interdependent workstreams. Translate business objectives into a roadmap with milestones, dependencies, and acceptance criteria. - Run day-to-day engineering execution. Track and drive delivery across OpenAI FDE and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path. - Embed with customer teams to land production deployments and drive adoption. Map workflows, shape tools/integrations, and translate requirements into a delivery plan. Lead onboarding, adoption, and change management. - Partner with Product and Research so platform components and research workstreams land in time to support deployment goals. - Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models. - Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors. You’ll thrive in this role if you: - Bring 7+ years of customer‑facing technical delivery leadership. - Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight coordination and fast decision making, ideally involving AI. - Excel in high ambiguity environments. Know how to simplify complex and dynamic work. - Move fluidly between system level understanding and execution level detail; can dive into customer workflows/data, map constraints, sketch architectures and move ambiguous problems to shipped systems. - Think strategically and pattern-match. Able to step back from execution detail, recognise broader trends across deployments, and connect customer needs to scalable, reusable solutions. - Have strong technical fluency and sharp sequencing instincts. Confident discussing technical details, pressure-testing architectures, and making trade-offs. - Have shipped AI/LLM systems. You understand solution patterns, integration basics, and production pitfalls. - You’re a translator with executive presence. You make complex technical trade-offs legible to business leaders and convert strategy into day-to-day technical execution. - Enjoy being onsite with customers to accelerate delivery (often 25-50%, sometimes higher). - Have expertise in at least one major sector (e.g., healthcare, energy, financial services, semiconductors, IT) to elevate solution framing and credibility. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Technical Deployment Lead, Forward Deployed Engineering - Stockholm
About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. This is not a management role, however you'll own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in Stockholm. We use a hybrid model of 3 days in office and offer relocation assistance. Travel up to 50% is required. In this role, you will: - Own the technical delivery plan for multiple interdependent workstreams. Translate business objectives into a roadmap with milestones, dependencies, and acceptance criteria. - Run day-to-day engineering execution. Track and drive delivery across OpenAI FDE and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path. - Embed with customer teams to land production deployments and drive adoption. Map workflows, shape tools/integrations, and translate requirements into a delivery plan. Lead onboarding, adoption, and change management. - Partner with Product and Research so platform components and research workstreams land in time to support deployment goals. - Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models. - Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors. You’ll thrive in this role if you: - Bring 7+ years of customer‑facing technical delivery leadership. - Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight coordination and fast decision making, ideally involving AI. - Excel in high ambiguity environments. Know how to simplify complex and dynamic work. - Move fluidly between system level understanding and execution level detail; can dive into customer workflows/data, map constraints, sketch architectures and move ambiguous problems to shipped systems. - Think strategically and pattern-match. Able to step back from execution detail, recognise broader trends across deployments, and connect customer needs to scalable, reusable solutions. - Have strong technical fluency and sharp sequencing instincts. Confident discussing technical details, pressure-testing architectures, and making trade-offs. - Have shipped AI/LLM systems. You understand solution patterns, integration basics, and production pitfalls. - You’re a translator with executive presence. You make complex technical trade-offs legible to business leaders and convert strategy into day-to-day technical execution. - Enjoy being onsite with customers to accelerate delivery (often 25-50%, sometimes higher). - Have expertise in at least one major sector (e.g., healthcare, energy, financial services, semiconductors, IT) to elevate solution framing and credibility. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Technical Deployment Lead, Forward Deployed Engineering - Paris
About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. This is not a management role, however you'll own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in Paris. We use a hybrid model of 3 days in office and offer relocation assistance. Travel up to 50% is required. In this role, you will: - Own the technical delivery plan for multiple interdependent workstreams. Translate business objectives into a roadmap with milestones, dependencies, and acceptance criteria. - Run day-to-day engineering execution. Track and drive delivery across OpenAI FDE and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path. - Embed with customer teams to land production deployments and drive adoption. Map workflows, shape tools/integrations, and translate requirements into a delivery plan. Lead onboarding, adoption, and change management. - Partner with Product and Research so platform components and research workstreams land in time to support deployment goals. - Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models. - Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors. You’ll thrive in this role if you: - Bring 7+ years of customer‑facing technical delivery leadership. - Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight coordination and fast decision making, ideally involving AI. - Excel in high ambiguity environments. Know how to simplify complex and dynamic work. - Move fluidly between system level understanding and execution level detail; can dive into customer workflows/data, map constraints, sketch architectures and move ambiguous problems to shipped systems. - Think strategically and pattern-match. Able to step back from execution detail, recognise broader trends across deployments, and connect customer needs to scalable, reusable solutions. - Have strong technical fluency and sharp sequencing instincts. Confident discussing technical details, pressure-testing architectures, and making trade-offs. - Have shipped AI/LLM systems. You understand solution patterns, integration basics, and production pitfalls. - You’re a translator with executive presence. You make complex technical trade-offs legible to business leaders and convert strategy into day-to-day technical execution. - Enjoy being onsite with customers to accelerate delivery (often 25-50%, sometimes higher). - Have expertise in at least one major sector (e.g., healthcare, energy, financial services, semiconductors, IT) to elevate solution framing and credibility. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Technical Deployment Lead, Forward Deployed Engineering - Madrid
About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. This is not a management role, however you'll own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in Madrid. We use a hybrid model of 3 days in office and offer relocation assistance. Travel up to 50% is required. In this role, you will: - Own the technical delivery plan for multiple interdependent workstreams. Translate business objectives into a roadmap with milestones, dependencies, and acceptance criteria. - Run day-to-day engineering execution. Track and drive delivery across OpenAI FDE and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path. - Embed with customer teams to land production deployments and drive adoption. Map workflows, shape tools/integrations, and translate requirements into a delivery plan. Lead onboarding, adoption, and change management. - Partner with Product and Research so platform components and research workstreams land in time to support deployment goals. - Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models. - Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors. You’ll thrive in this role if you: - Bring 7+ years of customer‑facing technical delivery leadership. - Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight coordination and fast decision making, ideally involving AI. - Excel in high ambiguity environments. Know how to simplify complex and dynamic work. - Move fluidly between system level understanding and execution level detail; can dive into customer workflows/data, map constraints, sketch architectures and move ambiguous problems to shipped systems. - Think strategically and pattern-match. Able to step back from execution detail, recognise broader trends across deployments, and connect customer needs to scalable, reusable solutions. - Have strong technical fluency and sharp sequencing instincts. Confident discussing technical details, pressure-testing architectures, and making trade-offs. - Have shipped AI/LLM systems. You understand solution patterns, integration basics, and production pitfalls. - You’re a translator with executive presence. You make complex technical trade-offs legible to business leaders and convert strategy into day-to-day technical execution. - Enjoy being onsite with customers to accelerate delivery (often 25-50%, sometimes higher). - Have expertise in at least one major sector (e.g., healthcare, energy, financial services, semiconductors, IT) to elevate solution framing and credibility. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Technical Deployment Lead, Forward Deployed Engineering - London
About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. This is not a management role, however you'll own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in London. We use a hybrid model of 3 days in office and offer relocation assistance. Travel up to 50% is required. In this role, you will: - Own the technical delivery plan for multiple interdependent workstreams. Translate business objectives into a roadmap with milestones, dependencies, and acceptance criteria. - Run day-to-day engineering execution. Track and drive delivery across OpenAI FDE and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path. - Embed with customer teams to land production deployments and drive adoption. Map workflows, shape tools/integrations, and translate requirements into a delivery plan. Lead onboarding, adoption, and change management. - Partner with Product and Research so platform components and research workstreams land in time to support deployment goals. - Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models. - Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors. You’ll thrive in this role if you: - Bring 7+ years of customer‑facing technical delivery leadership. - Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight coordination and fast decision making, ideally involving AI. - Excel in high ambiguity environments. Know how to simplify complex and dynamic work. - Move fluidly between system level understanding and execution level detail; can dive into customer workflows/data, map constraints, sketch architectures and move ambiguous problems to shipped systems. - Think strategically and pattern-match. Able to step back from execution detail, recognise broader trends across deployments, and connect customer needs to scalable, reusable solutions. - Have strong technical fluency and sharp sequencing instincts. Confident discussing technical details, pressure-testing architectures, and making trade-offs. - Have shipped AI/LLM systems. You understand solution patterns, integration basics, and production pitfalls. - You’re a translator with executive presence. You make complex technical trade-offs legible to business leaders and convert strategy into day-to-day technical execution. - Enjoy being onsite with customers to accelerate delivery (often 25-50%, sometimes higher). - Have expertise in at least one major sector (e.g., healthcare, energy, financial services, semiconductors, IT) to elevate solution framing and credibility. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Technical Deployment Lead, Forward Deployed Engineering - Dublin
About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. This is not a management role, however you'll own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in Dublin. We use a hybrid model of 3 days in office and offer relocation assistance. Travel up to 50% is required. In this role, you will: - Own the technical delivery plan for multiple interdependent workstreams. Translate business objectives into a roadmap with milestones, dependencies, and acceptance criteria. - Run day-to-day engineering execution. Track and drive delivery across OpenAI FDE and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path. - Embed with customer teams to land production deployments and drive adoption. Map workflows, shape tools/integrations, and translate requirements into a delivery plan. Lead onboarding, adoption, and change management. - Partner with Product and Research so platform components and research workstreams land in time to support deployment goals. - Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models. - Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors. You’ll thrive in this role if you: - Bring 7+ years of customer‑facing technical delivery leadership. - Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight coordination and fast decision making, ideally involving AI. - Excel in high ambiguity environments. Know how to simplify complex and dynamic work. - Move fluidly between system level understanding and execution level detail; can dive into customer workflows/data, map constraints, sketch architectures and move ambiguous problems to shipped systems. - Think strategically and pattern-match. Able to step back from execution detail, recognise broader trends across deployments, and connect customer needs to scalable, reusable solutions. - Have strong technical fluency and sharp sequencing instincts. Confident discussing technical details, pressure-testing architectures, and making trade-offs. - Have shipped AI/LLM systems. You understand solution patterns, integration basics, and production pitfalls. - You’re a translator with executive presence. You make complex technical trade-offs legible to business leaders and convert strategy into day-to-day technical execution. - Enjoy being onsite with customers to accelerate delivery (often 25-50%, sometimes higher). - Have expertise in at least one major sector (e.g., healthcare, energy, financial services, semiconductors, IT) to elevate solution framing and credibility. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
IT Engineer
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We are seeking our second IT Engineer to join our growing team in New York. Our team laid the foundation for IT at LangChain, and this role is critical to helping us mature and scale that foundation as the company grows. You'll bring deep technical expertise to our fleet management and SaaS administration, with room to shape how we manage our fleet, identity, SaaS stack, and the automation that runs the business. The ideal candidate brings startup experience, thrives in ambiguity, loves a good problem, and is excited to build scalable systems that support our global team. WHAT YOU'LL DO Infrastructure & Automation - Build and maintain our IT infrastructure and tech stack that scales with LangChain’s rapid growth - Drive automation initiatives to reduce toil and improve efficiency using scripts, APIs, and workflow tools - Implement monitoring and documentation practices that enable operational excellence Client Platform Engineering - Reimagine how we deploy, configure, and manage our Mac fleet. MDM (Iru) is the foundation, not the entire solution however. - Design and build a secure, reliable, and maintainable desktop environment that replaces our current patchwork of one-off scripts with version-controlled, testable, and repeatable systems - Own our approach to custom security controls and application deployment across the fleet, so updates and configuration changes are consistent and easy to roll out at scale - Build the fleet management systems now so they hold up as headcount, and the fleet, keep growing Security & Identity Management - Drive our identity strategy, implementing secure, scalable access controls following the principle of least privilege - Identify and implement security enhancements across our SaaS stack - Partner with our Security team to drive improvement of our enterprise security posture SaaS Administration - Administer and optimize our growing SaaS stack, managing provisioning, access controls, and lifecycle management - Become IT's central administrator for LangSmith, our own product, developing deep fluency in its administration surface - Build automated workflows for LangSmith administration using its API paired with our automation tooling, reducing manual, toil-heavy admin work - Help IT stay fluent across the internal tools we run and support, including the LLM Gateway. Another LangChain product. Core IT Operations - Provide support to employees globally across hardware, software, networking, and IT tools - Deliver great onboarding experiences for new hires, ensuring they have the right hardware, access, and setup so they can be productive from day one WHAT YOU'LL BRING - 4+ years of experience in IT engineering and systems administration - Deep proficiency with Okta and Okta Workflows - Fluency in at least one general-purpose programming language (Python, JavaScript, or similar) with demonstrated ability to write production-quality scripts and automation - Versed in the us of REST APIs, webhooks, and API authentication methods; you should be comfortable reading API documentation and building integrations between systems - Demonstrated ability to build meaningful automations that reduce manual work and improve IT operations - Hands-on experience with IaC using Terraform to manage and provision IT infrastructure and applications, and comfort applying changes within an existing Terraform codebase - Experience using coding agents (e.g. Claude Code) as part of your day-to-day engineering workflow to build and ship automation faster - Strong experience with a modern tech stack that includes Google Workspace, Slack, Notion, Claude, ChatGPT - Solid understanding of MDM platforms, and ideally experience going beyond baseline MDM with fleet/configuration management tooling to manage a fleet's security and application needs - Experience administering a large or complex SaaS stack, ideally including internal or AI/LLM-based products - Strong networking fundamentals (TCP/IP, DNS, VPNs, firewalls, switching, wireless, LAN/WAN) - Annual salary range: $120,000-$150,00 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Non-Eng Template
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. We're looking for an experienced, driven Enterprise Account Executive to drive ElevenLabs' growth across Italy's enterprises. Our ideal candidate has a well-established network and a proven track record of selling to C-level and senior decision-makers at major Italian organizations - and is passionate about the transformative possibilities of AI voice technology. In this role you'll act as a strategic partner and trusted advisor, enabling clients to leverage our industry-leading models and ElevenAgents - our end-to-end platform for building and deploying AI voice agents - to reimagine their customer experience, internal workflows, and monetization strategies. In this role you will: - Build and manage a growing portfolio of enterprise accounts across Italy - Identify new business opportunities where ElevenLabs' conversational AI capabilities - including ElevenAgents - can drive customer engagement, contact center automation, and operational efficiency. - Lead consultative, multi-stakeholder sales cycles, building compelling business cases that translate AI voice technology into measurable business value for senior executives and economic buyers. - Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends - particularly as they apply to regulated Italian industries - Demonstrate expertise - or a strong willingness to learn - about conversational AI and how ElevenLabs' voice technology can unlock value across customer support, virtual agents, IVR modernization, and in-app assistants - Develop and execute account strategies to expand ElevenLabs' presence within key enterprise verticals, navigating complex procurement and organizational structures. - Partner closely with Customer Success, FDEs and Solutions Engineering to ensure smooth onboarding, deployment, and expansion of accounts. - Serve as a trusted advisor to clients, educating C-suite and senior operations leaders on emerging trends in generative AI, voice interfaces, and conversational agents. Requirements: - 7+ years of quota‑carrying enterprise sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API‑driven platforms. - Proven success closing deals and managing long, complex sales cycles with multiple stakeholders across business, IT, legal, and procurement. - Well-connected in the Italian enterprise landscape, with an existing network of senior individuals and strong executive presence and ability to build relationships at the C‑suite and board level. - Experience selling technical solutions to product and engineering leaders; ability to translate complex technology into business value. - Deep understanding of enterprise procurement and legal processes in Spain/Italy, with the ability to accelerate deal velocity within complex organizational structures - Comfort operating in an early‑stage, high‑growth environment, including building new playbooks and iterating quickly. - Passion for voice and audio AI and how it can unlock transformative value for customers. - A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale - Native or full professional proficiency in Italian; strong English for internal collaboration. Spanish is a bonus. Location: This role is remote across the Italy but Milan is preferred.
Enterprise Account Executive - France & Benelux
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We’re looking for an experienced, motivated Enterprise Account Executive to drive ElevenLabs' growth with CAC40 and large-scale enterprises across France and Benelux. Our ideal candidate is passionate about the transformative possibilities of AI voice technology, and eager to act as a strategic partner - enabling organizations to leverage our industry-leading models and product to reimagine their customer experience, internal workflows, and monetization strategies. In this role you will: - Build and manage a growing portfolio of new accounts across industries adopting conversational AI to help ElevenLabs meet its revenue goals - Identify new business opportunities where ElevenLabs’ conversational AI capabilities can drive user engagement, automation, or cost efficiency - Develop and maintain a deep understanding of the AI Agents landscape, including customer use cases, competitive solutions, and emerging trends - Demonstrate expertise—or a strong willingness to learn—about conversational AI and how ElevenLabs’ voice technology can unlock value across customer support, virtual agents, in-app assistants, and more - Develop and execute account strategies to expand ElevenLabs’ presence within key enterprise verticals (e.g., healthcare, government, finance). - Partner closely with customer success and solutions engineering to ensure smooth onboarding and expansion of accounts. - Serve as a trusted advisor to clients, educating them on emerging trends in generative AI, voice interfaces, and conversational agents. Requirements - 7+ years of quota‑carrying enterprise sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API‑driven platforms. - Deep understanding of the French ecosystem - Proven success closing seven‑figure deals and managing complex sales cycles with multiple stakeholders. - Deep understanding of enterprise procurement and legal processes, with ability to accelerate deal velocity in France. - Experience selling technical solutions to product and engineering leaders; ability to translate complex technology into business value. - Strong executive presence and ability to build relationships at the C‑suite and board level. - Comfort operating in an early‑stage, high‑growth environment, including building new playbooks and iterating quickly. - Passion for voice and audio AI and how it can unlock transformative value for customers. - A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale Location This role is remote-first, so it can be executed from anywhere in the EMEA region, however the ability to operate in CET and GMT timezones is required. There is a preference for candidates to be based in Paris, with the option to work out of our office. #LI-remote
Account Executive- Spain - Enterprise
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. We're looking for an experienced, driven Enterprise Account Executive to drive ElevenLabs' growth across Spain/Italy's enterprises. Our ideal candidate has a well-established network and a proven track record of selling to C-level and senior decision-makers at major Spanish organizations - and is passionate about the transformative possibilities of AI voice technology. In this role you'll act as a strategic partner and trusted advisor, enabling clients to leverage our industry-leading models and ElevenAgents - our end-to-end platform for building and deploying AI voice agents - to reimagine their customer experience, internal workflows, and monetization strategies. In this role you will: - Build and manage a growing portfolio of enterprise accounts across Spain - Identify new business opportunities where ElevenLabs' conversational AI capabilities - including ElevenAgents - can drive customer engagement, contact center automation, and operational efficiency. - Lead consultative, multi-stakeholder sales cycles, building compelling business cases that translate AI voice technology into measurable business value for senior executives and economic buyers. - Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends - particularly as they apply to regulated Spanish industries - Demonstrate expertise - or a strong willingness to learn - about conversational AI and how ElevenLabs' voice technology can unlock value across customer support, virtual agents, IVR modernization, and in-app assistants - Develop and execute account strategies to expand ElevenLabs' presence within key enterprise verticals, navigating complex procurement and organizational structures. - Partner closely with Customer Success, FDEs and Solutions Engineering to ensure smooth onboarding, deployment, and expansion of accounts. - Serve as a trusted advisor to clients, educating C-suite and senior operations leaders on emerging trends in generative AI, voice interfaces, and conversational agents. Requirements - 7+ years of quota‑carrying enterprise sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API‑driven platforms. - Proven success closing deals and managing long, complex sales cycles with multiple stakeholders across business, IT, legal, and procurement. - Well-connected in the Spanish enterprise landscape, with an existing network of senior individuals and strong executive presence and ability to build relationships at the C‑suite and board level. - Experience selling technical solutions to product and engineering leaders; ability to translate complex technology into business value. - Deep understanding of enterprise procurement and legal processes in Spain, with the ability to accelerate deal velocity within complex organizational structures - Comfort operating in an early‑stage, high‑growth environment, including building new playbooks and iterating quickly. - Passion for voice and audio AI and how it can unlock transformative value for customers. - A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale - Native or full professional proficiency in Spanish; strong English for internal collaboration Location This role is remote across the Spain but Madrid is preferred. #LI-remote
Safeguards Enforcement Analyst, Integrity & Authenticity
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Safeguards Analyst focusing on Integrity & Authenticity, you will be responsible for building and executing enforcement workflows for our products and services, with a focus on detecting and mitigating attempts to misuse Anthropic's AI systems for coordinated inauthentic behavior, election manipulation, and targeting, tracking, and surveillance of individuals. Your work will span a broad and interconnected set of harm areas: AI-enabled influence operations and disinformation campaigns, the abuse of AI to interfere with electoral processes, and the use of AI systems to facilitate stalking, surveillance, profiling, and the targeting of individuals or groups. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a political, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays, particularly around major electoral events. Key responsibilities - Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy - Partner with Engineering and Data Science teams to optimize detection models for policy violations and automated enforcement systems - Review flagged content to drive enforcement and policy improvements - Enforce usage policies with a focus on detecting and mitigating AI-enabled influence operations, coordinated inauthentic behavior, election interference, and targeting, tracking, or surveillance of individuals and groups - Support the Safeguards policy design team by providing detailed feedback on policy gaps based on real enforcement scenarios - Keep up to date with emerging AI policy enforcement best practices, evolving threat actor tactics, and the regulatory landscape around elections, privacy, and surveillance, using these to inform our decision-making and workflows Minimum qualifications - Experience in trust & safety, policy enforcement, threat intelligence, or a closely related field with a focus on one or more of: influence operations, disinformation, coordinated inauthentic behavior, election integrity, or privacy and surveillance harms - Experience standing up and scaling policy enforcement or content review workflows - Proficiency in SQL and/or other data analysis tools to draw insights from large datasets - Experience identifying emerging risks and threat actors, and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams - Experience working with generative AI products, including writing effective prompts for content review and enforcement - Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space Preferred qualifications - Experience conducting cross-platform investigations into influence operations, coordinated inauthentic behavior, or disinformation campaigns - Familiarity with open-source intelligence (OSINT) techniques and tools used for threat actor tracking and network analysis - Working knowledge of privacy law, surveillance technology, or data broker ecosystems as they relate to targeting and tracking harms - Experience with large language models and an understanding of how AI technology could be misused to generate synthetic personas, fabricate quotes, or automate persuasion at scale - Familiarity with election security frameworks, campaign finance law, or electoral integrity standards in one or more jurisdictions - Experience navigating evolving regulatory landscapes relevant to this space (e.g., DSA, EU AI Act, FEC regulations, GDPR) - Experience working with election bodies, civil society organizations, or government agencies on integrity or disinformation-related issues - Proficiency in Python for data analysis and automation - Experience with dark web monitoring or tracking threat actors across surface, deep, and dark web environments The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 - $330,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Safeguards Enforcement Analyst, Cyber Harm
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enforcement Analyst, you will be responsible for reviewing content and executing enforcement actions across our products and services, with a focus on detecting and mitigating attempts to misuse Anthropic's AI systems for malicious cyber operations. Your initial focus will center on reviewing flagged activity related to cyberattacks, malware development, and offensive exploitation; however, this position may later expand to include broader areas of enforcement. Safety is core to our mission, and you'll help uphold policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, technical, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Key responsibilities - Review flagged content and accounts to make accurate, well-documented enforcement decisions in line with our usage policies - Detect and mitigate potential misuse of AI systems to facilitate cyberattacks, malware creation, exploitation tooling, and related harmful cyber operations - Triage and escalate novel, ambiguous, or high-severity cases to appropriate stakeholders - Provide detailed feedback to the Safeguards policy design team on policy gaps surfaced through real enforcement scenarios - Partner with Engineering and Data Science teams by surfacing detection model errors and quality signals from review to improve precision and recall - Maintain high accuracy and consistency standards across review queues - Keep up to date with emerging AI policy enforcement best practices, threat actor tactics, and the evolving cyber threat landscape, using these to inform enforcement decisions Minimum Qualifications - Experience in cybersecurity, including knowledge of offensive techniques, exploit development, malware analysis, or vulnerability research - Experience performing content review, abuse investigations, or policy enforcement at volume - Proficiency in SQL and/or Python for data analysis and threat detection - Experience identifying emerging risks and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams - Experience working with generative AI products, including writing effective prompts for content review and enforcement Preferred qualifications - Experience in trust & safety, abuse investigations, cybersecurity investigations, or threat intelligence in a technology or AI company - Experience with large language models and an understanding of how AI technology could be misused for cyber operations - Experience operating within abuse monitoring programs or enforcement review systems - Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space - Experience working with government agencies, regulated environments, or information sharing communities The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 - $330,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Safeguards Enforcement Analyst, Age-Appropriate Design
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Safeguards Enforcement Analyst on the user well-being team, you'll build and execute enforcement workflows that keep our products safe, with a focus on detecting and mitigating potential harm. Your initial focus will be on how Anthropic handles age. A core part of this work is making sure our consumer products reach the right audiences, including the detection signals, verification paths, and appeals workflows that keep underage users off surfaces not designed for them. Claude also reaches younger users through third-party developers building on our API, and you'll be the enforcement partner that sales and platform teams rely on when those customers need guidance on deploying age-appropriately. This position may expand into broader areas of user well-being enforcement over time. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility across the Policy and Enforcement teams. Key responsibilities - Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy - Partner with Engineering and Data Science teams to optimize detection models for policy violations and automated enforcement systems - Review flagged content to drive enforcement and policy improvements - Enforce usage policies with a focus on detecting and mitigating potential harmful use of AI systems - Work with Legal, Public Policy, and Privacy stakeholders to keep our age assurance approach proportionate, privacy-preserving, and responsive to an evolving regulatory landscape - Support the Safeguards policy design team by providing detailed feedback on policy gaps based on real enforcement scenarios - Keep up to date with emerging AI policy enforcement best practices, and use these to inform our decision-making and workflows - Responsible for Anthropic's layered age assurance approach - self-declaration, behavioral signals, verification, and ban appeals - to keep our first-party consumer products safe - Adjacent user well-being enforcement where age is a key factor in how policy is applied such as sexual content and illicit substances Minimum qualifications - Experience in trust and safety, online child safety, age assurance, privacy, product policy, or a related field - Subject matter expertise in one or more of: age assurance or age verification systems, age-appropriate design, child online safety, privacy-preserving verification methods, or content classification for young people - Experience driving cross-functional initiatives with Product, Engineering, Legal, and Policy partners — especially where safety, privacy, and usability tradeoffs need to be navigated together - Experience navigating evolving regulatory landscapes and enforcement best practices with regards to age assurance (including frameworks like the UK AADC, COPPA, and the DSA), CSAM/CSEM, NCII, and digital well-being - A thoughtful perspective on the privacy/safety tradeoffs inherent in age verification — including when less invasive approaches are the right call - Strong written communication skills, with experience producing clear briefs and recommendations for technical and non-technical stakeholders - Comfort using data (SQL or similar tools) to measure what's working and inform decisions - Excellent judgment and the ability to collaborate with team members while navigating rapidly evolving priorities and workstreams Preferred qualifications - Experience building or operating age-gating flows, age estimation signals, underage account detection, or appeals workflows - Experience advising or partnering with third-party platforms on deploying safely to younger users - Experience working with or evaluating third-party age verification providers - A deep interest in AI safety and responsible technology development - Experience writing effective prompts for generative AI systems in a content review or enforcement context The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $245,000 - $285,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Field Engineer, Data Engine
Scale AI is seeking a highly skilled and motivated AI Data Engineer to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale’s government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows. You will: - Be open to >50% onsite work in a secured space. - Collaborate with cross-functional teams to define and execute the vision for data pipelines and agents. - Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back. - Deploy and maintain Scale software at customer sites. - Develop customer requested features and work closely with them to ensure that they win customer love. - Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions. - Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions. - This role will require at minimum an active Secret clearance and willingness to obtain a TS/SCI security clearance. Ideally you have: - Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles - Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles. - Prior experience developing with Python - Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus - Linux experience: Understanding of shell scripting, operating systems, etc - Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc) is a plus. - Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $190,000 - $290,000 USD The base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is: $170,000 - $260,000 USD The base salary range for this full-time position in the location of St. Louis is: $140,000 - $220,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Tech Lead, Finance & Supply Chain Engineering
ABOUT THE TEAM The Finance & Supply Chain Engineering organization includes two complementary teams. Software Engineering builds internal full-stack applications, durable agentic workflows, plugins, MCPs, and measurable AI-enabled engineering practices. Data Engineering builds trusted analytics data assets for Finance and Supply Chain. The teams have distinct charters, with important shared dependencies and broad cross team partnerships across Engineering, Applications, Finance, and Supply Chain. ABOUT THE ROLE We are looking for a hands-on senior technical leader who will report alongside the Software Engineering and Data Engineering managers. This is an individual-contributor role with no immediate people-management responsibility. The Tech Lead will raise the technical bar across both teams, participate in important cross-team or high-risk design decisions, and directly own and ship high-impact work. The role should improve team judgment and autonomy rather than act as a floating architect or universal approval gate. In this role, you will: - Partner with the Software Engineering and Data Engineering managers as a peer technical leader; managers retain accountability for people, staffing, priorities, performance, and delivery commitments. - Directly own the architecture, implementation, launch, and operation of one or more high-impact initiatives, remaining accountable for real outcomes rather than advisory output alone. - Guide important design decisions that are cross-team, difficult to reverse, or material to security, financial controls, reliability, data quality, or long-term cost of ownership. - Establish pragmatic engineering standards across architecture, APIs and data contracts, testing, security, reliability, observability, lineage, data quality, and operational ownership. - Advance engineering standards for building with AI, including agentic workflows, evaluation, telemetry, adoption, and outcome measurement. - Work across backend, full-stack, data, and big-data systems, making sound boundary decisions and bringing the right domain experts into the design. - Partner deeply with Engineering, Applications, Product, Finance, Supply Chain, Security, and other stakeholders to translate ambiguous needs into durable technical systems. - Raise the technical capability of both teams through design reviews, code reviews, mentoring, written guidance, and reusable reference implementations. - Protect team autonomy: focus involvement on consequential decisions, clarify principles and tradeoffs, and avoid becoming a required approver for routine or reversible work. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have significant professional engineering experience with sustained staff-level or equivalent impact as an individual contributor; prior people management is not required, but a plus. - Can reason across a full-stack application—from user experience and client architecture through backend services, integrations, authorization, and durable state. - Have strong data-engineering judgment across analytical modeling, batch or streaming pipelines, orchestration, lineage, quality, scale, and downstream data contracts. - Have personally designed, built, shipped, and operated consequential systems, and can go from architecture to implementation details without relying on positional authority. - Have led important technical decisions and cross-team initiatives through influence, clear reasoning, and trusted partnership. - Care deeply about correctness, security, data quality, auditability, operational excellence, and measurable outcomes. - Communicate clearly with engineers, managers, and non-technical partners; lead with context and principles rather than control. NICE TO HAVE: - Experience building internal products, developer platforms, workflow systems, or analytics platforms used across multiple teams. - Experience with LLM applications, durable agents, AI evaluations, plugins, MCPs, or measurement of AI-enabled engineering outcomes. - Experience in Finance, Supply Chain, accounting, procurement, ERP, or another domain where controls, reconciliation, and traceability matter. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Data Operations Manager, Human Data
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As Data Operations Manager, you'll build and scale data operations across research teams working on frontier AI capabilities. You'll partner with researchers to design and execute data strategies, manage vendor relationships, and own the entire data pipeline from requirements to production. This role requires operational excellence combined with technical depth to understand what makes high-quality training data, but your focus will be on strategy and execution. About the Impact The data operations you build will directly determine how well our models perform on critical capabilities—tool use accuracy, prompt injection robustness, long-horizon reasoning, and safety alignment. You'll work with world-class researchers advancing the frontier while building the operational infrastructure to scale these efforts. We're looking for someone who gets excited about the challenge of scaling quality across diverse research areas—someone who can understand nuanced technical requirements, build the right partnerships, and execute flawlessly. If you thrive at the intersection of operational excellence and cutting-edge AI research, we'd love to hear from you. Responsibilities: - Own and execute data strategy for research teams advancing frontier AI capabilities across RLHF, safety, tool use, and agentic workflows - Drive strategic vendor partnerships and build scalable frameworks for technical data collection at scale - Design and implement operational systems that translate research requirements into high-quality data pipelines - Build evaluation frameworks and quality standards that ensure data meets the bar for training state-of-the-art AI systems - Lead cross-functional initiatives to optimize research velocity while maintaining rigorous quality standards - Proactively identify risks, bottlenecks, and opportunities to improve efficiency and effectiveness across data operations - Partner with senior research leaders to align data operations with model development roadmaps and strategic priorities You may be a good fit if you: - Have 3+ years in operations, consulting, product management, or program management roles - Have exceptional project management skills with ability to handle multiple complex projects simultaneously - Have strong communication skills and can engage effectively with technical and non-technical stakeholders - Are familiar with how LLMs work or have strong interest in understanding AI training methodologies - Are highly organized and can navigate ambiguity effectively - Have experience with data analysis tools (SQL, Python, Tableau, spreadsheets, or similar) - Thrive in fast-paced research environments with shifting priorities - Are passionate about AI safety and understand the critical importance of high-quality data Strong candidates may also have: - Experience with data collection, labeling, or annotation operations for AI/ML systems - Knowledge of RLHF, constitutional AI, or human-in-the-loop workflows - Background working with research teams at AI companies or research-oriented organizations - Experience managing vendor relationships or external contractors - Consulting background with experience translating complex requirements into deliverables - Track record of implementing process improvements or quality control systems at scale The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 - $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Red Team Engineer, Safeguards
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Safeguards team is seeking a Red Team Engineer to help ensure the safety of our deployed AI systems and products. In this role, you'll take an adversarial approach to uncover vulnerabilities across our product ecosystem before they can be exploited by malicious actors. Your work will span from technical infrastructure vulnerabilities on our products to emergent risks from advanced AI capabilities. While you'll bring best practices from traditional security approaches, the focus is on broader safety implications and novel abuse unique to advanced AI systems and associated products. You'll investigate the full spectrum of potential abuse — from coordinated account manipulation and payment fraud to novel exploitation of product features — and simulate sophisticated threat actors who chain multiple attack vectors to achieve their objectives. Key responsibilities - Conduct comprehensive adversarial testing across Anthropic's product surfaces, developing creative attack scenarios that combine multiple exploitation techniques - Research and implement novel testing approaches for emerging capabilities, including agent systems, tool use, and new interaction paradigms - Design and execute "full kill chain" attacks that emulate real-world threat actors attempting to achieve specific malicious objectives - Build and maintain systematic testing methodologies that evaluate every aspect of our systems - Develop automated testing frameworks to enable continuous assessment at scale - Collaborate with Product, Engineering, and Policy teams to translate findings into concrete improvements - Help establish metrics for measuring detection effectiveness of novel abuse Minimum qualifications - Experience in penetration testing, red teaming, or application security - Experience in model jailbreaking and testing large-scale agentic workflows for non-obvious prompt injection vectors - Strong technical skills in web application security, including hands-on expertise with security testing tools (e.g., Burp Suite, Metasploit, custom scripting frameworks) - Experience building custom automation, including LLM-specific testing frameworks - A track record of discovering novel attack vectors and chaining vulnerabilities in creative ways - A public body of work such as CVEs, blog posts, or disclosed bug bounty reports - Strong written and verbal communication skills, with the ability to explain technical concepts to varied audiences Preferred qualifications - Experience with AI/ML security or adversarial machine learning - Understanding of AI safety considerations beyond traditional security, including modern guardrails against jailbreaks - Experience testing API security and rate-limiting systems - Background in testing business logic vulnerabilities and authorization bypass techniques - Background in anti-fraud, trust & safety, or abuse prevention systems - Familiarity with distributed systems and infrastructure security - Familiarity with abuse detection mechanisms and the ability to engineer novel bypasses - Adaptability to understand and build engagements around emerging threats outside your direct area of expertise The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Staff Software Engineer, Full Stack - Gen AI
Our Generative AI Data Engine powers the world’s most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. This is a horizontal, high-impact L6 Staff Fullstack Engineer & Architect position reporting directly to the Director of Contributor Engineering. Instead of being tied to a single domain, your scope is spread across all Contributor (CB) teams (including Allocation, Growth, Trust & Safety, Pay, and Allocations). Together, these teams power Scale’s AI data operations - from building high-impact datasets that push the boundaries of LLM capabilities, to optimizing contributor onboarding and incentives, to safeguarding data integrity through advanced trust, safety, and security measures. They work at the intersection of ML, operations, and analytics to ensure we deliver the highest-quality data at scale. You will act as an organizational architect and tech lead, dynamically embedding yourself into the highest-priority projects across the org to guarantee execution, unblock teams, and successfully ship mission-critical initiatives. Concurrently, you will lead the long-term technical evolution of our stack, transforming the core architecture to ensure it is highly sustainable, scalable, and fundamentally AI-native. You will: - Deploy flexibly into critical, fast-moving product initiatives across the CB organization - Lead the architectural overhaul of our platform infrastructure, making it highly sustainable, robust, and optimized for deep integration with LLMs and foundation models. - Lead architecture decisions for scalability, reliability, and performance - Mentor and uplevel engineers across the team - Partner with product and leadership to shape roadmap and priorities - Own large, ambiguous problem spaces end-to-end - Work across backend, frontend, and ML systems Ideally you'd have: - 7+ years of full-time engineering experience, post-graduation, with a proven track record of operating as a Tech Lead, Architect, or Principal Engineer. - Track record of shipping high-quality products and features at scale - Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies - Proficient in Javascript/Typescript, and SQL - Experience with Kubernetes - Experience with major cloud providers (AWS, Azure, GCP) Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $252,000 - $315,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Technical Assurance Lead
Scale is powering the generative AI wave by providing the data and infrastructure for companies to build large-scale foundation models. AI is rapidly changing the world, and Scale is growing to meet that rapid demand across global markets, including accelerating public sector and commercial business. Scale seeks a Technical Assurance Lead to drive assurance programs across Scale's public sector and commercial business. Reporting to the Head of Global Assurance, this is a hands-on individual contributor role with significant autonomy. Scale is looking for an experienced security and compliance professional to support Security Risk Management Assessment and Authorization (A&A) audit activities for Scale’s products. You will be part of the global GRC team and work across Public Sector, Enterprise, Security, Engineering, Product, and Legal to deliver region-specific authorizations, certifications, and customer assurance outcomes, with a focus on the US markets. We are looking for relentlessly curious, deliberately open-minded, and action-oriented generalists who can advise on internal policies, and operational processes while employing an empathetic interpersonal style. If you enjoy solving novel and challenging problems and building strong relationships while doing it, we’d love to hear from you! You Will - Lead public sector compliance programs (e.g., FedRAMP HIGH, DoD SRG IL4/IL5/IL6, NIST 800-53/800-171, CMMC, and RMF), owning controls mapping, gap analysis, evidence collection, ATO packages, and certification timelines, including coordination with 3PAOs and external assessors. - Oversee Security Risk Management A & A processes, including cloud system risk assessments, POAM development and tracking, vulnerability management, STIG implementation, and security configuration oversight. - Drive cross-functional control implementation by partnering with product, engineering, security, operations, legal, and people ops to deploy technical, administrative, and operational controls. - Set priorities and cadences for intake, evidence collection, remediation tracking, and deadline management, and reporting program health and risks to the Head of Global Assurance. - Manage external relationships with auditors, assessors, certification bodies, and regulatory counterparts to achieve and sustain compliance outcomes. - Maintain system security documentation and GRC tooling, including continuous updates to security documentation and uploading control evidence to eMASS or Xacta throughout the monitoring phase. - Lead compliance reviews for new products and features, and proactively advise the business on emerging certification programs, regulatory changes, and evolving requirements. - Maintain and expand Scale's certification portfolio, including SOC 2, ISO 27001, ISO 42001, and ISO 9001, working with the global GRC team on renewals and new certifications. - Support customer and stakeholder assurance activities, including security questionnaires, due diligence responses, compliance input to bids, and customer-facing assurance discussions. You’ll Have - An active US Top Secret security clearance with minimum IAT Level 2 certification (Security +, CASP, or similar). Ideally, You’d Have - 7+ years of experience in security compliance, technology audit, GRC, cloud security, or related roles, with meaningful exposure to the public sector markets. - Experience implementing and maintaining some of the following frameworks and standards: FedRAMP, DoD Cloud Computing SRG, NIST 800-171, NIST 800-53, CMMC, NIST 800-53. - Deep familiarity with one or more of: STIG/RMF policy knowledge & implementation, including validating compliance via ACAS and other relevant tests, ISO 27001, ISO 9001, ISO 42001, SOC 2, or equivalent frameworks. - Experience in project management and taking projects from conception to launch. - An ability to translate between business and technical risk and communicate clearly to leadership. - Experience managing controls mapping, evidence collection, remediation tracking, and audit coordination across distributed engineering and infrastructure teams. - Experience with cloud environments (one or more of: AWS, Azure, GCP) and the ability to assess cloud architecture against compliance requirements. - Strong communication skills, sound judgment on escalation, and the ability to operate autonomously while maintaining alignment with a global program. Nice to Have - Bachelor’s degree in accounting, information systems, computer science, or a related field. - Relevant certifications such as CISSP, CISM, CISA, ISO 27001 Lead Auditor, ISO 42001 Internal Auditor, or CCSP. - Experience at a high-growth technology company. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Research Associate, Assay Operations (Contractor)
Your work will change lives. Including your own. The Impact You’ll Make Your work as part of our High Throughput Screening (HTS) team will significantly increase the speed of our drug discovery platform and help achieve our mission of decoding biology to radically improve lives. As a Research Associate, you will play a critical role in identifying drug candidates by delivering consistent, high-quality multi-omics and high-content screening data. This data supports critical decision-making for internal research programs and external partnerships. In This Role, You Will: - Execute High-Throughput Experiments: Conduct hundreds of high-content screens per year using basic molecular biology techniques and automated laboratory instrumentation in 384- and 1536-well microplates. - Prioritize Production: Execute production-focused assay work as your highest priority, ensuring full adherence to established SOPs, quality standards, and safety requirements. - Maintain Lab Excellence: Perform equipment maintenance, QC validations, reagent preparation, and monitor experiments to ensure operational sustainability. - Drive Continuous Improvement: Participate in projects aimed at improving laboratory performance, increasing throughput, and reducing "toil" through automation and process optimization. - Communicate Proactively: Take ownership of assigned work and proactively communicate assay status, risks, and delays to stakeholders. - Collaborate and Develop: Participate in cross-training efforts to increase team flexibility and expand your own technical skills in the multi-omics space. The Team You’ll Join You will join a high-performing, mission-focused group in our high-throughput screening platform. This is a dynamic team that is tenacious in problem-solving and rigorous in challenging the status quo, while maintaining an incredibly supportive and collaborative environment. The Experience You’ll Need - Education: A Bachelor’s degree or similar in a biological field. - Technical Skills: Proficiency in molecular biology concepts and experience with automated, computer-controlled laboratory instrumentation. - Computational Comfort: Familiarity with computational tools to leverage efficiency. - Mindset: The ability to think on your feet, knowing when to ask for help and when to figure things out independently. - Culture Fit: A passion for working in a fast-paced environment where you can leverage creativity and independent thinking. Nice-to-Haves - Automation Experience: Experience working with and maintaining liquid handlers like Agilent BioTek EL406s, Beckman Coulter Echo Liquid Handlers, and Hamilton Microlab STAR Liquid Handlers. - Coding Experience: Familiarity with coding, particularly with Python. This is a 6-month contractor role with working hours from 8:00am to 6:00pm, Wednesday through Saturday The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com , or connect on X and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
Order Management & Billing, Ads
About the Team OpenAI Finance ensures the organization is positioned for long-term success as we pursue our mission. The Order to Cash (OTC) team oversees the complete flow of commercial transactions from order intake and provisioning through billing, collections, and cash application — ensuring accuracy, compliance, and operational excellence in support of OpenAI’s mission to ensure artificial general intelligence benefits all of humanity. About the Role We are looking for a strategic and hands-on operator to help build and scale the operational backbone supporting OpenAI's Ads monetization business. This role will own operational readiness and execution across the Ads Order-to-Cash lifecycle, ensuring scalable billing operations, financial accuracy, and strong operational controls. As Ads offerings and monetization capabilities continue to evolve, you will partner across Product, Engineering, Revenue Systems, Finance, GTM, Deal Desk, and Legal to operationalize new monetization capabilities while ensuring billing integrity, operational excellence, and audit readiness. You'll combine operational leadership, process design, systems thinking, and automation to build scalable processes that support one of OpenAI's fastest-growing revenue streams. This role is based in San Francisco, CA. We use a hybrid work model of 3 days per week in the office and offer relocation assistance. In this role, you will: - Own operational readiness for new Ads monetization launches, including testing, billing validation, reconciliation, go-live execution, and post-launch hypercare. - Design and scale operational processes supporting Ads billing, campaign monetization, credits, coupons, pricing changes, adjustments, and invoice generation. - Partner closely with Ads Product, Engineering, Revenue Systems, GTM, Deal Desk, Finance, and Legal to operationalize new monetization capabilities while ensuring downstream billing and revenue processes remain accurate. - Build scalable operational workflows supporting high-volume Ads transactions while maintaining strong financial controls and operational excellence. - Scale execution through BPO and global operations teams by developing SOPs, playbooks, training programs, quality frameworks, and governance models. - Drive automation and AI-enabled workflows that reduce manual work, improve operational efficiency, detect billing anomalies, and proactively identify revenue-impacting issues. - Establish operational controls, approval frameworks, audit trails, and segregation of duties supporting SOX compliance and financial reporting requirements. - Ensure billing completeness and financial accuracy during month-end close through reconciliations across campaign delivery, pricing, usage, invoicing, credits, and revenue systems. - Partner with Analytics and Engineering to build KPIs and operational dashboards measuring billing accuracy, invoice quality, automation rates, operational throughput, customer escalations, and launch readiness. - Identify process improvement opportunities across the Ads Order-to-Cash lifecycle and help define the long-term operating model supporting global scale. - Develop operational documentation, runbooks, enablement materials, and governance processes that enable consistent execution as the Ads business continues to grow. You might thrive in this role if you have: - 7+ years of experience in Ads Operations, Monetization Operations, Billing Operations, Revenue Operations, or Order-to-Cash within a high-growth technology company. - Experience supporting digital advertising platforms, marketplace businesses, usage-based billing, or other high-volume transaction environments. - Strong understanding of Ads monetization models including CPM, CPC, CPA, credits, promotional programs, discounts, and usage-based pricing. - Hands-on experience with enterprise business systems such as Salesforce, CPQ, Oracle Fusion, NetSuite, Stripe, Metronome, or similar billing and ERP platforms. - Experience partnering closely with Product and Engineering teams to operationalize new monetization capabilities and system launches. - Deep understanding of operational controls, reconciliations, month-end close, audit readiness, and SOX compliance. - Demonstrated success leading automation initiatives and leveraging AI to improve operational efficiency and reduce manual work. - Strong analytical and problem-solving skills with the ability to investigate complex billing and monetization issues across multiple systems. - Exceptional communication and stakeholder management skills with experience driving alignment across Product, Engineering, Finance, Revenue, and GTM organizations. - Experience building scalable global operating models leveraging BPO, offshore teams, and standardized operational processes. - Ability to thrive in a fast-moving environment with evolving products, changing priorities, and significant ambiguity. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Account Executive - Italy - Mid-Market
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We’re looking for a highly motivated, self-starter Account Executive who is passionate about voice technology and how it is changing businesses. We don’t just sell a product or custom-level solutions; we are partnering with organizations to help them generate new experiences and monetization opportunities at scale with our breakthrough voice technology. In this role you will: 1. Build and manage a growing portfolio of new accounts across industries adopting conversational AI to help ElevenLabs meet its revenue goals 2. Identify new business opportunities where ElevenLabs’ conversational AI capabilities can drive user engagement, automation, or cost efficiency 3. Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends 4. Demonstrate expertise—or a strong willingness to learn—about conversational AI and how ElevenLabs’ voice technology can unlock value across customer support, virtual agents, in-app assistants, and more REQUIREMENTS - 4–6 years of sales experience in a SaaS or technology company, ideally with exposure to AI, generative AI, LLM-based products, or API platforms - Experience selling technical solutions to product, engineering, or innovation teams is a strong plus - Proven track record of meeting & exceeding sales targets in a fast-paced environment - Expertise or willingness to learn everything about voice and audio AI and how our solutions can help prospects - Excellent communication and interpersonal skills, with the ability to build and maintain relationships with stakeholders at all levels of an organization - A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale - Fluency in Italian is essential, with additional fluency in Spanish highly desirable LOCATION This role is remote across Europe but if you prefer, you can work from our offices in London, Dublin or Paris. #LI-remote
Threat Intel Manager, Model Exploitation & Fraud
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a threat intel manager to build and run our Model Exploitation & Fraud team within Threat Intelligence. This team detects, investigates, and disrupts the large-scale exploitation of Anthropic's AI systems. Model distillation, unauthorized access, account farming and reseller abuse, and fraud and scam operations. You will set the strategy for the mission area, hire and lead a small team of technical investigators, and build the systems, processes, and partnerships that let the team scale. The team includes established senior investigators who own our deepest technical casework, tracing distillation networks, reseller and proxy ecosystems, and financially motivated actors across first-party surfaces and third-party platforms; your job is to direct, resource, and amplify that work, not duplicate it. This area carries regular U.S. government engagement and requires deeply understanding external black market ecosystems and how they interact with our systems. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Key responsibilities - Own strategy, priorities, and outcomes for the Model Exploitation & Fraud mission area; define what we detect, investigate, action, and share - Hire, manage, and develop a team of technical threat investigators; set the quality bar for casework and intelligence reporting - Design clear lanes between this role and the team's senior individual contributors: strategy, people leadership, and program ownership sit with you, while ownership of the deepest technical investigations and tradecraft stays with the senior experts closest to the work - Capable of independently leading complex investigations. - Direct, prioritize, and resource complex investigations into model distillation, unauthorized AI R&D usage, unauthorized access, coordinated account abuse, and fraud/scam networks, partnering with the senior investigators who lead the deepest technical casework and clearing blockers from their path - Drive the redesign of triage for a very high-volume detection pipeline: partner with investigators and engineering to build abuse signals, clustering, and agentic investigation workflows that separate sophisticated actors from noise - Expand the team's coverage into fraud and scams, building the detection and investigation playbooks from the ground up - Own the external engagement program for the area, including regular intelligence sharing with U.S. government partners and industry peers, ensuring the investigators driving the work are visible in those channels - Anticipate how resellers, proxies, and third-party platforms change the abuse surface, and shape coverage accordingly - Work with policy, enforcement, and engineering to convert findings into bans, product mitigations, and safety-by-design improvements - Define and report the team's metrics; brief Safeguards and company leadership on the threat landscape Minimum qualifications - Have led and managed investigative, fraud, platform integrity, or threat intelligence teams, ideally ones built around senior, deeply specialized individual contributors - Have strong domain fluency in scaled abuse — fraud patterns, account abuse, unauthorized access, or platform exploitation economics — sufficient to set priorities, pressure-test findings, and earn the confidence of expert investigators - Are proficient enough in SQL and Python to review data-heavy casework, pressure-test conclusions, and provide surge capacity when the team needs it - Have experience overseeing investigations that track threat actors across surface, deep, and dark web environments, including reseller and access-broker communities - Have working familiarity with large language models and a strong grasp of how models can be distilled, extracted, or exploited at scale - Have built processes, detection systems, or programs from scratch and can show what changed because of them - Communicate crisply with executives, engineers, and external partners alike Preferred qualifications - Experience at a major technology platform on trust and safety, fraud, or abuse investigations at scale - Background in financial crime investigation or fraud analytics - Experience working directly with U.S. government stakeholders on threat reporting - A track record of partnering with, growing, and retaining senior technical specialists, including defining clear scope between management and senior IC tracks - Fluency in Mandarin Chinese and/or Russian with nuanced regional and geopolitical context - Active Top Secret security clearance The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $375,000 - $455,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
GTM Enablement - APAC
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE ElevenLabs is scaling rapidly across APAC. India is our most established market, Australia has grown substantially, and we are building presence across Singapore, Japan, South Korea, China, and New Zealand. Today, enablement coverage exists in the Americas and EMEA but not APAC. You will be our first enablement hire in the region, owning everything from program architecture to live delivery to market-specific localization. This is a builder role. You will inherit strong global programs and infrastructure, but everything regional starts with you. WHAT YOU WILL DO Own full-stack enablement for APAC. Scope regional needs, design program architecture, build e-learning, deliver live training, and measure impact against ramp time, discovery quality, and win rates. Run biweekly onboarding. Deliver 5 to 6 live sessions per cohort, every two weeks, for new sellers across India, ANZ, Singapore, Japan, South Korea, and China. Continuously improve the curriculum based on cohort feedback and ramp data. Localize global content for APAC markets. Adapt sales decks, one-pagers, talk tracks, and competitive materials for each market. Partner with local AEs and leaders to ensure messaging lands with regional buying committees, procurement norms, and cultural expectations. Orchestrate translation and localization vendors where needed. Be the technical translator. Explain how our voice models and Agents platform work, credibly, to sellers and in customer-facing content. You do not need to be an engineer, but you need to be fluent in how the product works and why it wins. Collaborate with the Partner Enablement Lead. Roll out partner certification and enablement programs across APAC. Localize partner-facing curricula, support regional partner onboarding, and ensure channel sellers have the same product fluency as direct teams. Operate as part of a global team. Collaborate with enablement counterparts in the Americas and EMEA, contribute to global programs, and join the weekly team sync at 4pm CEST at least once per week. WHAT WE ARE LOOKING FOR - 8 to 12 years in GTM roles, with 4 to 6 years in sales enablement (or a technical selling role such as solutions engineering with a transition into enablement) - Experience as an early or first enablement hire for APAC at a US or European software company scaling into the region - Track record building enablement programs from zero: onboarding, ongoing skill development, e-learning, and measurement frameworks - Demonstrated ability to localize HQ-produced content for multiple APAC markets, working through local sellers and vendors rather than translating everything personally - Strong live facilitation skills and the stamina for a recurring, high-frequency delivery cadence - Technical aptitude: comfortable explaining APIs, model behavior, latency, and integration concepts to a sales audience - Experience at API-first or technical product companies strongly preferred (Twilio, Datadog, MongoDB, Snowflake, Stripe, Confluent, Zoom, or similar) - Business fluency in English required; Japanese, Mandarin, or Korean a strong plus - Based in APAC with reliable ability to join a 2pm or 3pm BST team call weekly WHAT SETS YOU APART - You have run distributed onboarding across 5+ timezones and know how to balance live and async delivery - You have sold or enabled sellers on a developer-facing or usage-based product - You have built measurement systems that tie enablement to pipeline and win-rate outcomes, not just completion rates - You have enabled or onboarded channel partners, not just direct sellers. - You have direct operating experience in two or more of: India, ANZ, Japan, Korea, North Asia, Southeast Asia
AI Deployment Engineer, Enterprise
About the Team OpenAI’s AI Deployment Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Enterprise AI Deployment Engineer, you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in our SF or NYC office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. - Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes. - Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators. - Make sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance. - Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution. - Help customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact. - Partner closely with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams, translating deployment experience into high-signal product feedback. - Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments. You’ll thrive in this role if you: - Have a demonstrated track record of designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production. Relevant backgrounds may include applied AI or ML engineering, forward-deployed engineering, software engineering, customer engineering, solutions architecture, or technical consulting. - Can point to substantial personal contributions in code, architecture, evaluation, debugging, or production engineering—not only program or stakeholder management. - Are highly proficient in Python and comfortable working across an AI application stack; experience with JavaScript, TypeScript, or another relevant language is valuable. - Understand how to evaluate AI systems systematically using representative data, graders, production signals, and human judgment. - Have navigated enterprise production requirements such as integrations, reliability, observability, security, privacy, data governance, performance, and cost. - Can connect technical decisions to customer workflows, adoption, and measurable business outcomes. - Communicate with clarity and credibility across hands-on engineers, technical leaders, security teams, product leaders, and executives. - Bring high agency, strong technical judgment, and end-to-end ownership in ambiguous environments. - Learn quickly, challenge assumptions constructively, and collaborate with humility; experience in a particular industry or with OpenAI products is not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
AI Deployment Engineer, Cyber
About the Team The AI Deployment Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the Role We are looking for a Cyber AI Deployment Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our San Francisco HQ. We offer relocation support to new employees. In this role, you will: - Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workflows, serving as a trusted partner to both security executives and technical practitioners. - Lead discovery across AppSec, DevSecOps, vulnerability management, SOC/IR, detection engineering, red team, cloud security, identity, and GRC automation use cases. - Build and deliver customer-facing demos, prototypes, workshops, proofs of concept, and reference architectures using OpenAI APIs, Codex, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, scanners, and common security tools. - Scope pilots with clear success criteria, data requirements, workflow integrations, evaluation methods, security constraints, safety boundaries, and human approval points. - Advise customers on safe implementation patterns, including tool and function calling, structured outputs, retrieval, sandboxing, data handling, guardrails, telemetry, auditability, and approval-gated side effects. - Translate between CISO-level outcomes and practitioner-level implementation details so each audience understands value, risk, and practical next steps. - Create reusable field assets such as demo narratives, playbooks, FAQs, objection handling, qualification guides, assessment templates, and competitive positioning. - Validate, synthesize, and deliver high-signal feedback to Product, Engineering, Research, Security, and GTM teams based on recurring customer requirements, blockers, product gaps, and emerging cyber workflows. You might thrive in this role if you: - Have 5+ years of technical consulting, solutions engineering, security architecture, cyber advisory, deployment engineering, professional services, or equivalent customer-facing technical experience. - Bring strong cybersecurity domain expertise across one or more areas such as application security, cloud security, identity, vulnerability management, secure SDLC, incident response, detection engineering, threat intelligence, red teaming, or security architecture. - Can communicate credibly with CISOs, CTOs, security executives, engineering leaders, and highly technical security practitioners. - Have hands-on experience building prototypes or production systems with APIs, Python or JavaScript, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, scanners, or other common security tooling. - Understand how to design AI workflows with retrieval, structured outputs, tool use, evals, guardrails, telemetry, sandboxing, and human-in-the-loop review. - Are comfortable scoping pilots from ambiguous customer pain, including success metrics, required data, workflow integrations, evaluation criteria, deployment assumptions, and decision gates. - Have evidence-first security judgment: you validate findings, separate true positives from noise, document assumptions, and avoid overstating model or security claims. - Own problems end-to-end, operate with high throughput across multiple concurrent customer projects, and know when to stay hands-on versus create reusable leverage for the broader field. - Have a humble attitude, an eagerness to help colleagues, and a desire to do whatever it takes to make the team and our customers successful. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Research Associate, Biology
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the team Anthropic's Life Sciences team is building a world-class research group focused on making fundamental biological discoveries. The team combines cutting-edge AI with hands-on biological research, positioning Anthropic at the forefront of AI-accelerated scientific discovery. About the role We are hiring Research Associates: early-career bench scientists who will join a small team to help establish our biology research program. You'll work directly alongside senior scientists, executing and troubleshooting experiments at the bench while learning advanced techniques in a fast-moving, highly collaborative environment. We value curiosity, careful hands, and the willingness to take ownership of a result. Our scientists are eager to teach; we're hiring for motivation and trajectory as much as for existing skill. This is a fully hands-on bench role — while familiarity with computational biology and bioinformatics is welcome, the role does not involve AI/ML model development. Key responsibilities - Execute molecular biology and biochemistry experiments at the bench under the direction of senior scientists - Maintain meticulous, reproducible records and contribute to shared protocols - Troubleshoot experiments, propose adjustments, and present results clearly in group meetings - Maintain mammalian and bacterial cell lines, materials stocks, and reagent inventories - Learn and adopt new techniques rapidly as projects evolve, with training provided Minimum qualifications - Have hands-on research experience in molecular biology, biochemistry, or a closely related field - Are proficient with foundational molecular biology techniques: PCR, gel electrophoresis, molecular cloning, and plasmid preparation - Have experience with aseptic technique and bacterial or mammalian cell culture, and with nucleic acid extraction, purification, and quantification - Follow, document, and adapt experimental protocols with care and precision - Are highly motivated, eager to learn, and energized by hands-on bench work - Are practical and resourceful — you'd rather find a way through than a reason it can't be done - Listen carefully, take feedback well, ask good questions, and are comfortable when priorities shift quickly - Are excited to use AI models as a tool at the bench to plan experiments, interpret data, and decide what to try next Preferred qualifications - A BS or MS in molecular biology, biochemistry, chemical biology, microbiology, bioengineering, or a related discipline - Protein expression and purification experience (e.g., affinity, SEC, IEX) - Mammalian cell culture experience, including transfection and stable line maintenance - Enzyme kinetics or quantitative biochemical assay development (fluorescence, absorbance, FRET) - Next-generation sequencing library preparation experience - Familiarity with common bioinformatics workflows and molecular biology software (e.g., sequence analysis, alignment, primer and construct design) - Experience using AI tools such as Claude in a research setting — for literature review, protocol drafting, data interpretation, or experimental troubleshooting This is a rare opportunity to help define how a frontier AI company does biology. You'll learn quickly, work closely with people who want to teach, and see your results feed directly into how the most capable AI models are evaluated and improved. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $65,000 - $85,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Threat Intel Manager, CBRN-E & Advanced Weapons
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a threat intel manager to build and run our CBRN-E & Advanced Weapons team within Threat Intelligence. This team detects, investigates, and disrupts attempts to misuse Anthropic's AI systems for chemical, biological, radiological, nuclear, and explosives threats and for the development of advanced or novel weapons. You will mature this from a promising start into a rigorous program, hiring investigators with real CBRN-E, weaponization, and counterproliferation expertise, sharpening detection beyond broad harm screens into threat-specific capabilities, and personally leading the cases where scientific judgment determines whether we're seeing curiosity, legitimate research, or a genuine weapons-development attempt. The area carries significant engagement with government, biosecurity, and scientific stakeholders. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Key responsibilities - Own strategy, priorities, and outcomes for the CBRN-E & Advanced Weapons mission area; mature it from an emerging function into a rigorous investigative program - Hire, manage, and develop a team of investigators with deep domain expertise across biological, chemical, and weapons-development threat areas - Personally lead investigations into attempts to use our systems to develop, enhance, or disseminate CBRN-E weapons, or advanced weapons capabilities - Evolve detection from broad harm screens toward CBRN-specific signals and methodologies tailored to dual-use research concerns, in partnership with our collections engineers - Set the analytic quality bar: cross-platform threat analysis grounded in real threat actor behavior, open-source research, and publicly reported weapons programs - Own escalation and enforcement decisions with policy and enforcement teams for the highest-severity misuse category we handle - Lead external engagement with government agencies, biosecurity and chemical-security research communities, and scientific organizations - Inform safety-by-design and capability-evaluation strategies by forecasting how threat actors will leverage frontier AI for CBRN-E purposes - Serve as a liaison to government partners, educating stakeholders on AI-enabled threats through regular reporting and briefings. Minimum qualifications - Are an intelligence analyst, policy expert, or researcher with deep domain expertise in biosecurity, chemical defense, weapons non-proliferation, dual-use research of concern (DURC), or related CBRN-E threat domains - Have led investigative or analytic teams and are a senior domain expert with demonstrated mentorship and program-building experience ready to lead - Have experience with threat actor profiling,threat intelligence analysis frameworks, and collection frameworks - Have hands-on experience with large language models and how AI could be misused for CBRN-E threats - Have excellent stakeholder management skills across researchers, policy experts, legal teams, government, and external partners - Can present analytical work to technical and non-technical audiences, including government stakeholders and senior leadership Preferred qualifications - Advanced degree (MS or PhD) in biological sciences, chemistry, biodefense, biosecurity, or a related field - Real-world experience countering weapons of mass destruction or other high-risk asymmetric threats in the intelligence community or defense organizations - Experience working with government agencies, defense/national security organizations, or in regulated environments handling sensitive CBRN-E programs, counterproliferation and threat analysis. - Background in AI safety, machine learning security, or technology abuse investigation - Experience building and scaling threat detection systems or abuse monitoring programs - Active Top Secret security clearance The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $375,000 - $455,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Staff Software Engineer, Labs: Applied AI
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role At Anthropic, we're building AI systems that are safe, beneficial, and transformative. Our mission is to develop AI that benefits humanity, and we believe the most powerful capabilities emerge when we thoughtfully bridge the gap between research breakthroughs and real-world applications. Applied AI is one of the newest explorations within Anthropic Labs, the internal accelerator behind Claude Code, MCP, and Claude Design. Most of the world's work happens far from a code editor, and the people doing it have barely begun to feel what frontier AI can do. We believe Claude has a transformative role to play here — and we're at the earliest stage of exploring what that could look like. The engineers who join now will define where it goes. We're looking for versatile, entrepreneurial engineers who are energized by building for users unlike themselves. In this role, you'll take frontier AI capabilities and turn them into applications that professionals in less software-native roles can pick up and trust — rapidly building and testing new experiences, partnering directly with researchers, domain experts, and users, and generating the insights that shape where this exploration goes next. You'll need to be comfortable with ambiguity, willing to kill your own projects when the data says to, and energized by the pace of building in uncharted territory. Responsibilities - Rapidly prototype full-stack applications that bring frontier AI into workflows that have never been software-first, shipping early and often to maximize learning - Immerse yourself in unfamiliar domains: sit with users, learn how their work actually gets done, and encode that understanding into products, evaluations, and workflows - Collaborate closely with research teams to understand new model capabilities and translate them into tools that non-technical professionals reach for first - Work directly with internal teams and external partners across industries to gather feedback, iterate quickly, and validate (or invalidate) product concepts - Design and run structured experiments to test hypotheses, balancing creative exploration with rigorous evaluation - Generate documentation and insights to guide successful prototypes toward full product teams - Provide feedback to research teams about model effectiveness in real-world, domain-heavy settings and where capabilities can improve - Flexibly contribute across Labs initiatives based on organizational priorities and emerging opportunities — context from one project should inform the next You may be a good fit if you - Have 8+ years of experience building full-stack applications, with a track record of zero-to-one work in startup or startup-like environments - Are deeply curious about how other industries work, and enjoy translating messy, real-world workflows into simple software - Thrive in ambiguity and are energized (not anxious) by uncertainty — you're comfortable working on projects that might not exist in three months - Have a hacker mentality: high agency, bias toward shipping, comfort with technical debt when it's the right tradeoff - Are deeply user-centric — you validate ideas with actual users before over-investing and talk about problems before solutions - Can articulate learnings from failed or killed projects without defensiveness; you treat your work as experiments - Hold strong opinions loosely — you advocate forcefully for ideas but change your mind based on evidence - Are a generalist who can transition between different problem spaces as priorities shift - Work independently with good judgment about what matters, without needing constant direction - Communicate effectively and can make complex AI capabilities feel intuitive to people who don't think in software - Care about the societal impacts and ethics of your work Strong candidates may also have - Experience building products for industries outside of tech — e.g., healthcare, manufacturing, logistics, construction, energy, agriculture, financial services, education, or the public sector - A previous career, or deep hands-on exposure, in a field outside of software — you've been the user these products serve - Background conducting embedded or field-based discovery: user research, interviews, ride-alongs, and usability testing with frontline professionals - Experience integrating with the systems these industries actually run on (ERPs, EHRs, CRMs, dispatch, scheduling, or point-of-sale systems) - Experience shipping software or AI applications to non-technical or frontline users — you know how to design for people who will never read documentation, and you measure success by real-world adoption rather than technical elegance - Hands-on applied AI experience — you've built and deployed products powered by AI/ML or large language models - Experience collaborating directly with research teams in AI/ML environments Candidates need not have - 100% of the skills listed above - Formal certifications or education credentials - Direct machine learning or AI research experience The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Senior Software Engineer, Identity
Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Identity Engineering team. In this role, you will help support the design and development of core software systems specifically focused on identity, access management, authorization, and authentication. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: - Drive the design, and implementation of our identity infrastructure to ensure secure authentication and authorization across enterprise systems. - Build software for authentication mechanisms such as Single Sign-On (SSO), Multi-Factor Authentication (MFA), and federated identity solutions (SAML, OAuth, OpenID Connect). - Build software for authorization mechanisms such as Relation-based access control (ReBAC), Attribute-based access control (ABAC), Role-based access control (RBAC). - Build software-defined identity governance policies to ensure compliance with security policies, industry regulations (e.g., NIST, SOC2, ISO 27001), and organizational standards. - Present technical information to teams and stakeholders, providing guidance and insight on identity management and best practices. Ideally you’d have: - 5+ years of full-time engineering experience, post-graduation with specialities in infrastructure and identity systems. - Infrastructure expertise – IAM controls, Infrastructure as Code (Terraform, Pulumi), microservice deployment best practices. - Hands-on experience working with OpenFGA, Authzed, Cedar, Topaz, or similar authorization frameworks at scale. - Strong understanding of Zanzibar-based ReBAC models, relationship tuples, and access control evaluation. - Strong knowledge of authentication standards such as OAuth 2.0, OIDC, SAML, and JWT, as well as industry standard IdP solutions like EntraID, Okta, etc. - Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred). - Show a track record of independent ownership of successful engineering projects. - Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders. Nice to haves: - Experience securing API access and implementing access control mechanisms at the application level. - Multi-cloud infrastructure experience – AWS, Azure, GCP, and more. - Proficiency in integrating IAM solutions with applications built using frameworks such as Java, Python, Node.js, or .NET. - Mentorship/leadership experience supporting junior engineers Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $216,000 - $270,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Research Scientist, Life Sciences (Experimental Biology)
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the team Anthropic's Life Sciences team is building a world-class research group focused on making fundamental biological discoveries. The team combines cutting-edge AI with hands-on biological research, positioning Anthropic at the forefront of AI-accelerated scientific discovery. About the role We're seeking an exceptional Research Scientist to join the team. As a founding member of Life Sciences, you'll work in a high-impact group that operates at the intersection of computational and experimental biology. You'll help establish Anthropic as a leader in biology research while developing product intuition through direct engagement with the challenges and opportunities of laboratory science. Key responsibilities - Design, execute, and iterate on the experimental programs at the core of the team's research: molecular biology, biochemistry, protein and nucleic acid characterization, high-throughput functional screens, and the assay development that makes new questions answerable - Partner directly with computational biologists to design experiments that produce high-quality, analysis-ready data, and feed results back fast enough to immediately inform the next round of analysis - Generate and prioritize hypotheses by combining your experimental judgment with the literature, curated biological knowledge bases, and the team's computational predictions - Use Claude and our internal agent frameworks heavily in your own work — for experimental planning, protocol development, and data interpretation — and feed what you learn back to the model-improvement and product teams as evaluations, datasets, and concrete failure cases Minimum qualifications - Have a Ph.D. in a biological science (molecular biology, biochemistry, bioengineering, computational biology) or a related field - Have a track record of bridging biological domain knowledge with computational approaches to solve real scientific problems - Have basic proficiency in Python and are familiar with ML development practices Preferred qualifications - Are comfortable navigating ambiguity and developing solutions in rapidly evolving research environments - Can work independently while maintaining strong collaboration with cross-functional teams - Are results-oriented, with a bias towards flexibility and impact - Thrive in a fast-paced research environment where you balance rigorous scientific standards with rapid iteration - Published research or practical experience in scientific AI applications - Familiarity with modern machine learning techniques and model training methodologies - Familiarity with biological databases (UniProt, GenBank, PDB) and computational biology tools This role offers a unique opportunity to shape how AI transforms biological research. You'll work with some of the world's best AI researchers while tackling problems that matter deeply for human health and scientific understanding. If you're excited about using your expertise to make fundamental biological discoveries and guide the development of transformative AI systems, we want to hear from you. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Product Management, Research
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Product Manager for the Research team at Anthropic, you will own the ideation and deployment of new models and products as we advance frontier, safe AI technology. You will work closely with our research teams to help productize credible applied research and identify high-potential use cases grounded in customer needs. We are looking for someone passionate about developing safe and beneficial artificial intelligence technologies. You thrive in ambiguous environments and can uncover latent, non-obvious use cases for nascent technologies, bringing these insights back to research. Your curiosity about user needs enables you to connect advanced technology to products that deliver real-world value. We seek experienced founders and product managers who can bridge research and ambitious product experimentation, with the ability to create and grow entirely new product categories enabled by AI. Responsibilities: - Lead vision, strategy, roadmap, and execution of frontier technologies that leverage the latest AI capabilities to solve real-world problems - Partner with research to define, improve, and ship model capabilities within a research area - Identify nascent research that could become transformative products - Synthesize user insights into actionable requirements and evaluations - Understand the AI landscape and ecosystem, ensuring we have an objective view of market capabilities and our position - Work with and influence a diverse set of stakeholders, including research, product engineering, and platform engineering teams You might be a good fit if you: - Have a deep passion and curiosity for AI and LLMs. Use AI regularly. - Have 5+ years in product management, with experience launching new products and scaling existing ones (founder background is a plus) - Are a first-principles thinker with the ability to navigate and execute amidst ambiguity, flexing into different domains based on the business problem at hand and finding simple, easy-to-understand solutions - Possess a deep technical background with a strong grasp of AI/ML concepts and are willing to go deep on technical solutions; have a data-driven mindset with working proficiency in Python and SQL - Have strong user empathy and the ability to synthesize vague or contradictory feedback into actionable priorities - Have a track record of launching ambitious products that have achieved distribution or commercial success - Have intellectual curiosity without ego—comfortable asking questions and learning independently - Think creatively about the risks and benefits of new technologies, moving beyond past checklists and playbooks - Have a creative, hacker spirit and love solving puzzles The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Sr Staff ML Forward Deployed Engineer, Enterprise GenAI
Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will: - Own large new areas within our product - Work across backend, frontend, and interacting with LLMs and ML models - Deliver experiments at a high velocity and level of quality to engage our customers - Work across the entire product lifecycle from conceptualization through production - Be able, and willing, to multi-task and learn new technologies quickly Ideally you'd have: - 7+ years of full-time engineering experience, post-graduation - Experience scaling products at hyper growth startups - Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies - Proficient in Python or Javascript/Typescript, and SQL - Experience with Kubernetes - Experience with major cloud providers (AWS, Azure, GCP) PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Software Engineer, Gen AI
About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world’s most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. Our Approach As part of the interview process, you’ll be considered for opportunities across several teams within the GenAI Engineering organization, based on your interests, expertise, and business needs. Potential team placements include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. Together, these teams power Scale’s AI data operations - from building high-impact datasets that push the boundaries of LLM capabilities, to optimizing contributor onboarding and incentives, to safeguarding data integrity through advanced trust, safety, and security measures. They work at the intersection of ML, operations, and analytics to ensure we deliver the highest-quality data at scale. Responsibilities: - Design and implement features end-to-end across front-end, back-end, and infrastructure - Build features end-to-end using technologies like TypeScript, MongoDB, and Elasticsearch, and contribute to our compute orchestration layer powered by Temporal - Own high-impact technical systems that are critical to Scale’s revenue delivery - Build and iterate on complex systems that scale to millions of tasks per week - Collaborate with model teams, Forward Deployed Engineers, and cross-functional stakeholders - Help shape the engineering culture, values, and best practices of a fast-growing team Requirements: - 3+ years of relevant software engineering experience - Track record of building and shipping products at scale - Ability to thrive in a fast-paced, high-ownership environment - Strong product intuition and problem-solving skills - Experience across the stack: React, Typescript, Node, Python, etc. - Excited to join a hybrid team based in San Francisco or New York City Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $180,000 - $225,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Senior Technical Program Manager, Robotics
Scale AI is the data engine for the entire AI industry. Our mission is to accelerate the development of AI applications by providing organizations with the high-quality data they need. The Physical AI team at Scale is focused on the next frontier: building general AI that can reason and act in the physical world. By leveraging Scale’s massive data infrastructure, we are helping frontier labs build Foundation Models for Physical AI that will redefine the future of automation. We are seeking a seasoned, highly collaborative Technical Program Manager (TPM) to serve as the critical bridge between our Engineering and Operations organizations. In this high-impact individual contributor role, you will be the first TPM dedicated to driving cross-functional alignment from initial system design through to large scale production. As the connective tissue between engineering teams and global operations, you will own the lifecycle of complex, multidisciplinary programs. You are someone who thrives in ambiguity, speaks fluent "eng" and "ops," and can seamlessly translate technical constraints into operational realities (and vice versa). You will: - Cross-Functional Program Leadership: Serve as the primary driver of alignment between all major stakeholder groups (Engineering, Operations, Solutions, Product, GTM, etc.), ensuring shared milestones, OKRs, and clear ownership. - Program Lifecycle Management: End-to-end ownership of complex programs. Define program scope, build comprehensive schedules, manage dependencies, and aggressively mitigate risks to ensure on-time delivery. - Communication & Visibility: Establish a single source of truth for program status. Author clear program documentation, maintain schedules, and provide regular, high-impact updates to executive leadership. - Navigating Ambiguity & Pathfinding: Thrive in a highly fluid, rapidly evolving environment. As the first cross-functional TPM in this space, you will frequently face ill-defined problems, shifting priorities, and missing processes. You are expected to proactively chart a path forward, make sound decisions with incomplete data, and establish structure where none exists. - Tactical Execution & Grit: Operate with a deep, hands-on approach. You are not just a high-level coordinator; you are willing to roll up your sleeves and dive into the details—whether that means managing hardware release schedules, running sprint planning meetings, or manually auditing data to solve a critical issue. - Process Establishment: Design and implement scalable frameworks, tools, and communication cadences to optimize how our Eng and Ops teams collaborate. Ideally you'd have: - Experience: 5+ years of experience as a TPM, Product Manager, or Lead Engineer managing complex, deeply technical programs. - Cross-Functional Mastery: Demonstrated success managing programs that span both engineering / R&D and operational environments. - Problem Solving: Exceptional ability to navigate ambiguity, build structure out of chaos, and influence senior stakeholders without formal authority. - Technical Literacy: Strong technical foundation allowing you to actively participate in architecture reviews and credibly challenge/evaluate technical trade-offs with both HW and SW engineers. - Education: Bachelor’s degree in Engineering, Robotics, Computer Science, or a related technical field. Nice to haves: - Robotics Domain Expertise: Proven track record delivering complex robotics, mechatronics, autonomous vehicles, or hardware-software integrated systems from concept to production. - Generative AI Experience: Experience working with large language models (LLMs) and/or vision-language models (VLMs). - Agile & Waterfall: Deep familiarity with both Agile/Scrum and Waterfall methodologies, and the ability to hybridize them effectively. - Education: Advanced degree (MS or PhD) in Engineering, Robotics, Computer Science, or a related technical field. - Certification: PMP certification or equivalent. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $180,800 - $226,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Research Engineer / Research Scientist - Personal AGI, Personality and Model Behavior
About the Team The Personality & Model Behavior team, within OpenAI’s broader Personal AGI team conducts research on how to shape personalities and guide the behavior of models. We think about topics such as emotional intelligence, reasoning, and how models interact thoughtfully with users. We’re particularly interested in understanding how individual users want ChatGPT to behave, and creating personalized models that feel uniquely tailored to each user. We integrate this research into ChatGPT and other OpenAI products that are used by hundreds of millions of users. About the Role We're looking for individuals with strong ML engineering skills and research experience, especially with novel and highly capable models, and in areas like reinforcement learning and reward modeling. An ideal candidate is passionate about product-driven research. In this role, you will: - Conduct research around personalization, personality, and model behavior by leveraging and developing tools such as synthetic data, reward modeling, and reinforcement learning. - Build robust evaluations and model training pipelines to facilitate our research. - Innovate new post-training methods. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. You might thrive in this role if you: - Have a deep understanding of machine learning and its applications. - Have prior knowledge in training and optimizing models and building evaluations. - Are willing to dive into large ML codebases to debug issues. - Thrive in dynamic and technically complex environments. - Have a track record of delivering innovative, out-of-the-box solutions to address real-world constraints. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Technical Program Manager, Platform
As a Technical Program Manager for the Platform team, you will partner with engineering teams to directly accelerate the development and maturity of the Scale Generative AI Platform (SGP) . We are looking for a TPM who has actively built and shipped products in the past and understands how to deliver robust, scalable developer tooling and distributed systems. In this role, you will own the strategic alignment and end-to-end execution of our most critical infrastructure initiatives—from initial scoping to measurable, company-wide and customer-ready adoption. You will serve as the core communication backbone and connective tissue between platform engineering, product teams, and executive leadership. Operating in a hyper-growth, demanding AI environment, you will translate SGP’s architectural complexities into clear execution strategies , unblock engineering bottlenecks, proactively mitigate deployment risks, and ensure our foundational platforms deliver reliable, performant, and secure systems capable of global-scale deployment. Key Responsibilities - Lifecycle & Platform Delivery: Lead strategic planning and high-velocity execution for SGP core capabilities (orchestration layers, model serving, APIs). Manage features from technical scoping and architecture design through production launch. - Cross-Functional GenAI Alignment: Drive execution and manage complex technical dependencies across systems engineering, Core ML, Research, and Product teams to deliver unified SGP capabilities with architectural consistency. - Technical Translation & Requirements: Translate complex infrastructure metrics (LLM inference optimization, GPU utilization, compute orchestration) into actionable roadmaps. Map demands like multi-tenancy, data privacy, and isolation into platform features. - Risk & Dependency Mitigation: Proactively identify, track, and mitigate technical risks unique to massive-scale GenAI infrastructure and global SGP deployments, maintaining momentum despite fast-evolving AI frameworks. - Developer Velocity & Operational Excellence: Establish lightweight agile processes that empower engineers to ship fast without breaking core systems. Define and enforce clear SLOs and performance benchmarks to guarantee production-grade reliability for clients. - Metrics-Driven Adoption: Track and report on SGP adoption metrics, system reliability, delivery forecasts, and engineering bottlenecks directly to executive leadership to ensure the platform scales responsibly. Minimum Qualifications - 5+ years of experience as a Technical Program Manager, Product Manager, or Software Engineer, with a proven track record of having built and shipped technical products or platforms from scratch (e.g., internal cloud infrastructure, developer APIs, distributed systems, or ML platforms). - Platform Domain Expertise: 3+ years of dedicated experience managing programs focused directly on core engineering infrastructure, cloud-native ecosystems (AWS/GCP), container orchestration (Kubernetes), or distributed systems. - AI/ML Infrastructure Literacy: Foundational understanding of the infrastructure required for the Generative AI lifecycle, including high-throughput data pipelines, GPU/CPU cluster utilization, or model training/evaluation setups. - Masterful Communication: Proven track record of presenting to and influencing executive-level stakeholders, with the ability to translate complex technical/architectural challenges into clear business impacts. - Execution Excellence: Advanced proficiency with iterative development methodologies and modern project management tooling (Linear, Jira, etc.) applied to foundational infrastructure environments. Nice-to-Have Qualifications - Engineering Roots: Strong software engineering fundamentals, with prior professional experience as a Software Engineer, DevOps Engineer, or Data Developer before transitioning into program management. - Platform Adoption Track Record: Proven success driving the internal adoption of technical platforms, SDKs, or APIs across disparate, fast-moving product lines. - Data-Centric AI Familiarity: Direct experience working with large-scale data quality pipelines, distributed vector databases, or specialized AI inference engines (e.g., Triton, Ray). PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Pricing Strategist, API
About the Team The Pricing & Monetization team is responsible for how our products create and capture value. We partner closely with Product, Engineering, Data Science, GTM, and Finance to design pricing models, packaging, and commercial strategies that support adoption, growth, and long-term scaling of the business. To thrive in this team, you need to be a proactive problem-solver who excels at bringing structure to ambiguous challenges. Our work demands strategic thinking, cross-functional collaboration, and precision in execution. Team members succeed when they are analytical, detail-oriented, skilled at balancing multiple priorities, and passionate about driving high-stakes projects forward to deliver meaningful results. About the Role We are looking for a Pricing Strategist to shape how we price and monetize OpenAI’s API platform. You’ll own the end-to-end pricing strategy across model launches, price architecture, packaging, commitments and discounts, and monetization guardrails. You’ll work closely with senior leaders across Product, Engineering, Data Science, GTM, and Finance to define pricing approaches, improve commercial decision-making, and bring more rigor to how we monetize our API offerings. You should be comfortable building monetization frameworks and commercial policies, analyzing tradeoffs, supporting high-impact decisions and driving decision making. You should also care deeply about the customer perspective and believe that strong pricing reflects a real understanding of customer value, needs, and friction points in order to build pricing that is clear, fair, and aligned with how customers experience our products. This role will report to the Head of Product Pricing for API & Platform. What you’ll do - Develop the end-to-end pricing strategy for our API platform, including model launch pricing, price architecture, packaging, discount logic, and monetization guardrails. - Recommend pricing for new models, capabilities, and platform offerings, and develop innovative commercial constructs that better serve API customers. - Partner with Product, Engineering, Data Science, Finance, and GTM leaders to ensure pricing aligns with product value, roadmap, commercial motions, and overall growth plans. - Develop clear recommendations that are grounded in customer preferences, product value, and market dynamics. - Establish lightweight but effective pricing governance, including decision frameworks, approval processes, and performance tracking. You might thrive in this role if you - Have 6+ years of relevant experience in pricing, monetization, product strategy, business operations, consulting, or a related field. - Have 3+ years of direct experience in pricing and monetization. - Have a strong track record of developing and shipping successful pricing and monetization strategies across both self-serve and sales-led motions. - Are deeply familiar with consumption-based pricing and the monetization of API, infrastructure, developer-platform, or other usage-driven products. - Can build rigorous analytical and financial models and translate technical cost, usage, and customer data into clear recommendations. - Can balance customer value, product strategy, technical economics, and commercial outcomes in a thoughtful way. - Are comfortable influencing senior cross-functional stakeholders and navigating ambiguous, high-stakes decisions. - Are a self-starter who can roll up their sleeves, learn technical concepts quickly, and operate effectively in a fast-paced, high-ambiguity environment. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Pricing Strategist - Go to Market Pricing
About the team The Pricing & Monetization team is responsible for how OpenAI products create and capture value. We partner closely with GTM, Finance, and Product to to design pricing models, packaging, and commercial strategies that support adoption, growth, and long-term scaling of the business. To thrive in this team, you need to be a proactive problem-solver who excels at bringing structure to ambiguous challenges. Our work demands strategic thinking, cross-functional collaboration, and precision in execution. Team members succeed when they are analytical, detail-oriented, skilled at balancing multiple priorities, and passionate about driving high-stakes projects forward to deliver meaningful results. About the role We are looking for a Pricing Strategist to shape the pricing frameworks, commercial policies, and decision principles that govern our most consequential commercial decisions. This role works closely with senior leaders across GTM and Finance to define our overall pricing strategy for our sales managed segment as well as the key pricing guardrails and commercial pricing framework we enable to help our sellers and customers move fast and land mutually beneficial commercial agreements at scale. The ideal candidate is comfortable developing monetization durable frameworks and commercial policies, analyzing tradeoffs, and supporting high-impact decisions. They bring structure to ambiguity, communicate tradeoffs crisply, and know when an exception reveals a one-off need versus a broader opportunity to improve our commercial model. This role will report to the Head of Go-to-Market Pricing. In this role, you will - Develop frameworks and strategies that guide commercial pricing decisions. - Design commercial constructs—including commitments, incentives, and risk-sharing approaches—that address customer needs while supporting healthy unit economics and long-term growth. - Build and evolve discounting frameworks, guardrails, and approval principles that improve pricing execution, consistency, and speed across segments and deal types. - Partner closely with Sales, GTM Strategy, Finance, Legal, and Product to develop executable proposals and resolve complex commercial questions. You might thrive in this role if you - Have 6+ years of experience in a strategy role (e.g., consulting, bizops, etc.). - 3+ years of expertise in pricing and monetization. Experience with designing discounting frameworks and commercial constructs is a plus. - Have deep experience with enterprise software or technology commercial models; familiarity with usage- or consumption-based pricing is especially valuable. - Can design practical commercial constructs and discounting frameworks—not only analyze them—and understand how policy choices show up in frontline execution. - Are an excellent quantitative problem-solver who can build decision-useful models, pressure-test assumptions, and distinguish precision from false certainty. - Exercise strong commercial judgment across customer value, competitive dynamics, economics, and precedent risk. - Can influence senior stakeholders and hold a clear point of view while remaining collaborative, curious, and open to new evidence. - Communicate complex pricing choices in simple, decision-oriented language for both executive and customer-facing audiences. - Operate well in a fast-moving environment with incomplete information, balancing speed, rigor, and sound escalation judgment. - Care about building pricing approaches that are clear, fair, and aligned with how customers experience value. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Enterprise Field Marketer, EMEA
ABOUT THE TEAM The B2B Marketing team helps the world’s largest organizations understand, adopt, and scale AI responsibly. We partner closely with Sales, Solutions, Product Marketing, Customer Success, Events, and executive leadership to create programs that accelerate strategic customer growth and strengthen OpenAI’s position as the leader in enterprise AI. This role will be responsible for translating business priorities into high-impact customer engagement motions across priority EMEA markets including the UK, Germany, France, and the Nordics, alongside broader regional industries and strategic accounts. We build and run programs that create pipeline, accelerate opportunities, deepen executive relationships, and bring OpenAI’s latest innovations directly to enterprise decision-makers in markets with different levels of maturity, pace, and local context. ABOUT THE ROLE As an Enterprise Field Marketer, you will be a growth partner to EMEA Enterprise Sales, owning field marketing programs that create pipeline, accelerate strategic opportunities, and deepen relationships with priority enterprise accounts across the region. You will own the full program lifecycle, translating sales priorities into EMEA field plans, identifying the right accounts, markets, and moments, with particular focus on the UK, Germany, France, and the Nordics, executing high-quality customer programs, driving follow-up with sellers, and measuring business impact. This is a hands-on role for someone who can balance regional consistency with local market relevance, move from territory strategy to tactical execution quickly, and operate with strong commercial judgment and high accountability for outcomes. This role is based in London. We use a hybrid work model of 3 days in the office per week and offer relocation assistance. Travel is expected for customer events, executive programs, industry conferences, and internal planning moments. IN THIS ROLE, YOU WILL: - Build and execute field marketing plans aligned to priority seller groups, strategic accounts, industries, and priority EMEA markets including the UK, Germany, France, and the Nordics. - Partner closely with EMEA Sales leadership on account prioritization, territory planning, outreach strategy, pipeline goals, follow-through, and local market tradeoffs. - Own the full lifecycle of field programs, from strategy and planning through execution, seller enablement, follow-up, and measurement across a distributed region. - Run high-impact customer programs including executive dinners, roundtables, forums, workshops, industry moments, roadshows, and third-party conference activations, adapting the format to local market context where needed. - Turn marquee moments into measurable pipeline opportunities with clear target accounts, success metrics, seller ownership, and post-event conversion plans. - Collaborate with Product Marketing, Events, Comms, Marketing Operations, Solutions, Customer Success, Partnerships, and executive stakeholders to deliver compelling customer experiences. - Track performance, communicate business impact, and build repeatable playbooks that help field marketing scale across EMEA enterprise segments and markets. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have 8+ years of experience in enterprise field marketing, ABM, regional marketing, sales enablement, or related B2B growth roles supporting complex sales motions, ideally across EMEA or another multi-country region. - Have a track record of creating measurable pipeline impact through field programs, executive engagement, account-based programs, or industry marketing. - Understand enterprise buying cycles, pipeline creation, stage progression, and how field marketing can influence seller productivity across markets with different levels of maturity and local nuance. - Have partnered closely with enterprise sellers and sales leadership on territory planning, account prioritization, QBRs, pipeline reviews, and follow-up across countries, subregions, or distributed sales teams. - Can operate across strategy and execution: you can shape the plan, manage stakeholders, and personally drive the details. - Are highly organized, commercially minded, resourceful, and comfortable making progress when inputs are incomplete or vary by market. - Communicate clearly and can influence senior stakeholders across Sales, Marketing, Product, and customer-facing teams. - Are energized by AI and excited to help enterprises turn new technology into measurable business value. - German or French proficiency a big bonus. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Customer Success Manager - Ads Solutions
About the Team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Ads Solutions team partners closely with advertisers to deeply understand their businesses and needs, helping inform the development of products and solutions that drive meaningful revenue growth and long-term success on the platform—while maintaining strong standards for user trust and platform integrity. About the Role We’re looking for a Customer Success Manager to support advertisers in onboarding, launching, and growing on OpenAI’s advertising platform. You will manage a portfolio of partners and serve as a trusted advisor, helping them achieve their business objectives while ensuring a strong and responsible experience on our platform. This role sits at the intersection of relationship management, strategy, and execution. You’ll work closely with Sales to drive long-term partner growth and with internal teams to continuously improve the advertiser experience. This role is based in our Dublin office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Own relationships with a portfolio of advertising partners, serving as their primary point of contact. - Guide advertisers through onboarding and campaign launches to ensure strong adoption of OpenAI’s ads products. - Analyze campaign performance and provide clear, actionable recommendations to improve outcomes. - Identify opportunities to expand partnerships through increased product adoption and incremental investment. - Partner cross-functionally with Sales, Product, Analytics, Policy, and Operations to resolve issues and enhance platform value. - Surface advertiser feedback and insights to inform product improvements and long-term strategy. - Help build scalable processes and best practices that support the growth of OpenAI’s advertising ecosystem. You might thrive in this role if you: - Have 5-10+ years of experience in digital advertising, account management, customer success, consulting or a related client-facing role. - Have experience managing advertiser or agency relationships in a platform, publisher, or adtech environment. - Are comfortable interpreting performance data and translating insights into strategic recommendations. - Have experience with data querying (e.g. SQL, advanced excel/GSheet) - Communicate clearly and build trust with both technical and non-technical stakeholders. - Operate with ownership and accountability in fast-moving, evolving environments. - Demonstrate sound judgment and a commitment to user trust and responsible platform growth. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Software Engineer, Codex Security
About the Team Codex is OpenAI's software engineering agent. Codex Security extends that work into one of the most important product areas in AI: helping organizations find, validate, prioritize, and fix real vulnerabilities in the software they build and depend on. The Codex Cyber team is building the product and platform foundations for AI-native application security. This includes Codex Security product experiences, cloud-based security analysis, platform controls across Codex, customer deployment and support tooling, and infrastructure that helps security researchers and cyber models improve over time. The team is early, small, and growing quickly, with a mandate to move fast and hire exceptional builders. About the Role We are looking for software engineers first: strong full-stack or product-minded generalists who can own ambiguous product and platform problems end to end. Security experience is helpful, and security curiosity is important, but this is not a role for security specialists who only occasionally write code. The right person is an excellent builder who is excited to work in security and can turn complex research, product, and customer needs into reliable systems. You will work across user-facing product surfaces, developer workflows, backend services, security analysis pipelines, cloud infrastructure, and internal tooling. You may build features that make Codex Security more useful for application security teams, systems that scale cloud-based security analysis, platform controls that make agentic coding safer, or infrastructure that helps security researchers and models become more effective. You will collaborate closely with engineering, product, security research, infrastructure, and customer-facing partners as Codex Cyber becomes a major product and platform investment for OpenAI. In this role, you will: - Build end-to-end product features for Codex Security, from developer-facing interfaces to APIs, backend services, and workflow tooling. - Own ambiguous 0-to-1 projects across product pods, platform security controls, customer deployment workflows, and cyber model infrastructure. - Translate security research and model capabilities into intuitive workflows that help teams find, validate, prioritize, and remediate vulnerabilities with high signal. - Design scalable, observable systems for long-running analyses across large codebases and enterprise environments. - Partner with product, security research, infrastructure, and customer-facing teams to iterate quickly from real-world feedback. - Help shape the technical direction and architecture of Codex Cyber as the team and product surface area grow. You might thrive in this role if you: - Are an excellent software engineer with strong fundamentals and enough range to work across product, backend, infrastructure, and developer tooling. - Enjoy building high-quality product and platform experiences across the full stack. - Are high-agency, low-drama, and comfortable owning features from concept to production in a fast-moving environment. - Have built developer tools, workflow-heavy platforms, security products, internal infrastructure, or product features for technical users. - Have strong product instincts and care about making complex technical systems understandable and useful. - Are excited by security and AI. Direct experience in product security, application security, vulnerability research, defensive security, identity, SSO, or secure developer workflows is a plus, not a requirement. - Like ambiguous 0-to-1 work and can turn messy requirements into crisp, scalable systems. Goals & impact - Build AI-native security products that help users find and fix important vulnerabilities in real software systems before attackers do. - Increase the usefulness and trustworthiness of Codex Security by turning research insights into dependable workflows, product surfaces, platform controls, and remediation tooling. - Help define a new category of security tooling where models reason over real code, validate exploitability, and propose fixes directly in developer workflows. Key technical challenges - Combining model outputs, security analysis, and user workflows into one cohesive product experience. - Designing high-confidence validation and remediation flows that distinguish real issues from noisy or speculative findings. - Scaling product and platform infrastructure for large repositories, complex enterprise environments, and long-running analyses. - Creating developer-friendly interfaces and APIs that make advanced security capabilities understandable and actionable. - Building platform controls and internal systems that help Codex Cyber move quickly while meeting OpenAI's bar for safety, security, and reliability. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Sales Development Lead - LATAM
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We’re looking for a Sales Development (Lead) to lead and scale our growing LATAM SDR team. You’ll be stepping into an exciting phase: we already have a strong foundation SDRs in place, new starters joining, and more hires planned as we continue to grow. This role is pivotal in shaping how we generate pipeline, break into new markets, and drive top-of-funnel excellence at ElevenLabs. You’ll bring structure, coaching, and strategy to a high-velocity team, while working closely with Account Executives and sales leadership to fuel our ambitious growth targets. If you're a player-coach who thrives in fast-paced environments, loves building and developing talent, and gets energy from seeing your team win — we’d love to hear from you. In this role you will: - Lead and coach a team of SDRs with plans for continued headcount growth - Establish and refine scalable processes for outbound prospecting, qualification, and AE handoff - Build onboarding, enablement, and coaching frameworks that set your team up for long-term success - Partner with Account Executives and sales leadership to align on pipeline targets and performance metrics - Use data and tooling to continuously optimise strategy, outreach quality, and conversion rates - Support go-to-market experimentation as we expand across customer segments and global markets - Foster a team culture of curiosity, accountability, and continuous improvement REQUIREMENTS - 4+ years of experience in sales or business development, with at least 1–2 years in a management or team lead capacity - Experience building or scaling high-performing SDR or BDR teams in fast-growing tech environments - Strong understanding of outbound prospecting, especially to technical and enterprise personas - Skilled in sales metrics, CRM/reporting tools, and modern outreach techniques - Excellent coaching and communication skills — you're energised by developing others - Comfortable with ambiguity and pace — you thrive in high-growth, rapidly changing environments - A genuine passion for technology, innovation, and AI - Fluent in English and Spanish - Located in Mexico or Argentina Bonus: - Experience in early-stage or startup environments - Exposure to voice tech, AI, developer tools, or creative platforms - Worked with globally distributed teams #LI-Remote
GTM Chief of Staff
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. Chief of Staff, LATAM | ElevenLabs ElevenLabs is one of the fastest-growing AI companies in the world, valued at $11B and expanding aggressively across Latin America. We're looking for a Chief of Staff to work directly alongside our GM of LATAM, as we build one of the most exciting regional GTM teams in AI. About the role This is a high-trust, high-impact role for someone who combines strategic thinking with hands-on execution. You'll be the operational backbone and strategic partner to the GM, helping drive revenue operations, keeping the team accountable to process, and making sure nothing slips as we scale fast across a complex, multi-market region. No job is too small. No task is beneath you. The upside is significant. What you'll do - Partner directly with the GM on strategy, revenue operations, and regional planning - Own forecasting, pipeline hygiene, and capacity planning across the LATAM team - Support and align teams in complex deal execution - Sit in on AE interviews and customer meetings, representing the GM when needed - Manage complex calendars and coordination across multiple time zones - Keep the team aligned on company processes and following through on commitments - Identify and solve operational problems before they become bigger ones - Use AI tools to automate, streamline, and multiply your own impact - Handle sensitive matters with discretion and act as a trusted partner across the org Who you are - Smart, structured, and practical with genuine commercial instincts - Comfortable in front of customers and equally comfortable in a spreadsheet - Low ego, high ownership, no task beneath you - Passionate about AI and excited to be at the center of a category-defining company - Based in Latin America, same timezone as the team - Prior experience in consulting, RevOps, or a high-growth startup GTM environment What you get Ground floor opportunity on a regional team being constructed. Direct access to senior leadership. Real ownership from day one. And equity in a company that's growing fast and just getting started in LATAM.
Deal Operations Strategist
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE You'll be the go-to deal desk and pricing expert for ElevenLabs' North American sales team -- the person that the sales team comes to when a deal is complex, competitive, or needs to move fast. You'll own pricing strategy and deal structuring for our most critical customers, partnering with stakeholders to get non-standard terms across the line, and build the processes that make the whole machine run faster. - Own the pricing and deal structure for complex enterprise deals, advising sales on commercials and trade-offs in real time to keep things moving toward close. - Work closely with engineering to maintain and evolve our Configure Price Quote tool. - Translate customer requirements into deal structures that work commercially and operationally, knowing where to flex and where to hold firm. - Own the path through internal complexity, aligning Finance, Legal, Product, and leadership so deals don't stall on process. - Partner with Finance to build deal-level P&L models and communicate pricing trends back to the business, informing strategic pricing decisions at the leadership level - Develop and maintain pricing frameworks, discount guardrails, and approval policies that scale with the business. - Build the analytics and feedback loops that surface where deals are slowing down and why — and fix it. REQUIREMENTS - Hands‑on experience configuring and maintaining CPQ rulesets, price books, and approval workflows. - Experience in finance or deal pricing at a company, or experience within investment banking or management consulting - Excellent financial modeling, verbal, and written communication skills - Proven track record of process optimizations or automation. - Ability to make value judgements that balance business, financial, and legal priorities. Bonus: - Knowledge of AI/ML industry pricing models and competitive landscape - Experience scaling deal desk processes in a high-growth environment LOCATION This role is remote-first, so it can be executed from anywhere in the United States, however the ability to operate in EST, CST, or PST timezones is required. #LI-Remote
B2B Marketing Lead - DACH
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We are seeking a seasoned Growth Marketer to lead our expansion into the DACH Region. We need a builder who is comfortable with the "zero-to-one" phase of regional growth. You will be the local "Source of Truth" for marketing, acting as a creative, an analyst, and an operator all at once. You should be someone who enjoys the complexity of multi-lingual markets and has the drive to implement projects from start to finish while owning the outcome entirely. YOUR RESPONSIBILITIES - Regional Growth Engine: Make sure DACH B2B grows through aggressive lead generation and brand awareness. - Outbound Strategy: Build and execute complex, multi-language outbound sequences that cut through the noise. - Local Events: End-to-end ownership of local industry events, user conferences, and webinars in the region. - Cross-Functional Synergy: Collaborate with performance marketing on ABM initiatives and localized retargeting. - Analytics & Reporting: Monitor campaign performance, produce executive-level reporting, and recommend data-driven optimizations. - Localization & Messaging: Adapt ElevenLabs’ global voice to resonate deeply with the Spanish and Italian business cultures. REQUIREMENTS - Native German speaker. - Fluent English speaker. - Ownership Pedigree: You have implemented marketing projects from start to finish and held yourself accountable for the ROI. - Entrepreneurial Background: You have a strong drive and a history of high engagement, ideally in an entrepreneurial endeavor or a similar high-stakes environment. - Thrives in Chaos: You are energized by a dynamic, ever-changing environment and can manage multiple workstreams without losing focus. - The "Jack of All Trades": Broad knowledge in growth marketing, ranging from numbers analysis and performance knowledge to campaign planning and event organizing. - DRI Mentality: Ability to act as the local Directly Responsible Individual (DRI) for all marketing operations. BONUS EXPERIENCE - Proficiency in cold email, SEO, or affiliate management. - Product marketing sense and design skills. - Deep understanding of the Southern European tech ecosystem and buying-cycle shifts. WHAT WE OFFER - Innovative culture & growth paths. - Annual discretionary L&D stipend & social travel stipend. - Annual company offsite. - Monthly co-working stipend. This role is remote-friendly within Germany (Berlin, Hamburg, Munich is preferred). #LI-Remote
Adoption Strategist - Middle East
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role This is a brand new Adoption Strategist role sitting at the intersection of adoption, enablement, product expertise, and implementation, so we expect the scope to evolve and want someone excited to build as it does. You'll work directly with corporate and midmarket customers to drive adoption of their core use case and help identify new ones - but everything you build has to scale across a high-volume book, not custom to one account. You'll need to be genuinely technical, deep enough in the product to be the most knowledgeable person in the room, without ever writing code or owning an account directly. This is a builder role for someone extremely analytical who's already advanced with AI tools. Since this is a new role, we expect the scope to evolve over time - being adaptable and excited to build is a core part of being successful here. Focus areas include, but aren't limited to: - Drive strong adoption by building and delivering scalable implementation and enablement processes that educate customers on best practices and get them to time-to-value quickly on their core use case - Develop deep product expertise across the entire ElevenLabs platform, with a focus on ElevenAgents and ElevenCreative - you're the product expert for enabling both basic and complex use cases, and you're constantly the first to learn new products coming to market - Proactively audit customer agents prompts, configurations, and feature setup to identify gaps, and share recommendations as a value-add service that drives deeper adoption - Track and drive key leading and lagging adoption metrics, partnering with Revenue Operations to iterate on our reporting capabilities, and use those trends to develop data-driven adoption strategies and playbooks across the customer base in region - Partner with Account Management and CX to deliver targeted adoption and enablement campaigns, including regional live workshops and webinars, based on opportunities or new product releases - Engage with external implementation partner and internal teams to help unify adoption strategy across the customer journey (e.g., Forward Deployed Engineering, GTM, Customer Experience, Product Marketing and Engineering) - Partner with leadership on high-impact initiatives that support the local GTM team and global results Requirements - 6+ years in implementation, solutions consulting/engineering, technical account management, or similar at a technical SaaS or AI-native company - Experience with voice AI, TTS, conversational AI, or developer-facing products - A track record of building adoption focused programs from the ground up: onboarding tracks, scaled adoption playbooks, self-serve content, and more - You think in systems but are creative: you're always asking "how do we scale or automate this," and building automations and workflows with AI tools is ingrained in how you work - Extremely analytical: you identify trends easily and use them to close gaps, surface opportunities or standardize best practices. You also identify data points that aren't yet tracked but would uncover new insights and change strategy - Comfortable driving cross-functional outcomes without direct authority, working effectively with Account Management, FDE, RevOps, and GTM to move adoption forward - Experience managing a high-volume book of business at scale, mid-market or commercial segment - Fluency in English is essential and speaking Arabic is a big plus Growth Potential We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role: - Growth Roles - Regional Adoption Lead - Other teams: Account Management or Forward Deployed Engineering - Strategist or Solutions Engineer #LI-Remote
Adoption Strategist - India
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role This is a brand new Adoption Strategist role sitting at the intersection of adoption, enablement, product expertise, and implementation, so we expect the scope to evolve and want someone excited to build as it does. You'll work directly with corporate and midmarket customers to drive adoption of their core use case and help identify new ones - but everything you build has to scale across a high-volume book, not custom to one account. You'll need to be genuinely technical, deep enough in the product to be the most knowledgeable person in the room, without ever writing code or owning an account directly. This is a builder role for someone extremely analytical who's already advanced with AI tools. Since this is a new role, we expect the scope to evolve over time - being adaptable and excited to build is a core part of being successful here. Focus areas include, but aren't limited to: - Drive strong adoption by building and delivering scalable implementation and enablement processes that educate customers on best practices and get them to time-to-value quickly on their core use case - Develop deep product expertise across the entire ElevenLabs platform, with a focus on ElevenAgents and ElevenCreative - you're the product expert for enabling both basic and complex use cases, and you're constantly the first to learn new products coming to market - Proactively audit customer agents prompts, configurations, and feature setup to identify gaps, and share recommendations as a value-add service that drives deeper adoption - Track and drive key leading and lagging adoption metrics, partnering with Revenue Operations to iterate on our reporting capabilities, and use those trends to develop data-driven adoption strategies and playbooks across the customer base in region - Partner with Account Management and CX to deliver targeted adoption and enablement campaigns, including regional live workshops and webinars, based on opportunities or new product releases - Engage with external implementation partner and internal teams to help unify adoption strategy across the customer journey (e.g., Forward Deployed Engineering, GTM, Customer Experience, Product Marketing and Engineering) - Partner with leadership on high-impact initiatives that support the local GTM team and global results Requirements - 6+ years in implementation, solutions consulting/engineering, technical account management, or similar at a technical SaaS or AI-native company - Experience with voice AI, TTS, conversational AI, or developer-facing products - A track record of building adoption focused programs from the ground up: onboarding tracks, scaled adoption playbooks, self-serve content, and more - You think in systems but are creative: you're always asking "how do we scale or automate this," and building automations and workflows with AI tools is ingrained in how you work - Extremely analytical: you identify trends easily and use them to close gaps, surface opportunities or standardize best practices. You also identify data points that aren't yet tracked but would uncover new insights and change strategy - Comfortable driving cross-functional outcomes without direct authority, working effectively with Account Management, FDE, RevOps, and GTM to move adoption forward - Experience managing a high-volume book of business at scale, mid-market or commercial segment - Fluency in English is essential Growth Potential We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role: - Growth Roles - Regional Adoption Lead - Other teams: Account Management or Forward Deployed Engineering - Strategist or Solutions Engineer #LI-Remote
Adoption Strategist - Europe
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role This is a brand new Adoption Strategist role sitting at the intersection of adoption, enablement, product expertise, and implementation, so we expect the scope to evolve and want someone excited to build as it does. You'll work directly with corporate and midmarket customers to drive adoption of their core use case and help identify new ones - but everything you build has to scale across a high-volume book, not custom to one account. You'll need to be genuinely technical, deep enough in the product to be the most knowledgeable person in the room, without ever writing code or owning an account directly. This is a builder role for someone extremely analytical who's already advanced with AI tools. Since this is a new role, we expect the scope to evolve over time - being adaptable and excited to build is a core part of being successful here. Focus areas include, but aren't limited to: - Drive strong adoption by building and delivering scalable implementation and enablement processes that educate customers on best practices and get them to time-to-value quickly on their core use case - Develop deep product expertise across the entire ElevenLabs platform, with a focus on ElevenAgents and ElevenCreative - you're the product expert for enabling both basic and complex use cases, and you're constantly the first to learn new products coming to market - Proactively audit customer agents prompts, configurations, and feature setup to identify gaps, and share recommendations as a value-add service that drives deeper adoption - Track and drive key leading and lagging adoption metrics, partnering with Revenue Operations to iterate on our reporting capabilities, and use those trends to develop data-driven adoption strategies and playbooks across the customer base in region - Partner with Account Management and CX to deliver targeted adoption and enablement campaigns, including regional live workshops and webinars, based on opportunities or new product releases - Engage with external implementation partner and internal teams to help unify adoption strategy across the customer journey (e.g., Forward Deployed Engineering, GTM, Customer Experience, Product Marketing and Engineering) - Partner with leadership on high-impact initiatives that support the local GTM team and global results Requirements - 6+ years in implementation, solutions consulting/engineering, technical account management, or similar at a technical SaaS or AI-native company - Experience with voice AI, TTS, conversational AI, or developer-facing products - A track record of building adoption focused programs from the ground up: onboarding tracks, scaled adoption playbooks, self-serve content, and more - You think in systems but are creative: you're always asking "how do we scale or automate this," and building automations and workflows with AI tools is ingrained in how you work - Extremely analytical: you identify trends easily and use them to close gaps, surface opportunities or standardize best practices. You also identify data points that aren't yet tracked but would uncover new insights and change strategy - Comfortable driving cross-functional outcomes without direct authority, working effectively with Account Management, FDE, RevOps, and GTM to move adoption forward - Experience managing a high-volume book of business at scale, mid-market or commercial segment - Fluency in English is essential, fluency in a 2nd European language (French, Spanish, German, Polish) is desirable Growth Potential We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role: - Growth Roles - Regional Adoption Lead - Other teams: Account Management or Forward Deployed Engineering - Strategist or Solutions Engineer Location This role is remote-first, so it can be executed from anywhere in Europe. If you prefer, you can work from our offices in London, Dublin or Paris. #LI-Remote
Yield & Monetization Analyst (Contract)
About the role Character is building one of the most engaged consumer AI products in the world, and we’re scaling the advertising business that helps fund it. Our core programmatic infrastructure is already in place. We’re bringing on a Yield & Monetization Analyst on a contract basis to strengthen the analytical and operational layer on top of it working hand in hand with our Data team and the rest of the monetization function. This is a role for someone who is fluent in advertising technology and the programmatic advertising ecosystem: you’ll partner with the Data Science team to define the audience segments that drive pricing, maintain a disciplined weekly cadence for monitoring and adjusting price floors, and keep ad monetization in lockstep with our broader initiatives including subscriptions, and one time purchases so the strategies reinforce one another rather than compete. You’ll work alongside our existing monetization teams who handle the underlying ad-stack architecture and implementation; your focus is segmentation, floor governance, and cross-functional alignment. What success looks like We expect this role to deliver: - A segmentation framework, built with the Data Science team, that breaks inventory and audiences into meaningful cohorts (geo, device, surface, engagement / session depth, user tenure) and feeds directly into pricing and demand strategy. - A standing weekly price-floor review running smoothly geo-tiered Unified Pricing Rules monitored, adjusted, and documented against fill and eCPM, with a clear audit trail of changes and outcomes. - Ad monetization decisions are visibly coordinated with subscriptions and other monetization initiatives, ad load, segment treatment, and floor strategy aligned to LTV and user experience so the lines complement rather than cannibalize each other. - A reporting view that connects segments → floor changes → revenue outcomes, legible to Monetization team, Data Science team, and leadership. - What you’ll do - Partner with various internal and external stakeholders to define and continuously refine audience and inventory segments, and translate those cohorts into actionable targeting and pricing strategy. - Own a weekly price-floor governance cadence: review geo-tiered Unified Pricing Rules against performance, propose and apply adjustments, and track the fill / eCPM impact of every change. - Stay in lockstep with broader company monetization initiatives aligning ad strategy, ad load, and segment treatment with LTV, conversion, and user-experience goals, and adjusting on the fly should cannibalization risk be identified. - Monitor daily and weekly revenue, investigate anomalies and discrepancies, and run structured A/B tests to validate floor and segment changes. - Build and maintain dashboards that tie segment performance, floor movements, and demand-source behavior to revenue, partnering with Data on instrumentation and attribution. - Support demand integrations (AdX / Open Bidding, Amazon TAM) in partnership with the monetization owner and Engineering, contributing the analytical lens. - Help translate findings into clear recommendations and briefings for Monetization, Data, and leadership stakeholders. What you’ll bring - 4+ years in yield management, ad operations, revenue / monetization analytics, or publisher monetization, with a strong analytical core. - Demonstrated experience with audience / inventory segmentation and cohort analysis, and comfort working closely with a data team; SQL and BI tooling (e.g. Looker, Tableau) a strong plus. - Hands-on Google Ad Manager fluency, especially Unified Pricing Rules and floor management, plus a solid grasp of the programmatic ecosystem (AdX / Open Bidding, header bidding, SSP / DSP / RTB). - Understanding of hybrid monetization — how ad-supported and subscription / paid models interact, and how to balance ad revenue against LTV and retention. - A disciplined, cadence-driven operator who can run a reliable weekly review and keep a clear audit trail of decisions. - Strong communication — able to make segment and floor analysis legible to both technical and business stakeholders, and to coordinate across functions. - Self-directed and outcome-oriented, comfortable owning a defined scope and delivering within a fixed term. ABOUT CHARACTER.AI Character.AI http://Character.AI empowers people to connect, learn and tell stories through interactive entertainment. Over 20 million people visit Character.AI http://Character.AI every month, using our technology to supercharge their creativity and imagination. Our platform lets users engage with tens of millions of characters, enjoy unlimited conversations, and embark on infinite adventures. In just two years, we achieved unicorn status and were honored as Google Play's AI App of the Year—a testament to our innovative technology and visionary approach. Join us and be a part of establishing this new entertainment paradigm while shaping the future of Consumer AI! At Character, we value diversity and welcome applicants from all backgrounds. As an equal opportunity employer, we firmly uphold a non-discrimination policy based on race, religion, national origin, gender, sexual orientation, age, veteran status, or disability. Your unique perspectives are vital to our success.
Software Engineer, Research Infrastructure
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Research Productivity organization builds the infrastructure and systems that accelerate research across Anthropic, including the tools that help our research process get faster and more effective over time. We're looking for an experienced software engineer to join us as we scale this infrastructure at a moment when both demand and scope are growing extremely quickly. This team operates like a startup within a startup. You'll be a strong fit if you like thinking from first principles, iterating fast on infrastructure, and tackling reliability and scalability challenges head-on as the products built on top of your systems evolve underneath you. You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make the architectural decisions that shape how the infrastructure behind our research tooling gets built. You'll partner directly with research teams to understand their workflows, anticipate how their requirements will change, and design and scale infrastructure that can keep pace. Responsibilities - Design, build, and scale infrastructure and systems that support rapidly increasing usage, where requirements and workload continue to evolve as the products built on top of them evolve - Independently scope and lead complex, multi-month engineering projects, from an ambiguous starting point through to a production system - Drive cross-organizational alignment on technical direction, working through ambiguous problem spaces with multiple stakeholders and teams - Make architectural decisions that shape the foundation of research infrastructure and tooling across Anthropic - Partner directly with researchers to deeply understand their workflows, then anticipate and design for how those needs will change - Iterate quickly, favoring pragmatic, first-principles solutions and fast feedback loops over heavy upfront design - Take ownership of the reliability and scalability of critical systems as load, usage, and complexity increase - Help set technical standards and best practices for the team, and mentor other engineers Minimum Qualifications - Experience designing, building, and operating large-scale distributed systems or infrastructure in production - A track record of independently scoping and delivering complex, ambiguous, multi-month technical projects - Strong software engineering fundamentals and hands-on coding ability - Experience making architectural decisions that other engineers and teams build on top of - Strong written and verbal communication skills, with experience driving alignment across multiple teams or stakeholders - Demonstrated ability to operate effectively in ambiguous, fast-changing environments Strong candidates may also have - Experience building infrastructure or platforms specifically for research or machine learning workflows - Direct experience navigating the reliability and architectural challenges that come with rapidly scaling systems - Experience with distributed systems, cloud infrastructure, and infrastructure-as-code - Familiarity with the compute, tooling, and workflow needs of large-scale machine learning research - Experience operating in a startup or startup-like environment, i.e. a small, fast-moving team with high autonomy - Prior experience as a technical lead or mentor for other engineers The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $625,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Contracts Manager, APAC
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Contracts Manager to join our team in Sydney, Australia as one of the founding members of our Commercial Legal team in the region. Embedded within our in-region commercial and legal operations, you'll work closely with local in-region counsel and lead counsel to support commercial and technology transactions across the region. We'll rely on you to help review, draft, and negotiate commercial and procurement contracts that support our cutting-edge AI systems. You'll also serve as a key partner in translating global legal strategy into regional execution, including supporting the triage of regional matters, rolling out process improvements and initiatives driven from global headquarters, and running local enablement sessions to keep business teams informed and aligned. As one of our first commercial legal hires in Australia, you'll help establish how we build and scale the contracting function across ANZ and the wider APAC region, building scalable processes and collaborating across Product, Sales, Finance, Business Operations, Research, and Procurement teams. Key responsibilities - Draft, analyse, negotiate, and complete complex commercial transactions with our enterprise customers, vendors, and strategic partners, including IP licensing agreements - Propose and develop scalable solutions to improve contracting efficiency - Collaborate with business units and legal team members to streamline contract management processes, identify potential risks, and drive continuous improvement in contract handling efficiency - Work cross-functionally with the Product, Sales, Business Operations, Research, and Procurement teams to achieve key business objectives and deliver strategic, business-minded and creative solutions - Partner closely with in-region counsel and lead counsel on day-to-day triage of regional legal matters, ensuring workload is prioritised effectively and seamlessly coordinated between regional and global teams - Drive the regional rollout of process improvements, policy updates, and programmes initiated from global headquarters, including planning and facilitating local enablement sessions to keep commercial and cross-functional stakeholders informed and ready to execute - Pitch in across other areas of the legal function. As a small team supporting big things, each of us practises across multiple areas, and we'd love to hear where else your experience or interests could contribute Minimum qualifications - Substantive knowledge of software and SaaS agreements, reseller agreements, services agreements, strategic partnerships, and general commercial contract terms - Ability to independently draft, review, and negotiate complex commercial and procurement contracts - Experience managing the full contract lifecycle for technology transactions, sales organisations, and/or partnerships Preferred qualifications - At least 8+ years of related contract management experience, with at least 5 years supporting technology transactions, sales organisations, and/or partnerships - Experience operating in a fast-paced technology startup where priorities shift rapidly and timelines often compress unexpectedly - Prior experience as part of a global or distributed legal team, including partnering with colleagues across regions and navigating the nuances of aligning local needs with centralised priorities - A track record of operating with a high degree of autonomy while keeping global stakeholders appropriately informed, comfortable setting your own cadence and exercising sound judgment about when to escalate versus when to decide - Experience with contract lifecycle management platforms (e.g., Ironclad) for contract drafting, workflow automation, and reporting - Strong habits around async communication, proactive status updates, and operating effectively with a remote manager across time zones - An understanding of what's important in the context of a contract and the organisation's mission, including when to be flexible and when to draw a hard line - A knack for identifying and implementing efficient processes and policies - A preference for straightforward, concise explanations over legalese and overwrought drafting - Comfort operating outside your areas of expertise and in uncharted legal territory - The ability to thrive as a member of cross-functional teams building frontier technologies, with a desire to develop a deep understanding of our technical teams and what we are building - Excellent verbal and written communication, analytical, collaboration, and interpersonal skills - Authentic integrity and a deep understanding of the importance of ethics in business Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Director of Product Management, Forward Deployed & Strategy
Role Summary Lead a high-stakes team of Product Managers responsible for successful delivery and integration of Scale products into complex customer environments. Own the feedback loop that converts bespoke field wins into scalable, repeatable product strategy, partnering deeply with Sales/GTM and EPD (Eng/Product/Design). Core Responsibilities - Hire, mentor, and deploy PMs across strategic accounts (e.g., Fortune 100, government). - Identify patterns across deployments; decide which bespoke solutions should move from custom to core product. - Primary product partner to Sales/GTM leadership to align roadmap with market demand. - Provide strategic + technical oversight to unblock high-priority deployments in “red zones.” - Champion the voice of the field within internal EPD teams. Ideal Background - 10+ years of product leadership, including 4+ years managing Product Management teams. - Experience in forward-deployed models or top-tier technical consulting / implementation. - High technical IQ: comfort with APIs, data pipelines, SQL; understands how data quality affects model performance. - Extreme ownership + systems thinking; navigates complex stakeholder landscapes from engineers to C-suite. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Workplace Operations - New York
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. This is an exciting opportunity to anchor ElevenLabs' New York office -our second-largest hub. As Workplace Operations lead for our SoHo space, you'll be the go-to person for our rapidly growing US team and a central hub for the New York AI community. You'll own the day-to-day workplace experience: keeping operations running smoothly, maintaining white-glove standards, and driving initiatives that elevate employee experience, optimize costs, and scale our infrastructure as we grow. You'll ensure our office is a place where people love to work. This fully in-office role is based in SoHo with on-site presence. Perfect for a proactive, high-energy individual who thrives at the center of the action and wants to grow their career in a fast-paced AI company. IN THIS ROLE, YOU WILL: - Be the Hub & Culture Driver: Serve as the main point of contact for the office, welcoming guests, leading onboarding, and boosting team culture through curated food/beverage programs, social rituals, and office perks. - Run Daily Operations & Vendors: Manage all day-to-day workplace logistics—including cleaning, maintenance, security, and shipping—while owning vendor relationships from contract negotiations to performance management. - Optimize Space & Landlord Relations: Partner with building management to maintain facilities, establish white-glove service standards, and manage ongoing space planning, floor plans, and seating charts to support a growing team. - Support Events & VIP Visitors: Coordinate logistics for internal and external events—such as AI hackathons, team offsites, and all-hands meetings—while ensuring a high-touch, premium experience for visiting executives and clients. - Own Onboarding & Internal Comms: Partner with People Ops to continuously improve the local onboarding experience (tours, swag), manage all office-related communications, and maintain clear SOPs and workplace documentation to ensure a seamless experience as the team grows. REQUIREMENTS - Based in New York, able to be in the office 5 days a week. - Strong operational expertise in managing the day-to-day running of a high visibility office. Thrives in high pressure environments requiring solid judgement and quick decision making. - Experience acting as the primary point of contact for building management, coordinating with vendors, and overseeing office maintenance and supplies. - Ability to communicate effectively with a wide range of stakeholders, from senior executives and legal partners to vendors and office guests, ensuring a professional and welcoming environment. - A proactive and forward-thinking approach, with a proven ability to anticipate needs, identify inefficiencies, and implement new processes to improve workflow in a fast-paced environment. - Experience in fostering a positive and productive office environment, including planning and executing office-wide events and negotiating with vendors to ensure high-quality service and cost-effectiveness. WHY THIS ROLE? This is an exciting opportunity to lead operations at one of the world’s top AI companies. You’ll have the autonomy to shape our local culture, scale a critical hub, and directly impact how our team and the broader AI community experience ElevenLabs every day.
Digital Customer Experience - North America
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE You will own the digital-first post-sales motion for ElevenLabs' digital segment - the 1000+ early-stage and growth-track accounts that are building with ElevenLabs but haven't yet reached the complexity that demands full managed coverage. Your job is to make sure these accounts activate, adopt, stay, and grow - not through 1:1 relationships, but through the systems, sequences, and signals you build. This role doesn't exist yet. You're building it. That means designing the engagement playbook from scratch. In this role you will: - Design and own ElevenLabs' digital CX playbook for scale accounts - trigger logic, lifecycle sequences, in-app messaging, and automated health monitoring, built from the ground up - Build and maintain the health scoring model for digital accounts; define what at-risk, dormant, and breakout-track looks like in product data - Partner with RevOps to wire up the tooling - Claude, Clay, Lemlist, Salesforce - automating what can be automated and surfacing what needs human attention - Own NRR and retention KPIs for the digital segment REQUIREMENTS - Experience in Customer Success, Lifecycle, RevOps, or Growth in a B2B SaaS, developer tools, or AI/ML environment - you know what good looks like in a technical, fast-moving customer environment - AI-native: you use AI tools in your daily workflow and have replaced at least one manual process with an automation that runs without you - A track record of owning commercial outcomes on a digital book - NRR, retention, and expansion driven by automated motions and product signals, not coverage density - Comfortable managing a high-volume book of business with a systems mindset - you build playbooks and repeatable motions, not just individual relationships - Experience using product usage data to spot risk and opportunity - health signals, activation milestones, usage floors - and acting on them before they surface in a renewal conversation - Fluency with the tools of digital CX - Intercom, Clay, Mixpanel, Amplitude, HubSpot, Salesforce, Gong - you don't need to master all of them, but you know how they fit together Preferred - Experience at a product-led growth company - in PLG environments, the product is the primary driver of acquisition, activation, and expansion - Experience in the voice AI, audio AI, or conversational AI space - Experience building digital engagement programs across a long-tail account base (100+ accounts) LOCATION This role is remote-first and can be executed from anywhere in the United States. The ability to operate in ET, CT, MT, or PT timezones is required. There is a preference for candidates based in New York City or San Francisco, with the option to work from our offices in these cities.
Billing Operations Manager
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE ElevenLabs is scaling fast – new enterprise customers, new products, new markets. The Billing Operations Specialist is the person who makes sure every deal that closes is reflected correctly in our systems. This is an operational ownership role, sitting at the intersection of Sales, Customer Success, Finance, and Engineering – responsible for the full billing lifecycle of our enterprise accounts, from provisioning a new customer on day one to cleanly closing out a churned account. You'll resolve discrepancies before customers notice them, catch configuration drift before it becomes a revenue problem, and build the processes that make billing feel invisible to everyone else. The ideal person is someone who is obsessive about accuracy, comfortable navigating ambiguity, and energized (not frustrated) by the complexity of managing billing at scale across hundreds of accounts. Provisioning - Translate closed-won deals from Salesforce into correctly configured subscriptions in our billing platforms, such as Stripe – pricing plan, billing interval, contract start date, trial periods, discounts - Own the reconciliation between executed order forms and what's been requested for provisioning; work with Sales and Legal to resolve any gaps - Partner with Engineering to identify automation opportunities and build guardrails that make provisioning faster and more accurate over time Subscription & account management - Process mid-cycle changes and manage renewal mechanics – upgrades, downgrades, seat changes, plan switches, and so on. - Handle offboarding cleanly: close subscriptions, issue final invoices or credits, ensure no residual billing - Resolve invoice discrepancies raised by customers or flagged by the Customer Success team – incorrect amounts, missing credits, misapplied discounts Revenue integrity - Run periodic audits of active subscriptions to verify billing matches contracted terms - Identify and remediate ghost subscriptions, duplicate customers, and orphaned invoices - Support month-end and quarter-end close by reconciling billing platforms with Finance's records - Surface pricing or configuration anomalies to relevant teams. LOCATION This role is remote-first, so it can be executed from anywhere in the United States, however the ability to operate in EST, CST, or PST timezones is required. #LI-remote
Staff Engineer, Datacenter Server Lifecycle
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is expanding beyond cloud infrastructure, and this role sits at the heart of that effort. As a Staff Engineer on the Datacenter Server Lifecycle team, you will own the end-to-end operational journey of every machine in our facility — from initial provisioning and deployment, across its working life, through maintenance and refresh, and all the way to decommissioning. This is greenfield work: you will help define the processes, tooling, and operational standards that govern how we run and retire hardware at scale. A distinguishing aspect of this role is its deep intersection with security. The machines in our datacenter handle some of the most sensitive workloads in AI — training frontier models and serving millions of users interacting with Claude. Ensuring that every machine in the fleet is trusted, attested, and operating with a verified chain of integrity from the hardware up is a core part of the job, not an afterthought. You will partner closely with our Infrastructure Security team to define and enforce trusted compute standards across the lifecycle, from secure provisioning through end-of-life handling. Key responsibilities - Lead the build-out of automation to support datacenters containing tens of thousands of servers. - Define and own the end-to-end server lifecycle strategy — from provisioning and deployment through operation, maintenance, refresh, and decommissioning — and maintain automation and operational procedures for common lifecycle events (e.g., hardware failures, firmware upgrades, fleet rotations). - Partner closely with Infrastructure Security to design and enforce trusted compute standards across the server lifecycle. - Work closely with our Networking team to ensure end-to-end connectivity across all sites. - Build and maintain tooling to track machine health, configuration, and operational status across the full datacenter fleet. Minimum qualifications - Hands-on experience with server hardware, including rack deployment, cabling, troubleshooting, and understanding failure modes at scale. - End-to-end understanding of hardware lifecycle management: asset tracking, provisioning workflows, maintenance scheduling, and decommissioning practices. - Proficiency in at least one programming language (e.g., Python, Rust, Go, or Java). - Working knowledge of modern cloud infrastructure, including Kubernetes, Infrastructure as Code, AWS, and GCP. - Ability to communicate clearly and build consensus with a wide range of stakeholders. - Comfort navigating ambiguity and making progress on complex, cross-functional problems. - Willingness to travel occasionally to datacenter sites across North America. Preferred qualifications - 8+ years of experience in datacenter operations, hardware infrastructure management, or a closely related discipline. - Hands-on experience with GPU or AI accelerator hardware (e.g., NVIDIA A100/H100, AMD MI300, Google TPUs, or AWS Trainium) and an understanding of their operational demands. - Familiarity with modern provisioning tooling such as coreboot, LinuxBoot, or u-root. - Experience building or contributing to datacenter automation or fleet management platforms. - Experience building and deploying server operating system distributions across thousands of hosts. - Background in large-scale capacity planning and hardware refresh strategy, ideally at a hyperscaler or large cloud provider. - Experience with trusted compute and hardware security concepts such as secure boot, TPM, hardware attestation, and firmware verification — or a strong desire to develop deep expertise in this area. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Channel Account Manager
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Channel Account Manager for Japan, you will be responsible for building, managing, and scaling strategic partnerships with both System Integrators (SIs) and resellers to accelerate the adoption of our solutions in the Japanese enterprise market. You will work at the intersection of cutting-edge technology and Japan's unique business ecosystem, helping partners integrate our products into their solution portfolios and joint go-to-market strategies. As a Channel Account Manager, you will focus on growing reseller business in Japan and achieving quarterly revenue targets through new customers and upsells. The position involves direct collaboration with partners and internal teams to overcome obstacles and implement growth strategies. Responsibilities include designing partner recruitment, enablement, and go-to-market plans, using a test-and-learn approach in ambiguous situations. Strong business creation skills are needed to identify joint value propositions and explore co-selling models. While revenue contribution is the key metric, building scalable partner engagement and executing joint initiatives are crucial for consistent growth. This role is critical to establishing and expanding our presence in Japan through the partner ecosystem, enabling us to serve Japanese enterprises at scale. You will be instrumental in building our channel strategy from the ground up in one of the world's most sophisticated technology markets. Responsibilities: Strategic Partner Management - Develop and execute comprehensive business plans with System Integrators (NTT Data, Fujitsu, NEC, Hitachi, etc.) and key resellers to drive mutual growth and revenue targets - Build and maintain executive-level relationships within Japanese partner organizations, navigating complex organizational structures and decision-making processes - Own the full partner lifecycle from initial engagement through long-term strategic alignment, including regular business reviews and QBRs - Plan and deliver partner-facing activities, such as training sessions, email campaigns, webinars, and joint events - Negotiate and structure partnership agreements including technical integration terms, resale agreements, and revenue-sharing models Business Development & Revenue Generation - Build and maintain relationships with reseller and distributor partners to drive new customer acquisition and upsell revenue - Collaborate with SI partners and resellers to identify, qualify, and close enterprise opportunities in key verticals (manufacturing, financial services, retail, telecommunications, life sciences) - Drive joint sales activities including customer workshops, seminars, proof-of-concepts, and strategic account planning - Track pipeline development, forecast revenue, and report on partnership performance metrics with detailed accuracy - Manage channel conflict and ensure healthy ecosystem dynamics between direct sales, SI partners, and resellers Enablement & Solution Development - Lead comprehensive enablement programs including technical training, certification development, and sales methodology alignment - Work closely with partner practices to develop joint solutions and industry-specific offerings tailored to Japanese market requirements - Coordinate with global product and engineering teams to ensure Japanese partner requirements and customer feedback influence our roadmap - Develop and maintain Japanese-language sales tools, technical documentation, and partner portals - Facilitate knowledge transfer between Anthropic and Japanese partner technical teams Go-to-Market Leadership - Design and execute joint marketing campaigns - Develop customer success stories and case studies that resonate with Japanese enterprise buyers - Partner with internal teams to localize global GTM strategies for the Japanese market - Represent the company at partner events, customer engagements, and industry conferences (CEATEC, Japan IT Week, etc.) - Identify and remove bottlenecks proactively by working with internal teams including Marketing, Sales, and Legal - Foster alignment across departments to ensure successful partner execution and performance You may be a good fit if you have: - 7+ years of experience in channel management, strategic alliances, or business development within the Japanese technology market - Proven track record managing relationships with Japanese System Integrators and/or technology resellers or similar - Deep understanding of Japanese enterprise sales cycles, decision-making processes, and business etiquette - Native or business-level Japanese and English language skills - Strong understanding of the Japanese IT landscape including cloud adoption trends, digital transformation initiatives, and regulatory requirements - Demonstrated ability to navigate complex partner ecosystems and manage channel conflict - Experience with enterprise software, cloud services, or AI/ML technologies in the Japanese market - Exceptional relationship-building skills with ability to establish trust and credibility with executives - Strong analytical skills with experience in business planning, forecasting, and performance measurement Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Technical Program Manager, Strategic Initiatives
About the Team The Strategic Initiatives & Operations team is in need of a Technical Program Manager (TPM) to streamline our processes, including full safety governance and integration of various safety research and mitigations into our ChatGPT, API, and any frontier models. This role is critical for driving safe deployment of our new models, synthesizing inputs from multiple stakeholders, ranging across research, product, engineering, legal and policy, and ensuring all the risks are effectively and properly monitored, mitigated or resolved. About the Role As a TPM, you will be responsible for critical tasks ranging from tracking safety research progress and risk tables to overseeing the quality of human data campaigns – acting as the connective tissue to enhance the deployment of OpenAI’s safety system. Additionally, you will create and execute a compute roadmap for your team to ensure that our top priorities are resourced while taking advantage of new opportunities to make key safety research discoveries. Your primary focus will be to ensure our models are qualified for safe deployment. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Manage key risk areas and corresponding stakeholders. - Keep track of a stack of existing and future mitigations for every major product and model deployment. - Standardize the lifecycle of risk assessment, setting safety bars, consolidating inputs from multiple stakeholders across research, product, engineering, legal and policy, pre-launch safety reviews and post-launch followup. - Manage pre-launch safety reviews. - Share launch calendars and key safety practices and evaluations with our key parter (i.e. Microsoft). - Develop comprehensive documentation for all the safety work, including metrics, evaluations, and progress tracking across multiple teams within OpenAI. - Help with publishing and open sourcing safety learnings, standards, datasets and benchmarks with the public. You might thrive in this role if you: - Possess an advanced degree in a hard science, with a PhD being advantageous, or a demonstrated track record of engineering expertise. - Have an extensive track record of successfully delivering high-profile, complex technical projects against tight deadlines. - Are technically adept, and have effectively partnered with engineering and fundamental research teams of the highest caliber. - Expertise in designing and implementing simple, scalable processes that solve complex problems. - Are relentlessly resourceful and thrive in ambiguous, fast-paced environments. - Strong knowledge of content integrity and moderation, including industry best practices and regulatory guidelines. - Exceptional written and verbal communication skills. - Care about AGI safety. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Senior Staff+ Software Engineer, Kubernetes Platform
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic runs some of the largest Kubernetes clusters in the industry. We have fleets of hundreds of thousands of nodes across multiple cloud providers and datacenters to train, research, and serve frontier AI models. The Kubernetes Platform team owns the Kubernetes control plane that makes those clusters work. We are operating at a scale where the defaults stop working. We own the scheduler and extend it to place topology-sensitive ML workloads across thousands of accelerators at once. We scale the control plane itself — apiserver, etcd, controllers — so it stays responsive as object counts and node counts grow by orders of magnitude. And we build the core cluster services every workload depends on, like service discovery, so they hold up under the same pressure. We make sure the control plane is fast, correct, and always available. Your work will directly determine whether Anthropic can keep reliably and safely training frontier models as our compute footprint continues to grow. Key responsibilities - Own, operate, and extend the Kubernetes scheduler for Anthropic's accelerator fleets, including custom scheduling plugins and policies for gang scheduling, topology awareness, and preemption - Scale the Kubernetes control plane (apiserver, etcd, controller-manager) to support clusters far beyond typical limits, and find the next bottleneck before it finds us - Design, build, and operate core cluster services such as service discovery that every workload in the fleet depends on - Build and maintain custom controllers, operators, and CRDs - Partner with research, training, and inference to understand workload shapes and turn their requirements into platform capabilities - Collaborate with cloud providers on required features and escalations - Participate in on-call, lead incident response, and design processes (postmortems, runbooks, SLOs) that help the team avoid repeating failures Minimum qualifications - Significant software engineering experience building and operating production distributed systems - Proficiency in at least one systems-appropriate language (e.g., Go, Python, Rust, or C++) - Deep, hands-on Kubernetes experience (well beyond "user of”) into scheduler, controllers, apiserver, or operating large multi-tenant clusters - Demonstrated ability to debug complex issues across the stack, from API behavior down to node and network-level root causes - A track record of designing for reliability, correctness, and clear failure semantics in systems other engineers depend on - Strong written and verbal communication; comfort building consensus with internal stakeholders Preferred qualifications - Experience with Kubernetes internals or contributions: kube-scheduler / scheduling framework, apiserver, etcd, client-go, controller-runtime, or similar - Experience building or operating cluster schedulers or batch systems (e.g., Kueue, Volcano, Slurm, or in-house equivalents) - Background scaling control planes or coordination systems (etcd, ZooKeeper, Consul, or large DNS/service-mesh deployments) - Familiarity with ML infrastructure: GPUs, TPUs, or Trainium; gang scheduling; topology-aware placement; collective networking such as NCCL - Experience with GCP and/or AWS, including GKE/EKS internals and Infrastructure as Code - Low-level systems experience such as Linux kernel tuning, cgroups, or eBPF - 12+ years of relevant industry experience, including time leading large, ambiguous infrastructure projects The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Program Manager, Responsible Scaling Policy
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Program Manager to own the operations behind Anthropic's Responsible Scaling Policy (RSP) - the framework that governs when our models are safe to train, deploy, and keep deployed. The RSP drives a continuous cycle of capability evaluations, Risk Reports, ASL safeguard readiness checks, Board approvals, and public commitments. You'll build and run the program infrastructure that keeps that cycle on track against an accelerating model launch cadence: source-of-truth tracking, report pipelines, and cross-functional coordination across research, Safeguards, Security, and Legal. This is one of the most consequential program management roles at Anthropic, sitting at the point where our safety commitments meet our models. The ideal candidate combines rigorous compliance-program instincts with the cross-functional fluency to work across research and exec stakeholders, and genuine conviction in Anthropic's safety mission. Responsibilities A non-exhaustive view of the work this role entails is below, including: - Maintain the source of truth view for every model and the RSP obligations it triggers so anyone can see at a glance where things stand - Project-manage Risk Reports and Capability Reports from end-to-end: shepherding through evals, reviews, and publication to ensure reports land when they're needed - Pull together Safeguards, Security, and any other required reviews ahead of each launch to confirm the applicable RSP standard is met, surfacing gaps early enough to act on them - Own the RSP commitments tracker (Frontier Safety Roadmap milestones, evaluation cadence, public update obligations) and make it the system of record the program runs on - Run RSP version updates through internal review, Board approval, and public posting - Represent the RSP program in launch readiness forums and system card reviews, making sure policy owners are looped in when a decision is needed You may be a good fit if you have - 8+ years running high-stakes, deadline-driven compliance or governance programs where missing a step had real external consequences - regulatory operations, trust & safety launch reviews, security/privacy compliance, or similar - Direct experience as the connective tissue across technical, security, legal, and exec stakeholders who all have different vocabularies and incentives - The ability to read a technical evaluation report, ask the right clarifying questions, and turn it into a crisp decision memo - A demonstrated record of building tracking systems driving cross-functional initiatives to resolution - Calm, sound judgment when launch timelines and safety obligations collide - you can hold a line on process while staying pragmatic - Sharp written communication; your status updates and approval packets need minimal rework before going to senior leadership or externally - Genuine investment in Anthropic's safety mission and a desire to be close to the mechanism that enforces it - Existing context on the RSP, model launch process, or one of the contributing teams (Safeguards, Security, capability evals, Alignment Stress Testing, Policy) is a plus - Experience preparing materials for a Board, regulator, or external auditor is a plus The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 - $235,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Industry Principal, Life Sciences
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. As the Life Sciences Industry Advisor at Anthropic, you will serve as the technical and scientific face of Claude to the world's leading pharmaceutical companies, biotechs, contract research organizations, and research institutions. You'll combine deep life sciences domain expertise with technical credibility to help customers envision, architect, and realize transformational AI solutions across the drug discovery and development lifecycle — while building Anthropic's reputation as the trusted AI platform for one of the most rigorous and regulated industries in the world. This role sits at the intersection of scientific leadership, customer engagement, product strategy, and internal enablement. You'll work directly with Chief Scientific Officers, Chief Medical Officers, Heads of R&D, Chief Digital & Data Officers, Heads of Regulatory Affairs, and computational and translational science leaders at major biopharma and research organizations to design solutions that address their most critical challenges — from literature synthesis and hypothesis generation to bioinformatics, clinical trial design, and regulatory submission. Your insights will flow directly to Product and Research, shaping Claude's roadmap for life sciences. Equally important, you'll enable Anthropic's GTM teams with deep domain expertise, thought leadership content, and strategic guidance. With AI poised to compress drug development timelines and the industry seeking partners who understand the science, the workflows, and the regulatory bar, you'll play a pivotal role in establishing Anthropic as the AI platform of choice for life sciences worldwide. Key responsibilities - Technical Evangelism & Thought Leadership: Represent Anthropic's scientific and technical vision to the life sciences industry through conference keynotes (e.g., J.P. Morgan Healthcare, BIO, DIA, SLAS, Bio-IT World), executive briefings, whitepapers, and scientific advisory boards. Establish Claude as the leading AI platform across discovery research, translational and clinical development, and regulatory affairs. - Strategic Customer Engagement: Serve as executive technical sponsor for strategic life sciences accounts, engaging CSOs, CMOs, Heads of R&D, Chief Digital/Data Officers, and Heads of AI/Computational Science on enterprise AI strategy. Build peer-to-peer relationships that position Anthropic as a strategic R&D transformation partner. - Product Partnership & Roadmap Influence: Translate customer requirements and competitive dynamics into product priorities. Partner closely with Product and Research to develop life-sciences-specific capabilities including scientific accuracy and citation integrity, GxP/validated workflows, data privacy and security, model governance, explainability, and auditability. - Pricing & Commercial Strategy: Contribute to pricing and packaging decisions with life sciences market insight. Understand value drivers across discovery, development, and commercial functions, competitive positioning, and deal structuring that aligns with how biopharma and research organizations buy technology. - Internal Enablement & Advocacy: Train and uplift Anthropic's GTM teams on life sciences domain expertise, scientific workflows, use cases, and buyer personas. Create enablement content, conduct training sessions, and serve as the internal authority on all things life sciences. Influence without authority across the organization. - Regulatory & Compliance Navigation: Partner internally and externally to develop thought leadership on AI governance frameworks aligned with FDA and EMA expectations, GxP and GAMP 5, 21 CFR Part 11, data integrity (ALCOA+), and patient-data privacy (HIPAA/GDPR). Help customers understand model risk management, validation, explainability requirements, and responsible AI practices for regulated scientific and clinical work. - Ecosystem Partnership: Build technical relationships with GSIs and life sciences consultancies (Deloitte, Accenture, PwC, KPMG, ZS, IQVIA), cloud providers (AWS, Google Cloud, Azure), and life sciences platform/data vendors (Veeva, Benchling, Schrödinger, Medidata, 10x Genomics). Minimum qualifications - Have 20+ years of experience in scientific, technology, and/or business roles with at least 8 years in senior leadership positions (CSO, CMO, VP/Head of R&D, Chief Data/Digital Officer, Head of Computational Sciences, Head of Regulatory Affairs, Distinguished Scientist/Engineer) in pharma, biotech, or a life sciences research organization - Have deep domain expertise across one or more stages of the drug discovery and development lifecycle — discovery/translational research, bioinformatics/computational biology, clinical development, or regulatory affairs — with hands-on experience building or operating mission-critical scientific or development systems - Have established executive networks across life sciences R&D and technology leadership (CSOs, CMOs, Heads of R&D / Data Science) and credibility as a thought leader in the industry - Have deep knowledge of life sciences regulatory and quality requirements (FDA/EMA guidance, GxP, GAMP 5, 21 CFR Part 11, data integrity, computer system validation) and experience implementing compliant technology solutions - Have experience influencing product roadmaps based on customer feedback and market requirements, working effectively with Product and Engineering teams Preferred qualifications - Experience bringing generative AI or LLM-based products, or other emerging platform technologies, to enterprises in these industries - Experience selling with and through cloud and ecosystem partners such as AWS, Google Cloud, and global systems integrators - Familiarity with consumption- or usage-based commercial models and value-based pricing conversations The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $450,000 - $550,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Data Center Electrical Engineer
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Training and serving frontier AI models requires compute infrastructure at a scale and density that pushes past what conventional data center designs were built to handle. Anthropic’s Data Center team is responsible for delivering that physical infrastructure — partnering with build partners, equipment manufacturers, and utilities to stand up facilities that can reliably power some of the largest accelerator clusters in the industry. As a Data Center Electrical Engineer based in Japan, you’ll lead the electrical design of our facilities across our rapidly expanding Asia Pacific (APAC) portfolio — owning the architecture from the utility service entrance through to the rack. You’ll develop and maintain the reference designs and specifications our build partners work against, review their engineering submittals, and run the analysis needed to make confident decisions on topology, redundancy, and equipment selection. You’ll ensure the electrical architecture keeps pace with rapidly increasing rack densities and the unique load characteristics of large-scale ML training. This is a global role with a regional focus. You’ll bring fluency in the data center design conventions, codes, and supply markets of Japan, Korea, and the broader APAC region including Australia, and act as Anthropic’s on-the-ground electrical subject-matter expert with local utilities, agencies having jurisdiction, vendors, and contractors. It is also a highly cross-functional role: you’ll work with our hardware and compute teams to translate accelerator requirements into electrical design criteria, and with supply chain to qualify regional equipment vendors and create optionality in a constrained market. Strong candidates will bring deep mission-critical electrical design experience and the judgment to make sound trade-offs when the standard playbook doesn’t apply. Responsibilities Electrical design & engineering - Lead the electrical design of critical data center equipment across the APAC portfolio, including utility interface and substation, site-wide medium-voltage (MV) infrastructure, generators, uninterruptible power supplies (UPS), switchgear, transformers, and earthing/grounding systems. - Develop and maintain Anthropic’s electrical basis of design, reference architectures, and technical specifications for critical power distribution — covering switchgear, UPS systems, PDUs, busway, and rack power delivery — producing designs that meet or exceed our quality requirements while staying within budgetary targets. - Perform and validate engineering studies including short-circuit, coordination, arc flash, load flow, and power quality analysis; use findings to steer design decisions and equipment selection. - Read, interpret, and validate data center floor plans and technical drawings, and design and plan DC hall layouts for newly allocated spaces — including rack positioning, structured cabling, power distribution, and coordination with the cooling design. Partner, vendor & utility coordination - Review and approve electrical design packages, submittals, and shop drawings from build partners and MEP consultants, ensuring designs meet capacity, reliability, and maintainability requirements; review proposed technologies and clarify design justifications. - Work with regional vendors and manufacturers to specify the appropriate electrical equipment, and partner with supply chain to build a diversified vendor base, modular prefabricated units that mitigates lead-time and single-source risk. - Work with local utilities to understand and define site utility requirements, and with local agencies having jurisdiction to ensure compliance with IEC requirements, APAC-wide design codes, and other jurisdictional requirements. - Present findings and proposals to internal stakeholders and DCO teams through clear reports and presentations, and defend design positions when challenged. Delivery, construction & commissioning - Define project scope and provide technical support for information requests prior to and during construction; coordinate and oversee the implementation of data center infrastructure with vendors, contractors, and internal teams, ensuring work follows approved designs and complies with safety, regulatory, and operational standards. - Work with commissioning teams to test and validate the installation, operation, and performance of electrical systems; resolve field engineering issues and review test results against design intent. - Manage concurrent projects across multiple geographies, and travel to sites for design review, electrical systems audits, engineering evaluations, and startup support alongside onsite field engineers. - Contribute to the continuous improvement of Anthropic’s internal electrical design standards and delivery practices, and act as a leader within the global engineering group and across the internal and external teams that support our data centers. You may be a good fit if you - Have 10+ years of electrical engineering experience in mission-critical facilities, with substantial time spent on data center or other high-availability electrical distribution design across the project lifecycle — from concept design through construction, commissioning, and handover. - Speak, read, and write Japanese fluently, and can interpret Japanese technical documentation and communicate effectively with local utilities, authorities, vendors, and contractors. (This role requires Japanese-language proficiency.) - Are familiar with data center design conventions and regulatory/code regimes across Japan, Korea, and the broader APAC region including Australia, and comfortable designing to IEC standards and local jurisdictional requirements. - Hold a bachelor’s degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, or a related field; PE/Chartered Engineer licensure is valued but not required. - Have hands-on experience producing and reviewing electrical construction documents, single-line diagrams, and equipment specifications, and can interpret data center schematics and technical layouts with confidence. - Have strong knowledge of rack layout, structured cabling, power distribution, and cooling infrastructure in high-availability data center environments. - Are fluent in power systems analysis and comfortable running or critically reviewing studies in tools such as SKM, ETAP, or EasyPower. - Understand critical power topologies (2N, N+1, distributed redundant, block redundant) and can articulate the trade-offs between them for different reliability and cost targets. - Have worked directly with electrical equipment manufacturers, vendors, and contractors, and can evaluate products on technical merit, not just datasheet claims. - Communicate clearly with both technical peers and non-specialist stakeholders, and are results-oriented, with a bias toward practical solutions and a willingness to pick up work outside your core remit when the team needs it. Strong candidates may also have - Direct project experience delivering data centers in multiple APAC markets (e.g., Japan, Korea, Australia, Singapore) and familiarity with regional codes and standards such as JIS/JEAC, alongside IEC, NFPA 70/70E, and the IEEE color book series. - Background in medium-voltage distribution, on-site generation, or energy storage integration. - Exposure to liquid-cooled infrastructure and its implications for electrical room layout and load distribution. - Prior work at a hyperscaler, colocation provider, or MEP consultancy serving large data center clients. - A background in banking or other mission-critical facilities. - Experience driving reference designs or standards adopted across multiple sites or by external partners. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
ICML 2026 - University Recruiting
This posting is for candidates (interested in research intern roles) who attended ICML '26 and met with a member of our team. It was great meeting you at ICML 2026! Whether we chatted at our booth, during a poster session, or one of the workshops – we’re thrilled to connect with people who are passionate about pushing the boundaries of machine learning and AI. At Scale AI, our mission is to develop reliable AI systems for the world's most important decisions. For 10 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. We’re currently growing our team across multiple roles. If you're excited about the challenges we’re working on, drop your info here, and we’ll make sure someone from our team reaches out if there's a good fit with one of our open roles. Even if the timing isn’t quite right, we’d love to stay in touch. We look forward to continuing the conversation! In the meantime, you can read more about our research at https://labs.scale.com/ . https://scale.com/careers/university PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
ICML 2026 - Recruiting
This posting is for candidates (interested in research intern roles) who attended ICML '26 and met with a member of our team. It was great meeting you at ICML 2026! Whether we chatted at our booth, during a poster session, or one of the workshops – we’re thrilled to connect with people who are passionate about pushing the boundaries of machine learning and AI. At Scale AI, our mission is to develop reliable AI systems for the world's most important decisions. For 10 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. We’re currently growing our team across multiple roles. If you're excited about the challenges we’re working on, drop your info here, and we’ll make sure someone from our team reaches out if there's a good fit with one of our open roles. Even if the timing isn’t quite right, we’d love to stay in touch. We look forward to continuing the conversation! In the meantime, you can read more about our research at https://labs.scale.com/ . https://scale.com/careers/university PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Subject Matter Expert, Investment Banking
About the Team OpenAI is building AI systems that can help professionals perform complex, high-value work with greater speed, rigor, and creativity. Investment banking is one of the most demanding environments for knowledge work: bankers must synthesize fragmented information, exercise judgment under pressure, and produce precise, defensible models, analyses, and client materials. Our team works across Research, Product, Engineering, and Go-to-Market to make OpenAI's models genuinely useful for these workflows. We translate real professional work into product requirements, evaluations, training signals, and repeatable customer solutions. We care not only whether a model can generate an answer, but whether it can deliver accurate, defensible work that experienced bankers can trust and use. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. About the Role We are looking for a Subject Matter Expert in Investment Banking to help define what excellent AI-assisted banking work looks like and turn that standard into better models and products. You will bring deep, current knowledge of how investment banking work is actually performed, including company and industry research, financial analysis and modeling, valuation, diligence, transaction execution, and the creation and review of client materials. You will use that expertise to design realistic tasks and evaluations, create and assess high-quality reference work, diagnose model failures, and help our technical teams improve model behavior and product experiences. This is a hands-on individual-contributor role for someone who enjoys both doing the work and explaining what makes it good. You should be comfortable moving between an Excel model, a presentation, a source document, an evaluation rubric, a product prototype, and a conversation with researchers or customers. You will help us distinguish outputs that merely look plausible from work that is accurate, traceable, internally consistent, and ready for serious professional use. In This Role, You Will - Define the quality bar for AI-assisted investment banking work across research, financial analysis, valuation, modeling, diligence, transaction execution, and client materials. - Translate real banking workflows into challenging, representative evaluation tasks with realistic inputs, constraints, deliverables, and success criteria. - Create and refine banker-grade reference artifacts, including financial models, valuation analyses, diligence materials, screening outputs, pitch books, committee materials, and transaction documents. - Develop rigorous rubrics and grading methods that assess financial correctness, analytical judgment, source quality, traceability, internal consistency, presentation quality, and practical usefulness. - Evaluate model outputs and end-to-end agent workflows, identify recurring failure modes, and translate findings into actionable feedback for Research, Engineering, and Product. - Partner with researchers and engineers on evals, graders, datasets, human-review processes, tools, and product integrations that improve model performance on financial work. - Work closely with product teams to identify the highest-value opportunities for AI in investment banking, prototype new workflows using OpenAI tools, and assess whether early experiences meet the needs of real users. - Engage with customers, design partners, and domain reviewers to understand real-world standards and constraints, support testing and adoption, codify domain knowledge, and ensure responsible financial-services deployment. You Might Thrive in This Role If You - Have 2+ years of investment banking experience, including live transaction execution and the production of high-quality analyses, financial models, and client materials. Demonstrated ability and judgment matter more than title or tenure. - Have strong command of core banking workflows across M&A, capital raising, strategic advisory, or a closely related product or coverage area. - Can build and review financial analyses in Excel and produce polished PowerPoint materials, with a sharp eye for errors, weak assumptions, unsupported claims, inconsistent numbers, and poor presentation. - Understand how work and judgment evolve from junior analyst through director, and can identify where AI should automate execution, support decision-making, or remain subject to human review. - Exercise excellent analytical judgment and can assess whether an approach is appropriate, evidence is sufficient, and an output would withstand senior review. - Can translate expert intuition into clear standards, actionable feedback, rubrics, and guidance that others and evaluation systems can apply consistently. - Thrive in ambiguous, zero-to-one environments and are willing to create the first version of a task, model, deck, rubric, workflow prototype, or playbook. - Are curious about AI, comfortable collaborating with technical and non-technical stakeholders, and able to apply sound judgment around confidentiality, data entitlements, governance, regulation, and reputational risk. Especially Strong Candidates May Also Have - Experience across multiple banking products, industry coverage groups, geographies, or transaction types, or in adjacent fields such as private equity, corporate development, equity research, private credit, leveraged finance, or restructuring. - A track record of improving financial workflows through automation, templates, knowledge systems, data tools, process redesign, or new technology. - Familiarity with evaluation design, quality assurance, benchmarking, data annotation, prompt design, or testing AI-enabled financial tools. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Research Engineer, Machine Learning (RL Velocity)
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The RL Velocity team owns the efficiency and reliability of our RL Science stack - the infrastructure, tooling, and systems that let researchers iterate quickly on training runs. As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, removing bottlenecks that slow down research and making it easier for the broader org to ship better models faster. This is high-leverage work: small improvements to velocity compound across every researcher and every run. Responsibilities - Build and improve the RL training infrastructure that researchers depend on day-to-day - Identify and remove bottlenecks across the RL stack: debugging, profiling, and rearchitecting where needed - Partner closely with researchers and with adjacent engineering teams (inference, sandboxing, and many more) to understand pain points and ship tooling that makes them faster - Own the reliability and performance of research runs end-to-end - Contribute to design decisions that shape how Anthropic does RL at scale You may be a good fit if you - Have strong software engineering fundamentals and a track record of building performant, reliable systems - Have worked on ML infrastructure, distributed systems, or research tooling - Care about enabling other people's work and find leverage through platforms rather than individual experiments - Are comfortable operating across the stack, from low-level performance work to RL algorithms - Have a bias toward shipping and iterating quickly, with a mix of high agency and low ego Strong candidates may also have - Experience with large-scale distributed training (RL, pre-training, or post-training) - Familiarity with JAX, PyTorch, or similar ML frameworks - A track record of operating at the edge of research and infra in a fast-moving environment Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 - $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Engineering Manager, Research Data Platform
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's researchers generate and depend on enormous amounts of data — training runs, evaluations, RL transcripts, annotations etc... The Research Data Platform team builds the systems that make that data easy to produce, find, query, and trust. We work in two modes: we build platform components that other systems plug into (for example, a metrics library that training frameworks integrate to record and retrieve run data), and we own core datasets end to end (for example, the data pipeline behind RL transcripts). As the team's tech lead, your job starts with our users. You'll work directly with researchers — and with the engineers who support them — to understand how they actually work, where managing data slows them down, and where a well-built platform component or a well-curated dataset would change what's possible. You'll turn what you learn into technical direction for the team, in partnership with the team's manager, who owns priorities and people. A central ambition you'll drive: a small set of canonical, well-documented datasets — starting with the core data model for RL — that researchers trust and standardize on, rather than every team managing its own copies. You'll spend your first few months close to the code and close to users: shipping improvements in our core systems, embedding with research teams, and building your own map of their workflows. As the team grows, this role has a natural path into formal people leadership for someone who wants it. Responsibilities - Work directly with researchers and the engineers supporting them to understand their workflows, identify the highest-leverage opportunities, and shape what the team builds next - Set the technical direction for the team across our platform and our datasets - Design and build platform components that other teams plug into — libraries, services, and interfaces such as the metrics library used by training frameworks - Own core datasets end to end: the pipelines that produce them, the schemas that define them, and the documentation and guarantees that make researchers trust them - Drive convergence toward canonical datasets — including the core data model for RL transcripts — that research teams standardize on - Lead complex, multi-quarter projects that span several systems and teams, staying hands-on in the code - Raise the team's technical bar through design reviews, mentorship, and the quality of your own work You may be a good fit if you: - Have built and operated data-intensive systems at scale — pipelines, storage layers, query systems — with strong instincts for data modeling and schema design that hold up as usage grows - Have set technical direction for a team, or owned the architecture of a data platform that other teams build on - Treat internal users as customers: you do the discovery work, iterate with users, and measure success by adoption rather than by shipping - Understand that researchers aren’t typical internal customers — the work is exploratory by nature, workflows differ from team to team, and requirements are discovered through experiments rather than specified up front - Can build for that motion — keeping interfaces stable and data trustworthy while use cases change underneath you, and judging when a quick, disposable solution serves research better than a durable one - Lead through influence — aligning engineers and stakeholders without relying on formal authority - Are results-oriented and pragmatic, willing to do unglamorous work when it's the highest-leverage thing - Are excited about learning the fundamentals of machine learning research (deep ML expertise is not required) - Care about the societal impacts of your work Strong candidates may also have - Experience with large-scale ETL and columnar or analytical storage (e.g., Spark, BigQuery, ClickHouse, DuckDB, Parquet) - Experience with metrics or experiment-tracking systems, or high-volume time-series data - Experience with dataset management, cataloging, or lineage tooling - Built developer tooling or internal data platforms for demanding technical users — including in domains like quantitative trading, where fast-moving, exploratory data work looks a lot like research - A working knowledge of machine learning - Worked in, or closely with, an ML research lab - Interest in — or experience with — people management and growing engineers The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Account Executive - Canada - Corporate
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE ElevenLabs is building its first dedicated Canadian go-to-market team, and this is a founding Account Executive role based in Canada. We’re looking for a highly motivated, self-starter who is passionate about voice technology and how it is changing businesses. Working alongside the team led by our GM of Canada, you’ll help build our Canadian playbook from the ground up. We don’t just sell a product or custom-level solutions; we are partnering with organizations to help them generate new experiences and monetization opportunities at scale with our breakthrough voice technology. In this role you will: 1. Build and manage a growing portfolio of new accounts across industries adopting conversational AI to help ElevenLabs meet its revenue goals 2. Identify new business opportunities where ElevenLabs’ conversational AI capabilities can drive user engagement, automation, or cost efficiency 3. Build your own pipeline through proactive outbound prospecting, partnering with our SDR team to identify and engage net-new accounts 4. Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends 5. Demonstrate expertise, or a strong willingness to learn, about conversational AI and how ElevenLabs’ voice technology can unlock value across customer support, virtual agents, in-app assistants, and more REQUIREMENTS - 4-6 years of sales experience in a SaaS or technology company, ideally with exposure to AI, generative AI, LLM-based products, or API platforms - Experience selling technical solutions to product, engineering, or innovation teams is a strong plus - Proven track record of meeting & exceeding sales targets in a fast-paced environment - Proven track record of self-sourcing pipeline and running a disciplined outbound motion, not just closing inbound or marketing-sourced leads - A versatile operator who thrives on autonomy and ambiguity, takes ownership without waiting for direction, and brings competitive drive to building something from the ground up - Expertise or willingness to learn everything about voice and audio AI and how our solutions can help prospects - Excellent communication and interpersonal skills, with the ability to build and maintain relationships with stakeholders at all levels of an organization - A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale - Bilingual (English/French) is a plus LOCATION This role is remote-first and can be executed from anywhere in Canada, with a strong preference for candidates based in Toronto. If you’re not based near one of our hubs, we offer a monthly co-working stipend so you can work from a space that suits you. #LI-remote
Member of Technical Staff - Post-Training Research
ABOUT US: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We're building a platform that covers the whole life of an LLM: training it, deploying it, and observing it in production. We already run multi-node training, elastic inference, sandboxes, and distributed volumes, and we control the infrastructure underneath. We’re looking for research depth in post-training to sit alongside our systems and product work. You will do hands-on post-training research at Modal, working with the research lead to pick high-impact bets and owning them end to end. The work that pays off fastest is tied to production workloads -- we're already experts at training speculators for deployed models, and there are open research questions like distilling a target model from its own production traffic. There is also room to prove what the platform makes possible, where training AI scientists or kernel engineers is a natural fit given our GPU sandboxes. WHAT YOU'LL DO: - Own end-to-end post-training research bets: async and agentic RL, on-policy distillation, long-context RL, small routing models, and whatever else the research agenda calls for. - Work directly with customers alongside our Forward Deployed Engineers to train models and bring what you learn back into the research. - Carry and expand collaborations with outside research labs. For example, our work with ZLab on DFlash https://modal.com/blog/spec-is-all-u-need, a speculator design built on KV injection and blockwise parallel drafting. - Work with engineering to turn frontier post-training techniques into products: an opinionated post-training framework, distributed-training approaches (DiLoCo, evolutionary strategies), online training for deployed models, and more. - Help shape the research agenda. None of the above is prescriptive; your work will help guide our future. REQUIREMENTS: - A research-leaning background in post-training LLMs, with work you can point to. - Enough product sense to tell which frontier techniques matter to users and which stay academic. - A record of shipping research that other people build on, whether in a lab or in industry. - The drive to take a research bet from idea to result without much hand-holding, working in the open with the rest of the team. - Ability to work in-person, in our NYC or San Francisco office.
Member of Technical Staff - Inference Research
ABOUT US: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: Most of the value of owning a model shows up at serving time. We're building a platform that covers the whole life of an LLM -- train it, deploy it, observe it -- and inference is where teams feel the difference every day. We already run elastic inference, sandboxes, distributed volumes, and multi-node training, and we control the infrastructure underneath, so the serving stack is ours to shape rather than something we resell. You will do hands-on inference research at Modal, working with the research lead to pick high-impact bets and owning them end to end. The bets that matter most are the ones that move cost per token and tail latency on the workloads our customers actually run. WHAT YOU'LL DO: - Own end-to-end inference research bets: speculative decoding, disaggregated prefill/decode, quantization (FP8, INT4), KV-cache and memory management, autoscaling for spiky serverless traffic, and whatever else the research agenda calls for. - Train custom speculators against real production traffic and feed what you learn back into target models -- acceptance length is the metric that decides the win. - Work directly with customers alongside our Forward Deployed Engineers to deploy and tune models, and bring what you learn back into the research. - Carry and expand collaborations with outside research labs, for example: - our work with ZLab on DFlash https://modal.com/blog/spec-is-all-u-need, a speculator design built on KV injection and blockwise parallel drafting - our work with SGLang on specdec https://modal.com/blog/host-overhead-inference-efficiency and multimodal inference https://modal.com/blog/boosting-multimodal-inference-performance-by-greater-than-10-with-a-single-python-dictionary performance - our work on Flash Attention 4 kernels https://modal.com/blog/flash-attention-4-faster - Work with engineering to turn frontier serving techniques into products: primitives for disaggregation, fast weight refresh for models that keep training after deployment, observability for quality and latency in production, or even a next-generation inference engine. - Help shape the research agenda. None of the above is prescriptive; your work will help guide our future. REQUIREMENTS: - A research-leaning or systems background in LLM inference, with work you can point to. - Fluency in the LLM serving stack, from kernels and quantization up to schedulers and autoscaling. - A record of shipping research or systems that other people build on, whether in a lab or in industry. - The drive to independently take a research bet from idea to result, working in the open with the rest of the team. - Ability to work in-person, in our NYC or San Francisco office.
Account Executive - North America - Enterprise
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We’re looking for an experienced, motivated Enterprise Account Executive to drive ElevenLabs' growth in Fortune 500 and large-scale enterprises across the United States. Our ideal candidate is passionate about the transformative possibilities of AI voice technology, and eager to act as a strategic partner - enabling organizations to leverage our industry-leading models and product to reimagine their customer experience, internal workflows, and monetization strategies. In this role you will: 1. Build and manage a growing portfolio of new accounts across industries adopting conversational AI to help ElevenLabs meet its revenue goals 2. Identify new business opportunities where ElevenLabs’ conversational AI capabilities can drive user engagement, automation, or cost efficiency 3. Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends 4. Demonstrate expertise—or a strong willingness to learn—about conversational AI and how ElevenLabs’ voice technology can unlock value across customer support, virtual agents, in-app assistants, and more 5. Develop and execute account strategies to expand ElevenLabs’ presence within key enterprise verticals (e.g., healthcare, government, finance). 6. Partner closely with customer success and solutions engineering to ensure smooth onboarding and expansion of accounts. 7. Serve as a trusted advisor to clients, educating them on emerging trends in generative AI, voice interfaces, and conversational agents. Requirements - 7+ years of quota‑carrying enterprise sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API‑driven platforms. - Proven success closing seven‑figure deals and managing complex sales cycles with multiple stakeholders. - Deep understanding of enterprise procurement and legal processes, with ability to accelerate deal velocity. - Experience selling technical solutions to product and engineering leaders; ability to translate complex technology into business value. - Strong executive presence and ability to build relationships at the C‑suite and board level. - Comfort operating in an early‑stage, high‑growth environment, including building new playbooks and iterating quickly. - Passion for voice and audio AI and how it can unlock transformative value for customers. - A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale Location This role is remote-first, so it can be executed from anywhere in the United States, however the ability to operate in EST, CST, or PST timezones is required. There is a preference for candidates to be based in New York or San Francisco, with the option to work out of our office. #LI-remote
Account Executive - North America - Corporate
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We’re looking for an experienced, motivated Corporate Account Executive to drive ElevenLabs' growth in small to medium sized businesses across the United States. Our ideal candidate is passionate about the transformative possibilities of AI voice technology, and eager to act as a strategic partner - enabling organizations to leverage our industry-leading models and product to reimagine their customer experience, internal workflows, and monetization strategies. In this role you will: 1. Build and manage a growing portfolio of new accounts across industries adopting conversational AI to help ElevenLabs meet its revenue goals. 2. Identify new business opportunities where ElevenLabs’ conversational AI capabilities can drive user engagement, automation, or cost efficiency. 3. Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends. 4. Demonstrate expertise—or a strong willingness to learn—about conversational AI and how ElevenLabs’ voice technology can unlock value across customer support, virtual agents, in-app assistants, and more. 5. Develop and execute account strategies to expand ElevenLabs’ presence within key verticals. 6. Partner closely with customer success and solutions engineering to ensure smooth onboarding and expansion of accounts. 7. Serve as a trusted advisor to clients, educating them on emerging trends in generative AI, voice interfaces, and conversational agents. REQUIREMENTS - 3+ years of quota‑carrying enterprise sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API‑driven platforms. - Proven success closing deals and managing complex sales cycles with multiple stakeholders. - Deep understanding of enterprise procurement and legal processes, with ability to accelerate deal velocity. - Experience selling technical solutions to product and engineering leaders; ability to translate complex technology into business value. - Strong executive presence and ability to build relationships at the exec level. - Comfort operating in an early‑stage, high‑growth environment, including building new playbooks and iterating quickly. - Passion for voice and audio AI and how it can unlock transformative value for customers. - A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale LOCATION This role is remote-first, so it can be executed from anywhere in the United States, however the ability to operate in EST, CST, or PST timezones is required. #LI-remote
Account Executive - Canada - Enterprise
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE ElevenLabs is building its first dedicated Canadian go-to-market team, and this is a founding Enterprise Account Executive role based in Canada. We’re looking for an experienced, motivated seller to drive ElevenLabs’ growth in Fortune 500 and large-scale enterprises across Canada. Working alongside the team led by our GM of Canada, you’ll help build our Canadian enterprise playbook from the ground up. Our ideal candidate is passionate about the transformative possibilities of AI voice technology, and eager to act as a strategic partner - enabling organizations to leverage our industry-leading models and product to reimagine their customer experience, internal workflows, and monetization strategies. IN THIS ROLE YOU WILL 1. Build and manage a growing portfolio of new accounts across industries adopting conversational AI to help ElevenLabs meet its revenue goals 2. Identify new business opportunities where ElevenLabs’ conversational AI capabilities can drive user engagement, automation, or cost efficiency 3. Generate and own pipeline through targeted outbound into priority accounts, partnering with SDRs and our partnerships team to break into the C-suite 4. Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends 5. Demonstrate expertise, or a strong willingness to learn, about conversational AI and how ElevenLabs’ voice technology can unlock value across customer support, virtual agents, in-app assistants, and more 6. Develop and execute account strategies to expand ElevenLabs’ presence within key Canadian enterprise verticals (e.g., financial services, public sector, telecom). 7. Partner closely with customer success and solutions engineering to ensure smooth onboarding and expansion of accounts. 8. Serve as a trusted advisor to clients, educating them on emerging trends in generative AI, voice interfaces, and conversational agents. REQUIREMENTS - 7+ years of quota-carrying enterprise sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API-driven platforms. - Proven success closing seven-figure deals and managing complex sales cycles with multiple stakeholders. - Proven ability to self-source pipeline and build territory from scratch in a new or greenfield market. - Deep understanding of enterprise procurement and legal processes, with ability to accelerate deal velocity. - Experience selling technical solutions to product and engineering leaders; ability to translate complex technology into business value. - Strong executive presence and ability to build relationships at the C-suite and board level. - Comfort with autonomy and ambiguity, plus the competitive, ownership-driven mindset to thrive in an early-stage, high-growth environment and build new playbooks, processes, and territory from scratch. - Passion for Agentic AI / Voice AI / Audio AI and how it can unlock transformative value for customers. - A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale - Bilingual (English/French) is a plus LOCATION This role is remote-first and can be executed from anywhere in Canada, with a strong preference for candidates based in Toronto. You’ll operate primarily in the ET timezone, with the ability to collaborate across CT, MT, and PT as needed. If you’re not based near one of our hubs, we offer a monthly co-working stipend so you can work from a space that suits you. #LI-remote
AI Deployment Engineer, Startups
About the team The AI Deployment Engineering team works closely with frontier startups. We are trusted advisors to, and thought partners with, startups to ensure that OpenAI’s technology is deployed safely and effectively, whilst also partnering with engineering, research, and product to turn those insights into evaluation systems, product improvements, and better model behavior. This team sits at the intersection of customer reality and model quality. We combine hands-on technical depth with strong product judgment, helping translate complex, high-value use cases into clear signals that can improve both the customer experience and the underlying systems. About the role We are seeking a technically proficient, product-minded engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, helping them optimize their own systems and turning those learnings into durable improvements across OpenAI’s research and products. You will partner deeply on complex workflows, identify the gaps that matter, and help transform those gaps into reproducible evaluations, technical insights - helping shape OpenAI's research and product direction. This role is well suited to engineers who are equally comfortable debugging a workflow, iterating on prompts or agents, designing evaluations, and collaborating across research and product. You should be excited by ambiguous, high-impact problems and motivated by the opportunity to shape how advanced AI systems improve in practice. This role is based in Stockholm. In this role, you will: - Work directly with strategic startup customers to understand critical workflows, uncover failure modes, and identify high-impact opportunities for improvement. - Prototype and iterate on prompts, agents, and workflow designs to better understand system behavior and unlock customer value. - Synthesize and deliver valuable feedback to the Product and Research teams, turning real usage patterns into clear, reproducible evals, benchmarks, and technical artifacts that improve model and product quality and ensure customer-grounded learnings influence roadmap and model development. - Build repeatable tools, patterns, and evaluation approaches that raise the quality bar across multiple use cases. - Operate with strong judgment in ambiguous environments, balancing immediate technical problem-solving with longer-term system improvement. - Build relationships within the startup ecosystem, serving as a technical partner to both individual customers and the broader community. You’ll thrive in this role if you: - Have strong software engineering & AI fundamentals. For example, experience as a startup CTO, software engineer, ML engineer, Data Scientist or equivalent. Experience shipping production systems end-to-end is a strong plus. - Have experience as a technical founder, or engineer at an early stage startup - Have familiarity with, or interest in, model training pipelines and reinforcement learning. - Have experience building AI applications, agents, or evaluation systems, and can reason clearly about model behavior in complex workflows. - Are comfortable working directly with highly technical users and translating their challenges into concrete technical signals. - Can move fluidly between prototyping, debugging, evaluation design, and cross-functional collaboration. - Communicate clearly across technical and non-technical audiences. - Bring high agency, strong product sense, and a bias toward building durable improvements rather than one-off fixes. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Senior Education Engineer
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE LangChain Academy is how developers, engineers, and AI practitioners go from curious to capable on LangChain’s products. We’re looking for an experienced Education Engineer to own the development of curriculum that turns developers into proficient agent builders. This is a high-craft, high-ownership role at the intersection of software engineering and education. You’ll design and build the courses, tutorials, and live workshops that teach the LangChain ecosystem to a community of over 1 million developers — many of whom are building production agents for the first time. The bar is high: developers can tell the difference between content that genuinely helps them build and content that’s just a feature tour. Your job is to create content that consistently clears that bar. You’ll work closely with LangChain’s engineering team to stay at the frontier of what’s possible with LangGraph, LangChain, and the broader ecosystem, and work with the Technical Content Manager to shape curriculum strategy and prioritize what gets built. You’ll also partner with the Education Marketing Lead on course launches, YouTube content, and live events. WHAT YOU’LL DO CURRICULUM & COURSE DEVELOPMENT - Build the courses that define how developers learn to build agents. Design and develop end-to-end curriculum for LangChain Academy - from scoping and structure to hands-on labs and assessments — that take developers from zero to proficient with our products. - Partner with LangChain engineers to stay at the frontier. Work closely with the engineering team to understand what’s new, what’s changing, and what developers need to know. Translate that into curriculum. - Write code that teaches. Build the notebooks, example apps, and working code samples that sit at the core of every course. The code needs to be clean, well-structured, and genuinely instructive. - Build the conceptual foundation developers need to build well, not just build. As coding agents handle more of the implementation, what developers need most is a clear mental model of what’s possible and what good looks like — the right architecture, the right tradeoffs, the right patterns. Craft explanations, diagrams, and frameworks that develop genuine understanding. - Keep curriculum current. Agent engineering is a fast-moving field. Own the ongoing review and revision of existing courses to keep them accurate, relevant, and aligned with the latest LangChain releases and agentic applications. LIVE EDUCATION & COMMUNITY - Represent LangChain at workshops, meetups, and conferences. Design and deliver live technical education at developer events — from intimate hackathons to large conference stag
Research Engineer, Production Model Post-Training
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. As a Research Engineer on our Post-Training team, you'll train our base models through the complete post-training stack to deliver the production Claude models that users interact with. You'll work at the intersection of cutting-edge research and production engineering, implementing, scaling, and improving post-training techniques like Constitutional AI, RLHF, and other alignment methodologies. Your work will directly impact the quality, safety, and capabilities of our production models. Note: For this role, we conduct all interviews in Python. This role may require responding to incidents on short-notice, including on weekends. Responsibilities: - Implement and optimize post-training techniques at scale on frontier models - Conduct research to develop and optimize post-training recipes that directly improve production model quality - Design, build, and run robust, efficient pipelines for model fine-tuning and evaluation - Develop tools to measure and improve model performance across various dimensions - Collaborate with research teams to translate emerging techniques into production-ready implementations - Debug complex issues in training pipelines and model behavior - Help establish best practices for reliable, reproducible model post-training You may be a good fit if you: - Thrive in controlled chaos and are energised, rather than overwhelmed, when juggling multiple urgent priorities - Adapt quickly to changing priorities - Maintain clarity when debugging complex, time-sensitive issues - Have strong software engineering skills with experience building complex ML systems - Are comfortable working with large-scale distributed systems and high-performance computing - Have experience with training, fine-tuning, or evaluating large language models - Can balance research exploration with engineering rigor and operational reliability - Are adept at analyzing and debugging model training processes - Enjoy collaborating across research and engineering disciplines - Can navigate ambiguity and make progress in fast-moving research environments Strong candidates may also: - Have experience with LLMs - Have a keen interest in AI safety and responsible deployment We welcome candidates at various experience levels, with a preference for senior engineers who have hands-on experience with frontier AI systems. However, proficiency in Python, deep learning frameworks, and distributed computing is required for this role. The annual com
Physical Security Systems Engineer
About the Team The Physical Security Engineering team designs, deploys, and sustains the systems that protect OpenAI’s people, facilities, and critical infrastructure. We work across global office campuses, warehouses, labs and data centers, partnering with IT, Facilities, Construction, and Security Operations to ensure all environments meet stringent safety, reliability, and compliance requirements. Our team owns security architecture from early site due-diligence through construction, commissioning, and long-term lifecycle management. About the Role OpenAI’s physical security technology environment is growing quickly, and the Corporate Security Technology Group needs a hands-on systems engineer who can keep the stack stable, responsive, and scalable day to day. This role is a hybrid of physical security infrastructure engineering, operational systems support, stakeholder coordination, and vendor management. It should not be framed as a badge or camera administrator role. This person will support the systems that power OpenAI’s access control, video surveillance, GSOC workflows, and physical security operations. They will troubleshoot technical issues, manage operational tickets and escalations, coordinate remediation with integrators, support system programming and audits, and partner closely with IT/NetEng and Workplace to keep systems reliable as OpenAI expands. This role is based in our San Francisco office and requires onsite presence 5 days per week. In this role, you will - Troubleshoot complex physical security system issues across access control, video management, GSOC workflows, and supporting infrastructure. - Manage operational tickets and escalations with strong follow-through, documentation, and root-cause thinking. - Coordinate service requests, remediation work, and quality control with security integrators and vendors. - Support GSOC workflows, including system access management, auditing, feature requests, and security systems programming. - Partner with networking and infrastructure teams on VLANs, firewall policies, IP schemas, switch configurations, IoT device connectivity, Windows Server, and database dependencies. - Improve operational consistency across offices by reducing manual work, documenting repeatable processes, and identifying automation opportunities. What’s success? Security Operations, GSOC, Workplace, IT, and CorpSec partners can rely on stable, accurate, and well-supported physical security systems. Issues are triaged quickly, escalations have clear ownership, vendors receive precise direction, and recurring problems turn into better documentation, process, or automation. The hire helps the team support rapid office growth without letting reliability or operational quality drift. Non-negotiable outcomes - Physical security systems issues are handled with clear triage, strong technical reasoning, and complete follow-through. - GSOC and Security Operations can depend on accurate access management, auditing, system programming, and support workflows. - Integrator and vendor work is coordinated tightly, with clear accountability and reduced back-and-forth. - Networking, server, database, and device dependencies are understood well enough to diagnose issues across the full stack. - Operational toil and vendor dependency decrease through better documentation, process improvements, and automation opportunities. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on th
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