Browse AI Jobs — Jobs in AI

11,680 results

Newest

Staff Product Engineer, Enterprise AI

Negotiable

Negotiable

ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Customer Success Manager (CSM) at Mistral, you will be responsible for managing a portfolio of enterprise customers, ensuring they achieve their goals using Mistral’s solutions. You will serve as the primary point of contact for customers, driving adoption, satisfaction, and long-term success. This role is ideal for those who excel in customer-facing environments, enjoy solving complex challenges, and are passionate about turning customer success into business impact. WHAT YOU WILL DO CUSTOMER SUCCESS OWNERSHIP - Manage a portfolio of enterprise customers, ensuring they maximize the value of Mistral’s AI solutions. - Build strong, trusted relationships with key stakeholders, understanding their business objectives and tailoring solutions to meet their needs. - Lead customer onboarding, adoption, and ongoing engagement to drive product usage and satisfaction. - Monitor customer health metrics, identify risks, and proactively address challenges to prevent churn. - Collaborate with Sales to identify upsell and cross-sell opportunities based on customer needs and usage patterns. - Partner with Product and Engineering teams to gather customer feedback and influence the product roadmap. - Develop and deliver customer training, enablement programs, and best practices to drive adoption. - Conduct regular business reviews (QBRs) to align on goals, challenges, and success metrics. STRATEGIC CUSTOMER GUIDANCE - Serve as a trusted advisor to customers, guiding them on how to leverage Mistral’s AI solutions to achieve their business outcomes. - Work closely with Support and Product teams to ensure seamless customer experiences, from deployment to production. - Create and execute customer success plans with clear KPIs, timelines, and measurable outcomes. - Advocate for customer needs internally, ensuring their voice is heard in product and strategic discussions. CROSS-FUNCTIONAL COLLABORATION - Share customer insights with Product, Sales, and Engineering teams to inform product improvements and strategic initiatives. - Clear obstacles for customers during deployment and adoption phases, accelerating time-to-value. - Support renewal processes, including contract negotiations, expansion discussions, and coordination with internal teams. WHAT WE'RE LOOKING FOR - 5+ years of experience in customer-facing roles, such as Customer Success, Account Management, or Solutions Consulting, ideally in a technical or SaaS environment. - Proven ability to manage enterprise customer relationships, with a focus on driving adoption, satisfaction, and retention. - Experience working with technical products, with the ability to engage confidently with Data, IT, and Engineering teams. - Strong communication and presentation skills, including the ability to tailor messaging for technical and executive audiences. - Business acumen: Ability to identify upsell and expansion opportunities while ensuring customer success. - Technical aptitude: Familiarity with AI/ML concepts is a plus; ability to understand and discuss technical requirements is essential. - Hands-on, customer-centric, collaborative, and organized, with a passion for solving complex challenges. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

👤 HumanFull-time

By Mistral AIJul 24, 2026

Solution Operations Manager, Value Realization

Negotiable

ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a direct Business & Operations partner to our Solutions team, including Deployment Strategists and Applied AI Engineers. You will work closely with Solutions leadership to build & scale the operating system that powers value realization across pre-sales and post-sales activities. You will translate our value vision into a scalable operating model by building automations, defining processes and ways of working, standing up KPIs and reporting, operationalising our internal ROI framework, feeding the feedback loop to capitalize on our successes, and embedding reusable value frameworks into customer engagements. This role is critical to turning our go-to-market strategy into repeatable, AI-native action, aligning delivery quality, output per FTE, and customer satisfaction to improve the efficiency and impact of our Solutions organisation and accelerate the value Mistral delivers to customers. WHAT YOU WILL DO Operating System & Automation - Build the secure-by-design operating system that links our tooling stack to the Solutions team’s needs, and design the internal tools & automations that raise output per FTE. - Streamline Deployment Strategist operations across pre-sales scoping and delivery, compounding shared knowledge, templates, and reusable IP. - Drive daily adoption of our AI layer throughout the Solutions team, productising internal work into reusable assets for the team. Value Intelligence & ROI - Operationalise the internal ROI framework per project / use case, defining and surfacing where we build value. - Define the reporting layer and metric catalog (what we collect and surface) and build the dashboards that turn our data foundation into decisions and proof of value. - Stand up the customer satisfaction measurement system (define, collect, surface) as a core input to value realization. Processes, Ways of Working & Cross-Functional Collaboration - Codify delivery playbooks, ways of working, and scaling programs end-to-end across the customer lifecycle - Partner with Revenue Growth, People Growth, RevOps, CSMs and Product & Engineering to align the operating system with company strategy and fuel the flywheel. - Ensure our operational processes are followed across geographies, embedding safety, security & compliance into our ways of working. WHAT WE'RE LOOKING FOR - 4+ years of experience in strategic operations, business operations, or a chief-of-staff role within technical sales or solutions engineering. - Strong ability to bring structure to ambiguity and drive complex, cross-functional initiatives from strategy through execution. - Proven track record in optimising processes, impacting business KPIs, and aligning resources with business priorities. - Exceptional negotiation and diplomacy skills: ability to navigate complex stakeholder dynamics and align competing priorities. - Hands-on, execution-focused mindset with a bias for action in ambiguous, fast-changing environments. - Hands-on builder of internal tools and data workflows; comfortable turning manual processes into scalable systems. - Strong analytical skills to design ROI and value frameworks, build reporting, and translate data into operational decisions. - Technical acumen and AI fluency: understanding of AI implementation, use cases, and scaling challenges. - Native-level fluency in English; additional European languages are a plus. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

👤 HumanFull-time

By Mistral AISep 7, 2026

Senior ABM & Campaign Manager

Negotiable

About the role We're hiring a Senior ABM & Campaign Manager to join our Demand Generation team. You'll own our account-based programs and the integrated campaigns that reach AI-native and digital-native companies running inference at scale. That means designing and executing campaigns from first touch to pipeline across content, digital, and the account-based experience, then shaping how we measure what works as we grow. Responsibilities - Build and own bespoke ABM programs for our top accounts, partnering with Sales on account tiering, buying group mapping, and the plays that drive marketing activation and air cover. - Design and run integrated campaigns across paid media, email, content syndication, webinars, gifting, and meeting-maker programs, connecting them into cohesive journeys rather than standalone tactics. - Partner with Field Marketing and Events on pre-event account targeting and warm-up, digital amplification, and post-event retargeting. - Develop campaign architecture, messaging, and creative across the customer journey in partnership with Product Marketing, Brand, Design, and Content, keeping positioning consistent across every campaign touchpoint. - Run continuous testing and experimentation across channels — from ad creative and landing pages to targeting and channel mix — to improve conversion and pause what isn't working. - Work with RevOps as the business owner of our demand gen and ABM stack, influencing what to evaluate, buy, or build in-house with AI tooling. - Own account penetration and pipeline contribution against new logo goals, managing campaign performance and building the reporting framework that defines what success looks like. Requirements - 6+ years in B2B demand generation, campaigns, or ABM, preferably at SaaS or AI-native/digital-first companies, with experience marketing to technical decision makers and practitioners across engineering, IT, or cybersecurity. - Proven track record building and scaling integrated campaigns across digital, events, content, and account-based channels, including where process didn't exist yet. - Deep ABM expertise across account tiering, buying group mapping, intent data, orchestration, and measurement. - Experience working with digital agencies across paid social and search. - Marketing automation and campaign operations fluency (Marketo, HubSpot, or similar) with an understanding of lead lifecycle management. - Data-driven, comfortable working in reporting tools like Hex or Tableau to interpret campaign performance and communicate it clearly to stakeholders. About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $190K - $225K + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy .

👤 HumanFull-time

By Together AISep 8, 2026

Partner Manager GSI SEUR

Negotiable

ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ROLE SUMMARY The Partnerships organization is accelerating its expansion globally. We now need the architecture to scale our delivery force through partnerships to meet the next wave of enterprise demand. This is a high-impact role offering exceptional exposure to the European market, focusing on Southern Europe (France, Belgium, Luxembourg, Iberia) and the opportunity to shape our partnership program from the ground up. You will work closely with Partnership & GTM leadership, Partner Solution Architects, and cross-functional teams to drive breakthrough co-sell motions, co-solutions, and joint go-to-market initiatives with strategic and regional partners. This is a critical hybrid responsibility: Partner management across Europe for Strategic Partners + building regional-flavored partnerships to set up the foundations for future success. In this role, you’ll report directly to the Europe GSI Director and will have functional accountability to our VP Southern Europe, playing a vital role in co-defining and executing our regional go-to-market strategy. WHAT YOU WILL DO STRATEGY & ARCHITECTURE - Architect and execute the GSI partner ecosystem model across Southern Europe, establishing high-value frameworks that align enterprise strategic goals with scalable revenue models. - Define and institutionalize multi-year strategic roadmaps with major German Systems Integrators to accelerate co-selling motions, technical alignment, and joint pipeline expansion. - Drive ecosystem vision and governance, orchestrating financial growth targets, technical solutions integration, and transformative co-marketing programs. COMMERCIAL VELOCITY - Spearhead regional partner-led revenue generation, surpassing growth targets through systematic joint deal acceleration and high-impact GTM execution. - Establish executive alignment and field resolution standards across partner networks to maximize strategic velocity and eliminate friction in large enterprise deals. - Build comprehensive performance insights and analytical models to track partnership health, ROI, and long-term ecosystem value creation. - Scale SI delivery capabilities through specialized enablement programs, ensuring partners become force multipliers for Mistral AI enterprise deployment. ECOSYSTEM INTERLOCK - Embed robust co-sell engagement rules, attribution frameworks, and deal registration workflows across the Southern Europe GTM organization to drive Tier 1 opportunity conversion. - Champion cross-functional collaboration across Solution Architects, Enablement, Marketing, and Product teams to champion seamless partnership delivery and pipeline maturity. - Lead Monthly Business Reviews and executive synchronization cadences with Southern Europe regional leadership to sustain strategic alignment. - Provide strategic feedback loops to product and engineering leadership, aligning model evolution and deployment architectures with Southern Europe enterprise needs. ABOUT YOU Education: Bachelor's degree in Business, Computer Science, Information Technology, or a related field. An MBA or advanced degree is preferred. Location: Our HQ is based in Paris, so Paris-based is preferred. Expect some travels to Europe. Experience: 10+ years, proven GSI/AE track record and experience You are a builder, added with: - Technical Credibility: Ability to understand and discuss AI/ML concepts, API integrations, and model deployment architectures. Experience with LLM platforms is a strong plus. - Executive Stakeholder Management: Experience working closely with C-level or senior leadership at partner organizations. High maturity in communication, influence, and prioritization. - Market Expertise: Strong network and understanding of the Southern Europe technology ecosystem and regional variations. - Scale and Ambiguity Mindset: Experience in fast-growing environments. Comfortable navigating ambiguity and evolving priorities. Ability to operate with high autonomy and judgment. - Industry Background: Experience in enterprise software, SaaS, AI, or infrastructure industries. Exposure to AI, data, or developer-focused products is a strong plus. - Languages: French, English fluent. Spanish would be a plus. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

👤 HumanFull-time

By Mistral AISep 8, 2026

Partner Manager GSI NEUR

Negotiable

ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ROLE SUMMARY The Partnerships organization is accelerating its expansion globally. We now need the architecture to scale our delivery force through partnerships to meet the next wave of enterprise demand. This is a high-impact role offering exceptional exposure to the European market, focusing on Northern Europe (UKI & Nordics) and the opportunity to shape our partnership program from the ground up. You will work closely with Partnership & GTM leadership, Partner Solution Architects, and cross-functional teams to drive breakthrough co-sell motions, co-solutions, and joint go-to-market initiatives with strategic and regional partners. This is a critical hybrid responsibility: Partner management across Europe for Strategic Partners + building regional-flavored partnerships to set up the foundations for future success. In this role, you’ll report directly to the Europe GSI Director and will have functional accountability to our VP Northern Europe, playing a vital role in co-defining and executing our regional go-to-market strategy. WHAT YOU WILL DO STRATEGY & ARCHITECTURE - Architect and execute the GSI partner ecosystem model across Northern Europe, establishing high-value frameworks that align enterprise strategic goals with scalable revenue models. - Define and institutionalize multi-year strategic roadmaps with major German Systems Integrators to accelerate co-selling motions, technical alignment, and joint pipeline expansion. - Drive ecosystem vision and governance, orchestrating financial growth targets, technical solutions integration, and transformative co-marketing programs. COMMERCIAL VELOCITY - Spearhead regional partner-led revenue generation, surpassing growth targets through systematic joint deal acceleration and high-impact GTM execution. - Establish executive alignment and field resolution standards across partner networks to maximize strategic velocity and eliminate friction in large enterprise deals. - Build comprehensive performance insights and analytical models to track partnership health, ROI, and long-term ecosystem value creation. - Scale SI delivery capabilities through specialized enablement programs, ensuring partners become force multipliers for Mistral AI enterprise deployment. ECOSYSTEM INTERLOCK - Embed robust co-sell engagement rules, attribution frameworks, and deal registration workflows across the Northern Europe GTM organization to drive Tier 1 opportunity conversion. - Champion cross-functional collaboration across Solution Architects, Enablement, Marketing, and Product teams to champion seamless partnership delivery and pipeline maturity. - Lead Monthly Business Reviews and executive synchronization cadences with Northern Europe regional leadership to sustain strategic alignment. - Provide strategic feedback loops to product and engineering leadership, aligning model evolution and deployment architectures with Northern Europe enterprise needs. ABOUT YOU Education: Bachelor's degree in Business, Computer Science, Information Technology, or a related field. An MBA or advanced degree is preferred. Location: London preferred. We’ve offices in London. Expect travels to Nordics (like Sweden, Denmark) & to our HQ based in Paris. Experience: 10+ years, proven GSI/AE track record and experience You are a builder, added with: - Technical Credibility: Ability to understand and discuss AI/ML concepts, API integrations, and model deployment architectures. Experience with LLM platforms is a strong plus. - Executive Stakeholder Management: Experience working closely with C-level or senior leadership at partner organizations. High maturity in communication, influence, and prioritization. - Market Expertise: Strong network and understanding of the Northern Europe technology ecosystem and regional variations. - Scale and Ambiguity Mindset: Experience in fast-growing environments. Comfortable navigating ambiguity and evolving priorities. Ability to operate with high autonomy and judgment. - Industry Background: Experience in enterprise software, SaaS, AI, or infrastructure industries. Exposure to AI, data, or developer-focused products is a strong plus. - Languages: English. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

👤 HumanFull-time

By Mistral AISep 8, 2026

Account Executive, Startups

Negotiable

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 one of the founding Startup Account Executives in EMEA, you’ll pioneer the adoption of safe, frontier AI across the region by securing strategic deals with some of the fastest growing technology companies in the world. You’ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you’ll build Anthropic's presence across EMEA's dynamic startup ecosystem, continuously refining our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. As an early member of our EMEA sales team, you'll help establish Anthropic's commercial foundation in the region while advancing the ethical development of AI technology. Responsibilities: - Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch - Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns - Spearhead market expansion by pinpointing new customer segments and use cases, collaborating cross-functionally to differentiate our offerings and sustain a competitive edge - Inform product roadmaps and features by gathering customer feedback and conveying market needs, providing insights that strengthen our value proposition and enhance the customer experience - Help define our regional GTM operations and sales methodologies by incorporating learnings into playbooks, templates, and best practices You may be a good fit if you have: - 5+ years of technical sales experience with a proven track record of driving adoption of emerging technologies with a consultative, solutions-oriented sales approach, preferably across EMEA markets - Familiarity working within complex sales cycles, selling to technical stakeholders, and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions - Success as a strategic business advisor, deeply understanding the needs of startup founders and creating innovative solutions that align with their vision and help them succeed - Exposure to negotiating complex, customized commercial agreements with multiple stakeholders - Demonstrated history of exceeding quota by effectively qualifying and advancing opportunities in a fast-paced work environment - Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives - A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player - Analytical approach to understanding customer needs combined with creative follow-up to advance opportunities - Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly - A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities - A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely 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: €155.000 - €205.000 EUR 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.

👤 HumanFull-time

By AnthropicSep 7, 2026

Enterprise Account Executive (US - West)

Negotiable

ABOUT WEAVIATE Weaviate https://weaviate.io/ is an AI startup with open source and creativity at its core. Our AI-native vector database uses machine learning to create meaningful insights from unstructured data in a completely new way. Named one of Forbes’ Top 50 AI startups, and with over a million monthly downloads, Weaviate is quickly growing in popularity with developers and enterprises alike. Our team members work remotely across the globe with the flexibility to work from anywhere and at any time. Our people experience this as a massive benefit! Operating with a strong sense of ownership and collaboration, our teams prioritize results while empowering each individual to do their best work. About this role - Full Sales Lifecycle: Manage the end-to-end sales process - from initial outreach and lead qualification to complex contract negotiations and closing. - Territory Strategy: Develop and execute a strategic plan to penetrate key industries (Finance, E-commerce, Healthcare, etc.) within the region. - Solution Selling: Conduct deep discovery to understand prospect pain points and demonstrate how Weaviate’s vector search and AI features provide a competitive edge. - Community Engagement: Work closely with our Developer Relations and Marketing teams to leverage our massive open-source community as a source of enterprise opportunities. - Pipeline Management: Maintain accurate forecasts and CRM records (Salesforce/HubSpot) to ensure predictable revenue growth. What we are looking for - Experience: 4+ years of B2B SaaS sales experience, preferably in infrastructure, databases, or AI/ML. - US (West) Expertise: Proven track record of hitting and exceeding quotas within the US West Coast market, including familiarity with regional procurement and legal nuances. - Technical Fluency: You do not need to be a developer, but you should be able to comfortably discuss APIs, LLMs, vector embeddings, and cloud architecture (AWS/GCP/Azure). - Communication: Exceptional verbal and written communication skills in English. - Mindset: A 'builder' mentality. You thrive in the ambiguity of a fast-growing startup and enjoy creating your own playbooks. - Training in sales methodologies (e.g., MEDDIC, SPIN, Challenger) is highly desirable. - Quick learner with high emotional intelligence (EQ) and the ability to influence key stakeholders. - Passionate about advancing your career in enterprise sales and deepening your knowledge of our products. - Aligned with our company values and culture. WHAT WE OFFER - 100% remote with flexible work hours. - Competitive compensation, including paid time off https://weaviate.io/company/playbook/taking-time-off-at-weaviate. - Budget available to spend on going to conferences, co-working space, home office equipment, etc. - Work with very experienced and fun team members. - An atmosphere that encourages learning and personal growth, and that gives you lots of freedom, flexibility, and responsibilities. - You will work at the forefront of search, ML/AI, and cloud-native technologies - and all of it is open source. ARE YOU INTERESTED? Have a look at this page https://weaviate.io/company/careers#interview-process to learn what you can expect from our interview process. Be aware that conducting a background check is part of our onboarding. If you’re interested in Weaviate and this role, please apply through this vacancy. We’ll be in touch in response to your application. This way, we can ensure you have the best experience while allowing our team to focus on doing their best work.

👤 HumanFull-time

By WeaviateSep 7, 2026

Forward Deployed Engineer (Inference & Post-Traini...

Negotiable

About the role As a Forward Deployed Engineer (FDE) focused on Inference & Post-Training, you will be a hands-on technical partner to our most strategic customers — production AI teams looking to leverage high quality models and do inference at scale. For us, FDE is not a replacement for a Solutions Architect; you will partner with our SAs as a deep-domain specialist in inference optimization, fine-tuning pipelines, and production deployment. As key contributors to both the CX, Engineering, and Sales organizations, FDEs add tremendous value by ensuring we can meet the requirements of our most complex POCs, facilitate successful platform adoption, and guide tailored optimization efforts — directly impacting customer success, company growth, and the hardening of our core platform. Responsibilities - Inference Engine Optimization: Select, configure, and optimize inference engine based on hardware, model architecture, and workload profile - Configuration & Performance Tuning: Develop configuration updates to win critical POCs, benchmarks, and optimize customer deployments; tune KV cache, apply speculative decoding, determine optimal tensor parallelism, and determine quantization strategy to hit throughput and latency targets. - Post-Training & Fine-Tuning: Drive hands-on RL training runs and optimize system design; guide customers through LoRA, SFT, DPO, RLHF, and GRPO pipelines from experimentation through production. - Strategic Customer Alignment: Act as the primary technical point of contact for aligned strategic accounts — monitoring and optimizing endpoint configurations, helping customers get the most out of the platform, and collaborating to ensure we hit critical milestones. - Opinionated Onboarding: Establish direct alignment with strategic customers at onboarding; ensure the right inference and post-training configurations are in place from day one to improve time-to-value. - Product Feedback Loop: Directly influence our software and model roadmap by surfacing insights from the field. Contribute back to the product where needed to support customer requirements or drive a better experience. Drive early feature and research adoption with strategic logos. Qualifications - Experience: 5+ years in a technical role, with a strong focus on inference systems, open-source LLM deployment, or post-training workflows. - Inference Engine Depth: Expert-level, hands-on experience with inference engines (e.g., vLLM, TensorRT-LLM, SGLang); ability to diagnose and resolve performance issues at the engine level. - Inference Optimization: Deep knowledge of KV cache tuning, speculative decoding, tensor parallelism, pipeline parallelism, and quantization techniques - Post-Training Knowledge: Hands-on experience with fine-tuning and post-training pipelines, including LoRA, SFT, DPO, RLHF, and GRPO; ability to advise on system design - Model Landscape Awareness: Broad knowledge of state-of-the-art open-source models and strong judgment on model selection for specific customer use cases, hardware profiles, and performance targets. - Coding Proficiency: Strong Python skills; comfortable working in production environments About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Compensation We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $270,000 - $300,000 OTE + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our Privacy Policy at https://www.together.ai/privacy

👤 HumanFull-time

By Together AIMay 7, 2026

Data Scientist

Negotiable

👤 HumanFull-time

By Mistral AIJul 8, 2026

Applied AI Architect

Negotiable

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 Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: - Partner with account executives across Australia to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation - Serve as the primary technical advisor to enterprise customers across Australia throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success - Support customers building with both the Claude API and Claude for Work - Create and deliver compelling technical content tailored to different audiences across Australia. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives - Guide technical architecture decisions and help customers across Australia integrate Claude effectively into their existing technology stack - Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases - Identify common integration patterns and contribute insights back to our Product and Engineering teams - Travel occasionally to customer sites for workshops, technical deep dives, and relationship building - Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: - 10+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager - Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders - Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more - Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders - Experience designing scalable cloud architectures and integrating with enterprise systems - Comfortable with python - Familiarity with common LLM frameworks and tools or a background in machine learning or data science - Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities - A love of teaching, mentoring, and helping others succeed - Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities - Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems 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.

👤 HumanFull-time

By AnthropicFeb 12, 2026

Solutions Architect, Metronome (AI Native)

Negotiable

About Us Metronome is the leading usage-based billing platform built for modern software companies. With Metronome, now a Stripe product, companies can launch products faster, offer any pricing model, and streamline finance workflows without writing code. Our platform computes hundreds of millions of invoices per billing period and continues to scale rapidly to accommodate new customers. We save them days of development time and manual invoicing, enabling them to use their billing data to better serve their customers. Our customers love our product and approach, and we’re humbled to work with amazing companies like OpenAI, Anthropic, NVIDIA, TogetherAI, HuggingFace, and many others. You'll be joining an experienced team that includes founders who have successfully built and sold startups before. Our Stripes have direct experience building and scaling teams through massive growth at companies like Dropbox, Palantir, and MongoDB. You'll be joining Stripe and be part of the holistic Stripe platform approaching monetization. About the Role The Metronome AI Native Solutions team operates at the intersection of technical sales, implementation, and customer success, purpose-built for the velocity and unique needs of AI-first companies. Unlike traditional sales engineering roles, this position owns the large parts of if not all of the deal cycle - from first call through technical win - and gets hands-on with implementation to ensure customers go live quickly. As an AI Native Solutions Architect, you'll be the primary technical owner for fast-moving AI companies that may need to launch usage-based billing on tight timelines. This means: Owning the technical win: - Taking qualified inbound leads and driving them through discovery, demo, POC, and technical win - Using efficient discovery to quickly understand billing challenges, product launch timelines, and technical requirements - Bringing energy and urgency to every engagement—proactively driving deals forward, identifying blockers early, and building relationships across the customer organization (engineering, finance, product) to create champions - Running streamlined demos tailored to technical founders and product/engineering teams Driving hands-on implementation: - Providing customers with clear, actionable implementation plans to implement their usage-based billing launches - Writing code snippets, configuration examples, and integration guides to accelerate customer time-to-value - Pair programming or working alongside customer teams during POCs and initial setup - Designing up/downstream integrations into prospect systems with a bias toward pragmatic solutions that get them live quickly Building deep AI market expertise: - Building relationships with technical founders, engineering leaders, product, and finance teams at AI companies - Understanding the unique monetization challenges facing LLM providers, generative AI companies (image, video, audio), and AI tooling/wrapper companies and providing consultative guidance when prospects need direction on pricing and packaging strategy and implementation - Staying current on AI industry trends, pricing models, and competitive dynamics This role is perfect for someone who thrives in high-velocity environments, loves solving technical problems in real-time, and wants to be on the front lines of how AI companies monetize their products. Metronome directly influences how the next generation of AI infrastructure gets built—and our AI Native Solutions team drives this influence with our fastest-growing customer segment. The Metronome team still operates very much like a startup. As such, there's a lot still to figure out and tremendous room for high-agency, curious individuals to impact our direction and strategy, build processes from zero to one, and generally make a difference. If this excites you as much as it excites us, let's talk. Qualifications This is roughly the set of things we’re looking for - if you’re interested in this role and don’t meet some of these on paper, err on the side of applying! - 3+ years of experience in technical, customer-facing roles involving SaaS products (for example, sales engineering, solutions architecture, technical account management, implementation consulting) - 1+ years of experience working with, at, or selling to AI companies - you understand how AI-first companies operate, their unique challenges, and the market landscape - Proven ability to own and drive customer-facing engagements and relationships independently - Strong technical aptitude with the ability to quickly learn new systems, write code snippets, and guide technical implementations - Experience working in high-velocity environments where speed-to-value matters and customers need to launch quickly - Excellent communication skills with technical buyers (engineers, product managers, technical founders) Bonus Points - Deep knowledge of the quote-to-cash space, including integrating with or otherwise interacting with tools like Salesforce, NetSuite, CPQs, etc. - Experience as a software engineer, product manager, or in other technical roles. - Experience in a pure sales role, particularly selling to technical buyers in engineering and product organizations or selling as a founding or early salesperson at a startup. - Familiarity and enthusiasm for AI developer tooling (Cursor, Lovable, Vercel, LangChain, etc.) and the broader AI infrastructure ecosystem

👤 HumanFull-time

By StripeSep 8, 2026

Applied Science Intern

Negotiable

As an Applied Science Intern, you will join a cross-functional team of engineers and applied scientists building AI-powered features within the Datadog platform. You will contribute to both existing and new products by improving machine learning models, developing new AI capabilities, and helping bring research into production. Working closely with engineering and product partners, you'll gain hands-on experience deploying AI systems at scale while strengthening your product mindset, collaboration, and communication skills. You'll also have opportunities to contribute to cutting-edge research that directly powers customer-facing features. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: - Design solutions for AI use cases by researching and benchmarking state-of-the-art models to identify the best approach - Build highly scalable product features using generative AI, machine learning algorithms, and statistical techniques - Contribute to the development, deployment, monitoring, and maintenance of production AI models, services, and infrastructure - Explore, analyze, and derive insights from the large-scale observability data flowing through Datadog systems - Participate in technical knowledge sharing by presenting recent academic research and investigating emerging model architectures to improve existing and future products - Collaborate with engineering and product teams to productionize AI solutions and deliver customer-facing features Who You Are: - You will graduate in 2027 with a degree in Machine Learning, Artificial Intelligence, Statistics, Computer Science, or a related field - You have experience building machine learning models through coursework, research, internships, or personal projects - You have strong programming skills and are eager to learn new languages and technologies - You communicate complex technical concepts clearly to both technical and non-technical audiences - You have a strong interest in artificial intelligence, machine learning, and data-driven product development - Available to complete a 6-month internship beginning in February, March, April, May, or June 2027 (we are unable to accommodate internships starting at any other time) Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply. Benefits and Growth: - Work on meaningful technical challenges alongside engineers across the globe - Participate in mentorship and buddy programs designed to support learning and development - Join an in-person intern cohort, attend company social events, and engage with Datadog Community Guilds and employee resource groups throughout the internship - Receive relocation support and travel benefits where applicable - Enjoy office perks including snacks, drinks, and catered lunches on Monday, Wednesday, and Friday Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. Please ensure that you submit your CV/resume in English. If possible, please apply using your personal email address instead of your university email address. Students can sign up for a free Datadog Pro account to learn more about our platform and products. LI-Hybrid About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines .

👤 HumanContract

By DatadogSep 8, 2026

Senior Customer Engineer, LATAM - MCR Bogotá, Colo...

Negotiable

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Customer Engineer- Bogotá, Colombia. About the Role Cloudflare is on a mission to help build a better Internet. As enterprise solutions become more complex, Cloudflare is evolving how they partner with customers. The Customer Engineer (CE) drives the technical go-to-market strategy. You act as a trusted advisor who owns the technical relationship from first discovery to long-term adoption and account growth. Team: GTM (Go-To-Market) organization Reports to: Regional Customer Engineering Leader Structure: You do not hand off customers after the initial sale. Role Type: Quota-carrying technologist using AI workflows to cut down on busywork and focus on high-value architecture. Key Responsibilities Technical Validation: Partner with Account Executives to lead technical discovery, build custom architectures, and run product demos and Proof of Concepts (PoCs) for Security, Networking, and Developer Platforms. Customer Adoption & Value Realization: Oversee technical onboarding and implementation. Serve as the main contact for the customer. Monitor health scores and telemetry to speed up time-to-value and fix bottlenecks. Commercial Accountability & Expansion: Carry a variable quota tied to new business and account growth. Lead technical Quarterly Business Reviews (QBRs) to show return on investment (ROI) to executives. Trusted Advisory: Maintain deep relationships with key stakeholders through every stage—onboarding, maturity, renewal, and expansion. AI Orchestration & Workflow Automation: Act as an AI-augmented engineer. Use AI agents to automate routine tasks like RFP responses, sandbox provisioning, and basic telemetry monitoring. Minimum Qualifications Experience: Background in a customer-facing technical role like Solutions Engineering or Sales Engineering (leveling varies by experience). Technical Acumen: Expertise in web security, networking (DNS, routing, DDoS mitigation), cloud infrastructure, and enterprise architecture. Commercial Mindset: Track record in a quota-carrying or revenue role with knowledge of SaaS metrics and enterprise sales cycles. Communication: Strong presentation skills to bridge deep tech details with C-suite business strategy. Strongly Preferred Qualifications (Good-to-Haves) Cloudflare AI Stack Experience: Hands-on work with Cloudflare's developer platform and AI tools (Workers AI, AI Gateway, Vectorize) [15]. Applied AI Knowledge: Experience with prompt engineering, LLM orchestration, or RAG architectures. Coding/Scripting: Proficiency in Python, JavaScript, or similar languages for custom integration scripts and API connectors. Compensation Competitive base salary Variable commission structure tied to commercial targets, adoption milestones, and account expansion What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

👤 HumanFull-time

By CloudflareSep 8, 2026

Senior Customer Engineer, LATAM - MCR (Santiago, C...

Negotiable

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Customer Engineer- Santiago, Chile. About the Role Cloudflare is on a mission to help build a better Internet. As enterprise solutions become more complex, Cloudflare is evolving how they partner with customers. The Customer Engineer (CE) drives the technical go-to-market strategy. You act as a trusted advisor who owns the technical relationship from first discovery to long-term adoption and account growth. Team: GTM (Go-To-Market) organization Reports to: Regional Customer Engineering Leader Structure: You do not hand off customers after the initial sale. Role Type: Quota-carrying technologist using AI workflows to cut down on busywork and focus on high-value architecture. Key Responsibilities Technical Validation: Partner with Account Executives to lead technical discovery, build custom architectures, and run product demos and Proof of Concepts (PoCs) for Security, Networking, and Developer Platforms. Customer Adoption & Value Realization: Oversee technical onboarding and implementation. Serve as the main contact for the customer. Monitor health scores and telemetry to speed up time-to-value and fix bottlenecks. Commercial Accountability & Expansion: Carry a variable quota tied to new business and account growth. Lead technical Quarterly Business Reviews (QBRs) to show return on investment (ROI) to executives. Trusted Advisory: Maintain deep relationships with key stakeholders through every stage—onboarding, maturity, renewal, and expansion. AI Orchestration & Workflow Automation: Act as an AI-augmented engineer. Use AI agents to automate routine tasks like RFP responses, sandbox provisioning, and basic telemetry monitoring. Minimum Qualifications Experience: Background in a customer-facing technical role like Solutions Engineering or Sales Engineering (leveling varies by experience). Technical Acumen: Expertise in web security, networking (DNS, routing, DDoS mitigation), cloud infrastructure, and enterprise architecture. Commercial Mindset: Track record in a quota-carrying or revenue role with knowledge of SaaS metrics and enterprise sales cycles. Communication: Strong presentation skills to bridge deep tech details with C-suite business strategy. Strongly Preferred Qualifications (Good-to-Haves) Cloudflare AI Stack Experience: Hands-on work with Cloudflare's developer platform and AI tools (Workers AI, AI Gateway, Vectorize) [15]. Applied AI Knowledge: Experience with prompt engineering, LLM orchestration, or RAG architectures. Coding/Scripting: Proficiency in Python, JavaScript, or similar languages for custom integration scripts and API connectors. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

👤 HumanFull-time

By CloudflareSep 8, 2026

Manager, AI-Enabled Business insight

Negotiable

Manager, AI-Enabled Business insight at Organon. Femtech Insider network role. Industry tags: Community and Lifestyle, Drug Discovery, Drug Manufacturers - General, Health Care, Healthcare, Medical Device, MedTech, Other Healthcare Services, Pharma, Pharmaceutical Manufacturing, Pharmaceutical Preparations, Pharmaceuticals. Locations: Shanghai, China. Work mode: on site.

👤 HumanFull-time

By OrganonSep 8, 2026

Product Manager (HR Technology) Intern

Negotiable

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . This is a 12-week internship during summer 2027. We're hiring a Product Manager Intern to join the HR Technology team within People Success and help drive key initiatives across our HR Technology ecosystem, from evaluating AI-powered tools to automating core processes and strengthening our security foundation. You'll ship real products, partnering with HR, IT, and Security stakeholders to design and deliver tools that transform how our employees work. You'll own projects end-to-end and gain hands-on experience on a team building an AI-native HR organization. What you'll do: - Own a product initiative from discovery to launch, including build vs. buy analysis, workflow redesign, or feature adoption for a new HR Technology tool - Partner with HR, IT, Security, and vendor teams to define requirements, gather user feedback, and align stakeholders on product priorities - Drive the evaluation and piloting of generative AI agents for HR teams, defining success metrics and tracking ROI for AI-powered tools - Map existing workflows, identify bottlenecks, and implement automated solutions using our HRIS, applicant tracking system, and enterprise collaboration platforms - Analyze product metrics and user data to measure impact, inform decisions, and communicate results to leadership Required Skills and Experience: - Currently pursuing a degree in Computer Science, Engineering, Management Information Systems, Business, Human-Computer Interaction, or a related field, or have equivalent experience - Demonstrated analytical and problem-solving ability, such as structuring ambiguous problems into clear action plans in academic projects, case competitions, or prior internships - Hands-on experience with AI tools, prompt engineering, or low-code/no-code platforms (e.g., building automated workflows, prototyping with LLM-based applications, or working with APIs) - Proven ability to manage a project from start to finish, including defining scope, tracking milestones, and delivering outcomes on deadline - History of proactively identifying problems and proposing solutions, such as surfacing process gaps, pitching improvements, or initiating projects without being asked, in academic, extracurricular, or professional settings - Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Position ID: P78053 LI-Hybrid Pay Transparency Notice: Depending on your work location, the target hourly rate for this position can range as detailed below. Hourly Rate: $50 - $50 USD - Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. - Equal Opportunity Employer: Coinbase 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, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. - US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation. - Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial . - Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .

👤 HumanContract

By CoinbaseSep 8, 2026

Machine Learning Engineer Intern

Negotiable

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . This is a 12-week internship during summer 2027. You'll join Coinbase's Machine Learning team and work alongside senior engineers building ML models and pipelines that make our platform more secure, personalize user experiences, and unlock new use cases for crypto. As an MLE intern, you'll take ownership of a research-to-production project, applying cutting-edge ML techniques to real-world problems at blockchain scale. What you'll do: - Develop, deploy, and operate machine learning models and pipelines at production scale - Drive an end-to-end research project applying modern ML techniques to solve a defined business problem - Partner with senior engineers and product teams to identify new ML applications for blockchain and crypto use cases - Present findings and recommendations to cross-functional stakeholders at the conclusion of your internship Required Skills and Experience: - Currently pursuing a Ph.D. with published or in-progress research in machine learning, deep learning, or a closely related field - Demonstrated proficiency building and training models using ML frameworks such as PyTorch or TensorFlow - Experience applying ML techniques including supervised learning, unsupervised learning, or reinforcement learning to structured or unstructured datasets - Familiarity with software engineering fundamentals including version control, testing, and writing production-quality Python code - Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Req ID: P78143 LI-Hybrid Pay Transparency Notice: Depending on your work location, the target hourly rate for this position can range as detailed below. Hourly Rate: $60 - $60 USD - Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. - Equal Opportunity Employer: Coinbase 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, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. - US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation. - Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial . - Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .

👤 HumanContract

By CoinbaseSep 8, 2026

Child Safety Enforcement Specialist

Negotiable

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe achieving this goal requires real-world deployment and continuous iteration based on how our products are used—and misused—in practice. The Child Safety team is responsible for detection, review, and enforcement of OpenAI’s Child Safety product policies. We leverage a balanced use of technology and subject matter expertise to scale our operations. We collaborate with internal legal, research, and policy teams, external experts, and other industry stakeholders to keep OpenAI aligned with evolving regulations and industry best practices around child safety. About the Role As a Child Safety Enforcement Specialist on the Intelligence & Investigations, you independently lead defined child safety investigations and projects from triage through documented outcome. You apply strong working knowledge of policy and investigative practice, surface trends in abuse signals, recommend evidence-based mitigations, and coordinate with partners to deliver reliable safety outcomes. The role includes sensitive content review and may involve supporting quality and workflow improvements. You’ll be responsible for: This role supports child safety investigations, enforcement, reporting, and process improvement. The work includes significant review of sensitive content and analysis of user behavior. This role independently owns defined projects, aligns with cross-functional priorities, and escalates complex legal or policy questions through established channels. In this role, you will: - Independently review and investigate child safety content and behavior, including CSAM and grooming signals, applying policy consistently and documenting evidence and rationale. - Lead well-defined high-risk escalations end to end; anticipate blockers, communicate progress, and make or recommend enforcement decisions within policy and escalation boundaries. - Identify potential mandatory-reporting cases and prepare accurate, timely NCMEC CyberTip reports through approved legal and operational review flows. - Analyze case and detection data to identify patterns, quality gaps, and emerging abuse trends; propose practical, data-informed improvements to investigative workflows and tooling. - Collaborate with Legal, Policy, Product, Engineering, and operations partners to implement scoped mitigations, resolve dependencies, and clearly communicate findings and outcomes. You might thrive in this role if you have: - Experience investigating child safety abuse or comparable Trust & Safety issues, with sound judgment in sensitive content review and enforcement - Ability to independently own defined investigative projects, anticipate obstacles, and deliver high-quality, clearly documented outcomes - Working knowledge of NCMEC CyberTip reporting workflows and the judgment to escalate legal or policy uncertainty appropriately - Ability to identify patterns in case or detection data, recommend practical mitigations, and communicate progress and findings to cross-functional partners - Comfort using investigative tools and data; SQL, statistics, or technical collaboration experience is a plus, while engineering 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.

👤 HumanFull-time

By OpenAISep 8, 2026

Enablement Specialist, Perplexity Computer

Negotiable

Perplexity is seeking an Enablement Specialist to help enterprise customers build the knowledge, confidence, and repeatable practices required to reach value with Perplexity Computer. This role is ideal for someone who combines technical fluency, strong facilitation, and a track record of building onboarding and adoption programs that scale. About the role Perplexity Computer enables customers to build AI-powered workflows that navigate tools, interact with applications, and complete multi-step work. Helping organizations adopt this new way of working requires more than a product demonstration or one-time kickoff. Enablement Specialists design and deliver the programs that move customers from initial access to confident, sustained use. You will create onboarding journeys for different levels of readiness, lead customer workshops and office hours, diagnose adoption barriers, and turn repeated questions into scalable guidance. This is a customer-facing role that works closely with Customer Success, Applied AI Architects, Product, Marketing, and Support. Customer Success retains ownership of the account, adoption strategy, and expansion strategy; you will own the enablement programs and interventions that help customers and customer success managers become self-sufficient. What you'll do - Design customer journeys. Build onboarding and adoption programs for customers and user cohorts with different roles, goals, technical readiness, and levels of AI experience. - Deliver high-quality enablement. Lead technical kickoffs, workshops, office hours, remote sessions, onsite programs, webinars, and train-the-trainer experiences. - Make complex concepts accessible. Teach Computer and agentic-workflow concepts clearly to both technical and nontechnical audiences. - Guide customers through setup. Help customers understand access, members, permissions, connectors, credits, models, initial workflows, and the practices required to get started. - Diagnose adoption barriers. Determine whether a customer is blocked by knowledge, readiness, process, configuration, product capability, or technical complexity. - Route complex needs well. Recognize when a question requires an Applied AI Architect, Customer Success, Support, Product, or Engineering and provide a clear handoff. - Create scalable assets. Turn repeated onboarding and adoption needs into curricula, customer checklists, implementation guidance, lifecycle communications, videos, examples, and internal enablement. - Use evidence to increase adoption and consumption. Segment customers by readiness and usage behavior, identify where consumption stalls, deliver targeted interventions, and measure activation, time to first value, repeat usage, sustained credit consumption, and program effectiveness. - Build the learning loop. Bring customer patterns and feedback back to Applied AI, Product, Customer Success, Marketing, and Support. What we're looking for The strongest Enablement Specialists can teach, diagnose, and design for scale. You should be able to run a compelling customer session, understand the technical details behind a blocker, and build a repeatable program rather than solving the same problem one customer at a time. Must-haves - 4+ years in technical onboarding, customer enablement, implementation, solutions consulting, customer education, or a technically oriented Customer Success role. - Proven program-building experience. You have designed and delivered onboarding, training, or adoption programs across live and self-service formats. - Strong facilitation and communication. You can explain complex product and AI concepts clearly to technical and nontechnical audiences. - Technical fluency. You can guide customers through permissions, connectors, models, credits, workflows, and common integration concepts. - Strong diagnostic judgment. You can determine whether a customer is blocked by education, readiness, process, configuration, product capability, or technical complexity. - Data-informed growth mindset. You have used product and usage data to identify adoption gaps, trigger interventions, move customer cohorts toward sustained use, and evaluate impact. - Cross-functional operating ability. You can work effectively with Customer Success, Sales, Product, Marketing, Support, and technical teams. - High ownership. You set clear expectations, improve weak processes, and operate effectively in a fast-moving environment. Nice-to-haves - Experience with AI products, agentic workflows, enterprise SaaS, or other technically complex platforms. - Experience building technical onboarding or adoption programs for enterprise customers. - Background in adult learning, instructional design, customer education, or enablement operations. - Experience using product and usage data to trigger interventions and measure activation, time to value, and sustained engagement. - Experience developing customer-facing technical content, workshops, or certification programs.

👤 HumanFull-time

By PerplexitySep 8, 2026

Program Manager, Strategic Futures

Negotiable

ABOUT THE TEAM The Strategic Futures team is a small, research- and writing-focused group exploring how advanced AI could reshape public policy, institutions, and society over the long term. We operate like an internal think tank: developing clear views of desirable long-range outcomes, examining the choices that could make those outcomes more likely, and producing ideas that help OpenAI and the broader public navigate profound technological change. The team is intentionally lean and highly collaborative. Our work draws from public policy, law, economics, political science, history, institutional design, technology, and other relevant disciplines. We partner closely with experts across OpenAI to connect long-range thinking with evolving AI capabilities, organizational priorities, and real-world policy questions. ABOUT THE ROLE We are looking for a highly organized and strategic operator to serve as Chief of Staff and Program Manager for the Strategic Futures team. Working closely with the team’s leader, you will translate broad priorities into coordinated execution, establish the systems and operating rhythms that keep a small team performing at a high level, and ensure important work moves forward with clarity and consistency. This is a hands-on role combining chief-of-staff partnership, program management, strategic planning, cross-functional coordination, and communications. You will make it easier for the team to focus on high-quality research and writing by ensuring priorities are clear, decisions are documented, dependencies are visible, collaborators are engaged, and follow-through is reliable. You will also serve as a central connector between Strategic Futures and teams across OpenAI, helping the group build trusted relationships, navigate organizational complexity, and contribute effectively to broader company priorities. IN THIS ROLE, YOU WILL: - Partner closely with the leader of Strategic Futures to translate the team’s strategic direction into clear priorities, operating plans, and concrete deliverables. - Own team-wide planning and execution across research projects, publications, cross-functional collaborations, public-facing work, and special initiatives. - Convert open-ended goals into structured workplans with clear outcomes, owners, milestones, timelines, dependencies, and decision points. - Develop and maintain lightweight operating systems, including team roadmaps, project trackers, meeting cadences, decision logs, risk registers, and publication or launch plans. - Establish operating rhythms that give the team appropriate visibility and accountability without creating unnecessary process. - Coordinate work across Global Affairs, Legal, Research, product policy, safety, preparedness, Communications, and other relevant teams. - Build productive relationships with internal partners and help ensure Strategic Futures has a clear and consistent presence across the organization. - Prepare executive-ready briefings, strategic updates, presentations, agendas, decision documents, talking points, and other written materials. - Plan and run effective team and cross-functional meetings, ensuring participants are prepared, decisions are captured, and action items are completed. - Anticipate potential bottlenecks, gaps, and competing priorities, and proactively develop solutions that keep work moving. - Maintain visibility across the team’s portfolio and help the team leader make informed prioritization and resource-allocation decisions. - Coordinate internal review and approval processes for research, publications, presentations, and other public-facing work. - Support external engagements, convenings, and public communication when appropriate. - Develop AI-enabled workflows that improve project management, knowledge sharing, information synthesis, coordination, and team effectiveness. - Help define and evolve the team’s operating model, norms, and ways of working as Strategic Futures grows. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have 5 or more years of experience in chief-of-staff roles, program management, strategic operations, research operations, consulting, policy, communications, or a related field. - Have demonstrated success driving complex initiatives involving multiple stakeholders, functions, and competing priorities. - Bring exceptional organizational skills and the ability to create clarity, momentum, and accountability in an ambiguous environment. - Can move fluidly between strategic questions and detailed execution, from helping shape a team-wide priority to ensuring the next meeting has the right pre-read and decision-maker. - Know when a new process or system will improve execution—and when it would simply add unnecessary overhead. - Are energized by helping highly independent researchers and writers do their best work. - Are an excellent writer and synthesizer who can turn complex discussions into clear decisions, plans, briefings, and communications. - Build trusted relationships across policy, legal, communications, product, safety, and technical research teams. - Can engage credibly with subject-matter experts without needing to be the deepest expert in every discipline. - Exercise excellent judgment and discretion when working on sensitive, high-visibility, or still-developing initiatives. - Proactively identify what needs to happen next rather than waiting for detailed direction. - Bring high ownership, strong attention to detail, low ego, and a consistent bias toward action. - Are comfortable operating in a fast-moving organization where priorities may evolve as AI capabilities and external conditions change. - Have strong interest in advanced AI and its long-term implications for public policy, governance, institutions, and society. - Are proficient with AI tools and can apply them thoughtfully to operational workflows, research synthesis, knowledge management, and coordination. IT WOULD BE NICE IF YOU: - Have worked in AI policy, emerging technology, government, public affairs, a think tank, a research organization, or another intellectually intensive environment. - Have supported a senior leader while simultaneously owning a broader portfolio of programs and team operations. - Have experience coordinating research publications, external communications, public events, or other high-visibility outputs. - Have helped establish or scale the operating model of a new team, organization, or function. - Are familiar with the organizational and policy questions surrounding advanced AI. LOCATION This role is based in San Francisco. 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.

👤 HumanFull-time

By OpenAISep 8, 2026

Engineering Manager, Client Platform Engineering

Negotiable

About the Team OpenAI’s Client Platform Engineering (CPE) team delivers trusted devices at scale: secure by default, reliable by design, and effortless to use. We own platform capabilities across macOS, Windows, iOS, Android, and Linux, spanning endpoint posture and device trust, application delivery, onboarding, updates, telemetry, workflow orchestration, and employee-facing remediation. The team partners deeply with Security, Research, Applied, and specialized engineering groups to enable and protect OpenAI while reducing friction for the people advancing our mission. About the Role As an Engineering Manager for CPE, you will lead a team of engineers responsible for the strategy, delivery, and operation of OpenAI’s cross-platform client foundation. You will combine people leadership with strong technical judgment: setting direction, developing engineers, reviewing architecture and tradeoffs, and creating the operating mechanisms that turn ambiguous needs into durable platform outcomes. This is a high-leverage role at the intersection of security, reliability, developer velocity, and employee experience. CPE is a highly technical platform engineering organization delivering first-party services, automation, observability, and safe fleet operations. We’re looking for a leader who can guide its next chapter, scaling the team and its systems, partnering across the company, and raising the bar for secure, reliable, low-friction experiences across every supported platform. In this role, you will: - Lead and develop a high-performing engineering team; hire thoughtfully, coach engineers, create clarity, and foster an inclusive, high-accountability culture that pushes perceived limits. - Define and execute a multi-year client-platform strategy and roadmap across macOS, Windows, iOS, Android, and Linux, including how Codex and agents can reshape employee computing. - Provide technical direction for endpoint posture, device trust, application delivery, device onboarding, updates, fleet telemetry, workflow orchestration, and employee-facing remediation. Lead the team to rethink the platform from first principles as Codex and agent capabilities advance: what software needs to be built, what agents can own end to end, and which employee workflows no longer need to exist. - Guide architecture and engineering tradeoffs across first-party services, open-source tooling, SaaS platforms, IaC/GitOps, CI/CD, and cloud infrastructure. Decide what to build, buy, standardize, retire, or redesign as AI changes what the platform can do. - Establish clear goals, ownership, planning, design reviews, and execution rhythms that let the team move quickly without sacrificing quality. - Raise the bar for reliability and evidence-backed security through observability, drift detection, staged rollouts, release gates, rollback paths, incident learning, runbooks, and healthy operational ownership. Use telemetry to see friction, measure outcomes, and improve before issues become tickets. - Partner with Security, IT, Research, Applied, Product, and specialized engineering teams to align priorities and land company-wide changes, dogfood OpenAI products in real employee workflows, and continuously improve internal platforms. - Balance strong security and compliance controls with developer velocity, employee experience, and operational simplicity. Define where agents can act, where humans approve, and how actions are evaluated, audited, and reversed. - Use adoption, reliability, evidence-backed security posture, data freshness, employee experience, workflow completion, friction, agent effectiveness, and operational-load metrics to steer investment and communicate impact. - Partner with IT and Security teams to compound CPE’s impact across employee experience, security posture, and operational scale. You may be a fit for this role if you have: - Built and led teams that owned secure, reliable, mission critical services and infrastructure at scale, from strategy through production operations. - Delivered internal platforms, tooling, and services that materially improved reliability, security, and employee experience. - Made sound software and infrastructure engineering decisions at scale. Deep endpoint expertise is strongly preferred. - Raised production readiness through direct technical review of architecture, automation, code, IaC/GitOps, CI/CD, observability, and operational tradeoffs. - Operated infrastructure with material security or identity risk through staged rollouts, incidents, and decisions that balanced risk, compliance, and employee or developer experience. - Committed to joining the team’s engineering on call rotation after ramp up and using firsthand operational context to improve reliability and reduce toil. - Built inclusive teams that do excellent work, communicated with clarity and candor, and influenced partners across Security, IT, and Product/Engineering. You might thrive in this role if you have: - Deep experience with one or more client-platform tool ecosystems such as Jamf, Intune, Android Enterprise, FleetDM/osquery, Munki/AutoPkg, or Linux configuration management. - Experience building internal platforms or services for app delivery, device posture/trust, onboarding, notifications, workflow orchestration, or fleet telemetry. - Familiarity with cloud infrastructure, Terraform, Kubernetes/containers, service orchestration, and large-scale observability. - Experience partnering with security, compliance, or privacy teams in high-assurance environments. - Experience supporting research, developer, robotics, hardware-lab, or other specialized computing environments. - A record of contributing to open-source tooling, engineering communities, or cross-company technical standards. This role is based in San Francisco, CA. We offer relocation assistance to new employees. 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.

👤 HumanFull-time

By OpenAISep 8, 2026

Economic Development Lead

Negotiable

Negotiable

👤 HumanFull-time

By AnthropicSep 8, 2026

Negotiable

About the Team The mission of the Applied AI Engineering team is to enable the secure and impactful implementation of GenAI solutions. We serve as technical thought partners and trusted advisors to our clients, ideating high-value use cases and providing the hands-on guidance necessary to drive projects into production. In this role within the Government team, you will empower agencies to evolve their operations through automated content synthesis, advanced search capabilities, and bespoke applications leveraging our latest foundational technologies and models. About the Role We are looking for a driven solutions leader with a product mindset to partner with our public sector customers and ensure they achieve tangible value with GenAI. You will pair with government agencies (federal, state, and local), policymakers, and other public institutions to establish a GenAI strategy and identify the highest value applications. You’ll then partner with their technical teams, subject matter experts, systems integrators, and implementation partners to move from prototype through production. You’ll take a holistic view of their needs and design an architecture using the OpenAI API and other services to maximize customer value. You will collaborate closely with Sales, Solutions Engineering, Global Affairs, Applied Research, and Product teams. This role is based in Washington, DC. We offer relocation support to new employees. In this role, you will: - Deeply embed with our most sophisticated public sector customers as the technical lead, serving as their technical thought partner to ideate and build novel applications on our API and other OpenAI foundational technologies like Codex. - Work with senior customer stakeholders to identify the best applications of GenAI in their industry and to build/qualify a comprehensive backlog to support their AI roadmap. - Intervene directly to accelerate customer time to value through building hands-on prototypes and/or by delivering impactful strategic guidance, often in collaboration with systems integrators and implementation partners. - Forge and manage relationships with our customers’ and implementation partners’ leadership and stakeholders to ensure the successful deployment and scale of their applications. - Contribute to our open-source developer and enterprise resources. - Scale the Deployment Engineering function through sharing knowledge, codifying best practices, and publishing notebooks to our internal and external repositories. - Validate, synthesize, and deliver high-signal feedback to the Product, Engineering, and Research teams. You’ll thrive in this role if you: - Bring 7+ years of technical consulting (or equivalent) experience with public sector customers (U.S. federal preferred), bridging technical teams and senior stakeholders. - Have successfully led GenAI or traditional ML implementations for government agencies in close collaboration with systems integrators and implementation partners. - Understand network and cloud architecture, including experience with on-premise deployments. - Are an effective and polished communicator who can translate business and technical topics to all audiences. - Have industry experience in programming languages like Python, Go, or Typescript. - Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done. - Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed. - Are an effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly. 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.

👤 HumanFull-time

By OpenAISep 8, 2026

Senior Backend Engineer, Enterprise Billing Platfo...

Negotiable

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 Team The Enterprise Readiness team builds the systems that allow large organizations to securely adopt and scale LangChain in production. Within that team, this role sits on the billing and monetization pod, responsible for the pricing infrastructure that powers how LangChain charges for usage across every product, from simple per-trace billing to complex, configurable enterprise pricing models. LangChain is hiring a Senior Backend Engineer, Enterprise Monetization Infrastructure to rebuild and scale the systems behind how we price and bill for usage. Today's billing pipeline gets the job done. The next step is making it a genuine strength: a flexible, self-serve platform that lets any team at LangChain launch a new pricing model in days instead of weeks, without needing to understand the internals. This is a high-impact, newly formed role reporting into the Enterprise Readiness team. You'll partner closely with the billing PM, enterprise engineering, and product teams across LangChain to define the primitives and architecture that make pricing fast, flexible, and accurate at scale, including the added complexity of usage-based and token-based pricing for AI products. Location: In-person 5 days/week in San Francisco. What You'll Do - Rearchitect LangChain's billing pipeline into a self-serve platform, building the primitives and components other engineering teams use to launch new pricing models without needing enterprise team review - Design and implement usage-based and token-based pricing infrastructure (Python/Go), including complex, configurable pricing logic beyond simple per-unit charging - Build the underlying system that will eventually power an internal agent and skills interface, letting teams describe a pricing model and go live in days instead of weeks - Reduce the code and complexity required to ship a new pricing SKU through better abstractions and shared components - Implement audit logging, usage tracking, and metering pipelines tied to billing accuracy, with a focus on correctness as pricing complexity increases - Integrate with billing and payment platforms (e.g. Metronome, Orb, or Stripe) to support metering and invoicing - Own billing reconciliation, deduplication, and edge cases like proration, disputes, and credits to ensure invoicing accuracy at scale - Partner with the billing PM and enterprise engineering to define and prioritize the pricing infrastructure roadmap - Write clean, maintainable, and well-documented backend code What You'll Bring - Technical experience - 5+ years of backend engineering experience with Python or Go (both preferred) - Hands-on experience building or scaling usage-based, subscription, or consumption billing infrastructure - Experience with metering, invoicing, or pricing-model logic, ideally including work that let other teams configure or launch pricing changes themselves rather than requiring custom engineering per change - Familiarity with Postgres, Redis, APIs, and modern distributed backend infrastructure - Strong ownership mindset and ability to thrive in fast-paced, unstructured startup environments Nice to Have - Experience with token-based or usage-based cost tracking, especially from LLM/API-first companies Compensation - Annual salary range: $175,000- $240,000 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.

👤 HumanFull-time

By LangChainSep 8, 2026

Negotiable

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 Join Anthropic as a Customer Success Manager supporting our Beneficial Deployments team's initiatives in Life Sciences. As a Customer Success Manager for Life Sciences, you’ll be a strategic partner and trusted advisor to the world's leading organizations working to accelerate scientific discovery. You will help them harness the full potential of Claude's capabilities across the API, Claude for Enterprise, Claude Code, and Claude Science to accelerate their scientific work. This is a hybrid role that blends deep 1:1 account management with scaled, one-to-many programs. You'll own a portfolio of named strategic accounts, such as research institutes, academic medical centers, scientific foundations, and mission-driven biotech, where you'll build genuine partnerships grounded in a deep understanding of their research mission, scientific objectives, programmatic goals, and technical capacity. You will help these organizations scale their usage effectively drive model and use case optimization, implement change management strategies, and maximize the value of their investment through expanded use cases across their organization. Alongside that portfolio, you'll design and run a handful of one-to-many engagement programs, including webinars, hackathons, cohort-based enablement, and researcher communities, that extend Claude's impact across the broader life sciences ecosystem well beyond any single partner relationship. The insights you gather from these partnerships will directly inform our research priorities, product development (including how Claude for Life Sciences evolves), and strategies for beneficial AI deployment, making you a key voice in shaping how we build and deliver AI systems that accelerate science for the benefit of society. Key responsibilities: - Build trusting, strategic relationships with research leaders, principal investigators, program directors, and IT teams to understand their organizational goals, scientific priorities, and impact objectives, identifying opportunities for optimization and expanded AI deployment in service of their research mission - Become an expert in Anthropic's products across the API, Claude for Enterprise, Claude Code, and Claude for Life Sciences (including scientific tool integrations and agent skills), understanding the technical nuances and best practices for each to guide partners to the right solutions - Monitor usage patterns and proactively drive adoption across your 1:1 accounts, identifying optimization opportunities and discovering new applications for Claude - Develop and execute change management strategies appropriate for scientific and academic organizational cultures, driving adoption through Train the Trainer programs, Center of Excellence development, and organizational enablement that respects partner capacity constraints, governance requirements, and decision-making processes - Establish the repeatable playbooks, templates, and health metrics that define what "great" looks like for both dedicated and scaled customer success in life sciences at Anthropic - Design and run one-to-many engagement programs for the life sciences community, such as live and on-demand webinars, hackathons and build days, cohort-based onboarding, office hours, and researcher user communities, that move a broad set of organizations from signed to activated and extend impact beyond individual partner relationships - Guide partners through the technical and governance foundation for launch, including SSO and provisioning, workspace configuration, and data handling considerations relevant to research and health data (such as HIPAA, IRB, and institutional data policies), so research and IT leaders trust the deployment from day one - Document and quantify value realized through research productivity, time-to-insight, program effectiveness, cost savings, and mission amplification to build compelling cases for continued investment in AI, and partner with Marketing to develop success stories and reference accounts You may be a good fit if you have: - 6+ years of experience in Customer Success, Technical Account Management, or Solutions Engineering - 3+ years of experience in life sciences research with ample exposure to the intersection of new technologies as a catalyst for accelerating progress - Experience working directly with life sciences organizations, such as academic research institutions, nonprofit research institutes, foundations, biotech, or pharma, and familiarity with how scientific research is conducted, funded, and governed. - Deep understanding of regulations, risk, and compliance needs of the industry - Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each - Experience designing and delivering one-to-many customer programs (webinars, hackathons, cohort-based onboarding, user communities, or similar) alongside managing dedicated strategic accounts - Operate data-driven and AI-first, using adoption signals and program effectiveness to guide decisions and building agentic, Claude-powered workflows into how you engage partners, so the scaled motion runs on automation rather than heroics and your time goes where it does the most public good - Technical fluency with the ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns; familiarity with scientific data types, research workflows, or bioinformatics tooling is a strong plus - Experience explaining and demonstrating technical products to diverse audiences, from bench scientists and computational researchers to institutional leadership - Strategic mindset to identify growth opportunities for expanded scientific and health impact and translate them into actionable expansion plans - Passion for both AI and accelerating scientific progress, with strong interest in ensuring frontier AI systems are developed safely, ethically, and deployed to benefit society - A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality. You are a true team player 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: $200,000 - $265,000 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.

👤 HumanFull-time

By AnthropicSep 9, 2026

Select a job to see details

Choose any listing from the results

AI rolesDaily digest

Get tailored job alerts, not another account to manage

Start with your email. We’ll send the newest roles for this site each day; unsubscribe in one click.

Coming soon: automatic applications. You’ll be able to define your criteria and let Jobs in AI apply to matching roles. This is a preview only—applications are not automated today.