12,096 results
Lead, Ad Revenue & Analytics
Level Up Your Career with Zynga! At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take-Two Interactive, our games have been downloaded over 6 billion times—connecting players in 175+ countries through fun, strategy, and a little friendly competition. From thrilling casino spins to epic strategy battles, mind-bending puzzles, and social word challenges, our diverse game portfolio has something for everyone. Fan-favorites and latest hits include FarmVille™, Words With Friends™, Zynga Poker™, Game of Thrones Slots Casino™, Wizard of Oz Slots™, Hit it Rich! Slots™, Wonka Slots™, Top Eleven™, Toon Blast™, Empires & Puzzles™, Merge Dragons!™, CSR Racing™, Harry Potter: Puzzles & Spells™, Match Factory™, and Color Block Jam™—plus many more! Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation—and where you can take your career to the next level. Join us and be part of the play! Position Overview Zynga is looking for a strategic, experienced, and intellectually curious Ad Revenue & Analytics Lead to join our world-class advertising team. In this role, you will own the end-to-end analytics and optimization strategy for Zynga's advertising inventory, challenging conventional thinking and driving measurable revenue impact across our portfolio of mobile games. This is a high-visibility, high-impact role that blends technical rigor with business leadership. You will drive cross-functional initiatives, mentor analysts, and translate complex data into strategies that move the business forward. What You'll Do - Define and own the roadmap for key ad revenue initiatives that maximize revenue across Zynga's advertising inventory - Lead complex, multi-stakeholder initiatives from ideation through rollout across our game portfolio - Stay close to daily ad revenue performance, flagging anomalies, diagnosing shifts, and surfacing optimization opportunities, while keeping ad monetization leadership informed of trends and their business implications - Lead the design and execution of complex A/B tests; translate findings into actionable strategies - Collaborate with product and central analytics teams, driving alignment and shared ownership of ads revenue outcomes - Partner with data science on ML and AI-powered models to improve ad targeting, pricing, and inventory optimization - Mentor and provide technical and strategic guidance to junior analysts on the team What You Bring - Bachelor’s degree in a quantitative field - 5+ years of experience in a data-intensive analytics role - Prior experience in mobile gaming or advertising is a big plus - Expert-level SQL skills - Proficiency in Python or R for data analysis, statistical modeling, and automation - Advanced proficiency in Tableau or equivalent BI/dashboarding tools - Familiarity with machine learning concepts and AI tools as applied to revenue analytics - A self-starter who identifies problems, builds the case, and drives solutions to completion — without waiting for direction - Proven ability to influence and align cross-functional teams - Intellectual curiosity and a challenger mindset — unafraid to question assumptions and push for deeper insight - Strong project management and prioritization skills in a fast-paced, deadline-driven environment - Excellent written, verbal, and visual communication skills What We Offer You The pay range for this position in Ontario at the start of employment is expected to be between $96,400 and $130,660 per Year. The pay range for this position in California at the start of employment is expected to be between $118,900 and $150,760 per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. Regular, full-time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company’s discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness-related expenses. Ontario only: The use of Artificial Intelligence is not being used to screen candidates. The position is for an existing vacancy. We are proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization. Employment with us is based on substantive ability, objective qualifications, and work ethic – not an individual’s race, creed, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law. As an equal opportunity employer, we are committed to providing the necessary support and accommodation to qualified individuals with disabilities, health conditions, or impairments (subject to any local qualifying requirements) to ensure their full participation in the job application or interview process. Please contact us at accommodationrequest@zynga.com to request any accommodations or for support related to your application for an open position. Please be aware that Zynga does not conduct job interviews or make job offers over third-party messaging apps such as Telegram, WhatsApp, or others. Zynga also does not engage in any financial exchanges during the recruitment or onboarding process, and will never ask a candidate for their personal or financial information over an app or other unofficial chat channel. Any attempt to do so may be the result of a scamp or phishing attack, and you should not engage. Zynga’s in-house recruitment team will only contact individuals through their official Company email addresses (i.e., via a zynga.com, take2games.com, naturalmotion.com, smallgiantgames.com, themavens.com, gram.gs email domain).
Senior Director, Reporting & Analytics Engineering
Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: We are seeking a Senior Director to lead our Enterprise Reporting and Analytics Engineering organization, a team of analytics engineers, report developers, visualization specialists, and people leaders. This organization focuses on the last mile of the enterprise data supply chain: the semantic models, curated data products, metric definitions, and consumption experiences that turn engineered data into decisions. This is not a traditional reporting leadership role; the classic notion of “reporting” in the form of a myriad of dashboards and filters is racing towards obsolescence. But the need for data and insights, and the need to deliver it in a way that is digestible and actionable, is timeless. Yes, governed dashboards and trusted reporting remain the foundation, and this leader must be excellent at that foundation. But the mandate is to move the organization decisively beyond static reporting toward a proactive, intelligent analytics capability: partnering with Data Science to productize and visualize their models, enabling generative AI and LLM-based access to our data, building exception-based systems that alert users when outcomes deviate from expectation in a statistically meaningful way, and designing agents that monitor data continuously and deliver insight without being asked. Analytics engineering shares much of its DNA with data engineering — modeling, transformation, testing, version control, CI/CD, performance and cost discipline — but is oriented toward business enablement rather than platform and pipeline. Success in this role therefore depends as much on partnership as on technical depth. This leader will work shoulder to shoulder with Data Engineering on the boundary between platform and consumption, with Product Management on roadmap and requirements, with Data Science on advanced analytic products, and with Analytics Operations on a disciplined intake and prioritization process that makes the best possible use of finite capacity. The ideal candidate has spent years building the traditional foundations — governance, metadata, lineage, dimensional modeling, engaging with enterprise BI platforms— and is now looking to apply that rigor to a fundamentally different generation of analytic products in new and innovative ways. What you'll be doing: Organizational Leadership - Lead, coach, and develop an organization of approximately 30 people, including managing through frontline managers; own hiring, role clarity, career pathing, performance management, and succession planning. - Define a multi-year vision and roadmap for enterprise reporting and analytics engineering, and translate it into quarterly outcomes the team and its partners can measure. Partner closely with Product Management to jointly shape the multi-year enterprise end-to-end data strategy. - Own the organization's budget, vendor relationships, and contractor or offshore capacity. - Establish and sustain an engineering culture within an analytics function: peer review, automated testing, documentation standards, source control, CI/CD, etc. Analytics Engineering and Data Architecture - Drive maturity of the last-mile architecture in partnership with Data Engineering: curated marts, semantic layers, reusable data products, and certified datasets that serve reporting, ai enablement, data science, and downstream applications. - Define and enforce dimensional modeling standards, transformation frameworks, and modular, tested, version-controlled analytics code. - Own the enterprise metric layer so that key business measures carry a single, governed definition regardless of where they are consumed. - Partner with Data Engineering to define clear contracts and handoffs between pipeline and platform work and last-mile modeling, including shared tooling, standards, and escalation paths. - Manage query performance, warehouse consumption, and platform cost as first-class engineering concerns. Data Governance, Metadata, and Lineage - Own cataloging, business glossary, data certification, and stewardship workflows, leveraging tools such as Atlan as the primary metadata platform. - Maintain column-level lineage across the analytics estate to support impact analysis, change management, audit, and root-cause investigation. - Leverage data access provisioning and entitlement models, including row- and column-level security, in partnership with Security, Privacy, and Compliance. - Collaborate with Data Engineering to drive data quality monitoring, freshness and availability SLAs, observability, and incident response for analytic assets. Enterprise Reporting and Data Visualization - Drive analytics engagement by leveraging enterprise visualization and provisioning platforms, including Domo and Tableau, in partnership with Data Engineering. Ensure best practices are followed in data architecture, governance, adoption, performance, and total cost management. - Set visualization and information design standards that make reports readable, consistent, accessible, and decision-oriented. - Rationalize the existing reporting portfolio: retire redundant and unused assets, consolidate overlapping content, drive down tech debt and drive consumption toward certified sources. - Build a durable self-service capability through training, templates, community, office hours, and clear guardrails on what belongs in self-service versus centrally managed content. Advanced, Proactive, and AI-Enabled Analytics - Partner with Data Science to productize their work: build the visualization, interaction, monitoring, and feedback loops that turn models and research into products the business actually uses. - Partner with Product Management and Data Engineering to enable generative AI and LLM access to enterprise data. This includes preparing the semantic and metadata foundation that makes data legible to models, delivering conversational analytics, text-to-SQL, and retrieval-augmented experiences on governed sources, and establishing guardrails, evaluation, and accuracy monitoring so that answers can be trusted. - Build exception-based analytics that detect when an outcome deviates from its expected value in a statistically significant way, using seasonality-aware baselines, forecast residuals, control limits, and anomaly detection rather than static thresholds. - Route those exceptions to accountable owners with context, likely drivers, and a recommended next action; actively tune sensitivity and volume to prevent alert fatigue and preserve signal. - Design and deploy analytic agents that proactively monitor data, investigate variances, assemble narrative explanations, and deliver insight into the tools where people already work. - Shift the organization's consumption model from pull to push: the measure of success is not how many people opened a dashboard, but whether the right person was told the right thing at the right time. Cross-Functional Partnership, Intake, and Prioritization - Operate as a true partner to Product Management: contribute to roadmap, requirements, user research, and release planning, and run analytics with a product mindset covering personas, adoption metrics, and asset lifecycle management. - Partner with Analytics Operations to run a transparent intake, triage, sizing, and prioritization process, with published capacity, explicit tradeoffs, and reliable delivery commitments. - Make capacity constraints visible to stakeholders and executives, drive reuse over one-off builds, and decline or defer work with evidence rather than friction. - Serve as a senior, executive-facing partner to business functions, translating ambiguous business questions into well-scoped analytic solutions. What we're looking for: - Bachelor's degree in Computer Science, Information Systems, Engineering, Statistics, Mathematics, Economics, or a related quantitative field; equivalent professional experience will be considered. - 15+ years of progressive experience in data, analytics, or business intelligence, including 8+ years leading teams and 4+ years managing managers. - Demonstrated experience leading an organization of 25 or more people in a large, matrixed enterprise. - Strong hands-on foundation in SQL, dimensional modeling, and ELT/ETL design, with production experience on a modern cloud data warehouse or lakehouse (for example Snowflake, Databricks, BigQuery, Redshift, or Synapse) and a transformation framework such as dbt. - Experience applying software engineering practices to analytics work, including Git-based workflows, automated testing, and CI/CD. - Enterprise-scale leveraging of BI and data visualization platforms such as Domo, Tableau, Power BI, or Looker, including governance, provisioning, adoption, and cost management. - Demonstrated ability to participate in driving data governance program covering catalog, lineage, glossary, stewardship, quality, and access, using platforms such as Atlan, Collibra, Alation, or Informatica. - Proven track record of delivering jointly with Data Engineering and Product Management, with clear ownership boundaries and shared accountability. - Direct experience partnering with Data Science, including operationalizing, visualizing, and monitoring model output for business consumption. - Working command of the statistical concepts underlying exception detection, including hypothesis testing, confidence intervals, variance and control limits, seasonality, and forecasting. - Experience running a formal intake, prioritization, and capacity planning process for a shared services or platform organization. - Excellent executive communication and influence skills, with the ability to operate effectively amid ambiguity and competing priorities. - Experience managing budget, vendor contracts, and platform licensing. Preferred Skills: - Master's degree or MBA in a related field. - Production experience delivering LLM-based analytics: retrieval-augmented generation over governed data, text-to-SQL or conversational BI, semantic layers designed for model consumption, and prompt, evaluation, and cost monitoring frameworks. - Experience designing agentic workflows and orchestration for monitoring, investigation, and notification use cases. - Hands-on experience with Atlan, Domo, and Tableau specifically. - Proficiency in Python or R for prototyping, and familiarity with common statistical and ML libraries and MLOps concepts. - Experience deploying anomaly detection at scale, including alert routing, suppression, and fatigue management. - Familiarity with data product and data mesh operating models, domain-aligned ownership, and data contracts. - Experience operating in an Agile or product operating model at scale, including portfolio, OKR, and roadmap management. Deep experience with the “Silicon Valley” school of Product Management, as exemplified by the “Marty Kagan”-style academic approach a significant plus. - Experience leading global or matrixed teams, including offshore or vendor-partnered delivery models. - Track record leading a major platform migration, consolidation, or reporting rationalization effort. - Demonstrated success attracting, developing, and retaining senior technical talent in a competitive market. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Account Executive, Geo Enterprise
Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. ABOUT THE ROLE As an Account Executive, Geo Enterprise at SpaceXAI, you'll be responsible for driving revenue growth by bringing on new logos, building strategic relationships with customers and helping engineering organizations discover, adopt, and expand their use of Cursor. This role combines technical understanding with sales expertise to help enterprises reimagine how software development can be accelerated with AI. This is a rare opportunity to sell a product that engineers already love, into accounts where you can drive transformational change in how software gets built. WHAT YOU'LL DO - You'll own the full sales cycle from first outreach to close, working directly with engineering leaders, CTOs, and procurement teams at some of the world's most sophisticated software companies - Build and manage a healthy pipeline, meeting and exceeding quarterly targets - Develop executive relationships and day-to-day champions within each account and become a trusted product expert; guide prospects through trials, evaluations, and rollouts - Quantify value with clear ROI cases tied to developer productivity and AI adoption - Design and execute innovative sales strategies; analyze market trends and translate high-level plans into targeted activities and campaigns - Be the voice of the customer and influence the roadmap with actionable feedback YOU MAY BE A FIT IF - You have 5-7+ years of closing experience in tech sales, ideally selling developer tools, technical SaaS, or emerging technologies with 1-3 years of experience selling into Enterprise companies - You have a consistent track record of landing new logos and exceeding quota and managing a high velocity of deals - You're comfortable navigating complex sales cycles and selling to technical stakeholders, from ICs to CTOs - You're a true hunter, meaning you proactively build pipeline from scratch through outbound prospecting, creative sourcing, and relentless follow-up, rather than relying on inbound demand - You bring an analytical approach to understanding customer needs combined with creative, tactical follow-through to advance opportunities - You're an excellent communicator who can present confidently and build trust across all levels of an organization
IT Support Specialist
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT THE ROLE We are seeking a proactive, customer-focused IT Support Specialist based in Dubai to anchor our regional IT operations . In this role, you will be the primary point of contact for internal employees, delivering white-glove technical support while managing core identity, collaboration platforms, and SaaS systems. Beyond day-to-day helpdesk operations, this position bridges traditional IT support and modern systems engineering. You will leverage automation, scripting, and modern DevOps practices to streamline user lifecycles, eliminate manual toil, and ensure our workforce operates securely and efficiently. KEY RESPONSIBILITIES - Serve as the first point of contact for internal employees, triaging incoming requests through the ticketing system and established support processes. - Troubleshoot and resolve workstation, laptop, mobile, and basic network issues for on-site staff and remote employees, escalating more complex support cases to senior staff or the appropriate team. - Deliver calm, clear support during high-priority incidents, keep users informed, and document work thoroughly through to resolution. - Manage end-to-end employee onboarding and offboarding workflows, ensuring zero-day access provisioning, hardware readiness, and secure offboarding compliance. - Build and maintain support procedures and employee-facing knowledge base articles so common issues are handled consistently. - Partner with business units as a go-to support contact and communicate clearly, in writing and in person, across the organization. - Support new-hire onboarding and offboarding, including device setup, access requests, and day-one readiness. - Track hardware inventory and coordinate on device replacements and repairs. - Assist with password resets, MFA, email, and common productivity-tool issues so employees can get back to work quickly. - Provide hands-on support for printers, peripherals, and meeting-room technology when on-site help is needed - Stay eager to learn, take on special projects, and grow into broader IT support responsibilities. QUALIFICATIONS - Professional proficiency in English - 3-7 years of experience in help desk, internal IT support, or a similar technical support role. Experience in a fast-paced or global team is a plus. - Strong experience with supporting user accounts, password resets, MFA, and SSO, specifically with Okta and Google Workspace. - Experience with Mobile Device Management (MDM) platforms such as Iru (macOS) and Microsoft Intune (Windows). - Basic understanding of networking fundamentals (TCP/IP, DNS, Wi-Fi, and VPN), with familiarity supporting UniFi/Ubiquiti equipment a plus. - Comfort supporting employees in Slack and other everyday collaboration tools such as Microsoft Office 365 (channels, apps, notifications, and common access issues). - Strong written and spoken English, with the ability to explain technical issues clearly to both technical and non-technical colleagues across international teams. - A patient, helpful, solutions-oriented approach to supporting internal staff, with a commitment to follow-through and a positive experience for every request. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Regional Director, Geo Enterprise
Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. ABOUT THE ROLE As a Regional Director, Geo Enterprise at Cursor, you'll build and lead a team of Account Executives driving revenue growth across new and existing business. You'll be a hands-on leader, coaching your team through complex sales cycles, building the processes and playbooks that scale our go-to-market motion, and serving as a senior voice for the enterprise customer inside Cursor. This is an early and foundational sales leadership role. You'll help define what great enterprise sales looks like at Cursor, working closely with GTM, Product, and Engineering to land and expand Cursor across the world's most sophisticated software teams, based out of our San Francisco office. WHAT YOU'LL DO - Hire, develop, and coach a high-performing team of Enterprise Account Executives to meet and exceed revenue targets - Build and execute a sales strategy, owning pipeline generation, forecast accuracy, and overall territory performance - Get into deals - support your team on complex, high-stakes opportunities by engaging directly with engineering leaders, CTOs, and executive stakeholders across the region. - Drive operational rigor: maintain accurate forecasting, pipeline inspection, and CRM hygiene across the team - Partner with Enablement to accelerate AE ramp time and build training programs tailored to Cursor's enterprise sales motion - Work closely with Product and Field Engineering to shape how we position and demonstrate Cursor to engineering organizations at scale - Gather and synthesize customer and market feedback to inform product direction and go-to-market strategy - Build the playbooks, processes, and institutional knowledge that will scale Cursor's enterprise sales organization as we grow YOU MAY BE A FIT IF - You have 10+ years of sales experience and 3+ years leading high-performing AE teams, ideally selling developer tools, technical SaaS, or AI products - You're based in the San Francisco Bay Area and have an established network across the enterprise technology market - You have a track record of building teams from the ground up and developing AEs into top performers - You're a hands-on leader who stays close to deals. You coach through live opportunities, not just pipeline reviews - You bring strong operational discipline: you know how to run a forecast, inspect a pipeline, and build repeatable sales processes - You're technically fluent enough to hold credible conversations with senior engineers and CTOs about how Cursor fits into how software gets built - You thrive in an early-stage environment and are excited to build the systems and culture of a sales organization, not just manage one - You care deeply about AI and believe that transforming how software is written is one of the most important problems to work on right now
Customer Success, EMEA
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.
CX Systems Engineer
We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. ABOUT THE ROLE Open to hiring remote across North America and London — we also have offices in NYC, San Francisco, Seattle, and London. We're building a tool that makes content creation easy and accessible for all types of creatives. Our users love it. Runway has an actively engaged and growing community of passionate artists and creators worldwide. And we're scaling the systems behind our support team so we can keep delivering delightful experiences as that community grows. We're looking for a CX Systems Engineer who ships production code, not tickets and specs: someone who takes a fix from proposal to merged PR themselves. This role reports directly to the Head of Customer Experience. WHAT YOU’LL DO - Own the AI support agent, our ticketing system and other Support tools end to end: authentication (JWT), response logic, routing, escalation paths and tone, tested in staging before it sees live traffic - Ship daily product changes that remove ticket volume. Recent example: extending automatic refund eligibility to one-click credit purchases, accidental upgrades and month-based proration on annual terms - Build and maintain internal CX tooling as real software, not one-offs: scripts, jobs, dashboards, admin surfaces - Run QA and evals with real test suites and pass/fail rubrics, plus monitoring and alerts for outages, bugs and volume spikes - Own releases: staged rollouts, a regression suite before every ship, clear rollback criteria, a writeup when something reaches production - Build the CX reporting the org runs on: volume, deflection, CSAT, reply and resolution time, escalation accuracy, agent spend. You own the correctness and availability of the queries. - Build and stage the guardrails on refunds, account changes and anything touching money or PII, including the audit trail - Keep the knowledge base accurate and structured for the agent to parse, and manage the handoff into the ticketing system - Keep the CX roadmap and the coverage model current, sequenced against priorities set by the Head of CX, so gaps show up before they bite - Run the day-to-day with our AI platform vendor: weekly working session, joint roadmap, issues filed with reproductions - Carry signal across teams: Product and Engineering on bugs and rollouts, Customer Education on self-serve, community on Discord and the forums, GTM and Analytics on routing and reporting WHAT YOU’LL NEED - 5+ years in Customer Experience, Support Engineering or Support Operations, with real time spent writing code - You ship production code in codebases you didn't write: read TypeScript, trace logic through someone else's service, put up a PR that survives review. Our stack is TypeScript and Node.js on AWS - Hands-on experience building and tuning AI or LLM-powered support workflows: prompt and context engineering, routing, escalation design, evals - SQL experience. You own the reporting, so you shouldn't be waiting on Analytics for it - Code-level experience with a billing or payments API: invoices, prorations, refunds. A large share of consumer tickets live here - Git, PR review, CI, staging and feature flags as your default way of working - Real QA and eval experience: you can define rubrics, build test suites and calibrate against what good looks like - Judgment about where a fix belongs, in code, in the agent or in the knowledge base - A track record carrying signal between support, product and other functions and turning it into action - Comfort managing your own work in a fast-moving environment, high ownership and high autonomy - Genuine interest in AI, creative tools or both WHAT SETS YOU APART The most successful person in this role treats the agent and the systems around it like a product they own. They watch where it fails, ship the fix and check whether it worked. They build reporting people actually use. And they show up with improvements no one asked for yet. FOR YOUR APPLICATION During our interview process, you'll have several chances to get acquainted with the Runway product and use all the features our team has built, and that starts now. As part of your application, instead of a cover letter, we ask that you try out the Runway product, specifically build a custom workflow. Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Staff Software Engineer, Machine Learning (Consume...
Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. We're looking to hire a Staff Machine Learning Engineer on our Consumer Revenue ML team. This team applies Machine Learning across Discord's core revenue surfaces — Shop, Nitro, Server Subscriptions, and Gifting — building the ranking, targeting, and recommendation systems that connect users to the right products, subscriptions, and content. If this excites you and you’ve led org-wide initiatives in the past, keep reading! What You'll Be Doing - 8+ years of experience in applied Machine Learning, inclusive Ph.D. or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. - Strong expertise in applied deep learning and mainstream RecSys model architecture (e.g. two-tower, transformer-based models, multi-task learning). - Strong proficiency in Python and ML frameworks such as PyTorch, JAX, or TensorFlow. - A track record of building ML systems from 0→1 in ambiguous, early-stage environments, and taking them to production at scale. - Strong product and business intuition, with the ability to translate experiment results into roadmap decisions. - Excellent communication and collaboration skills — able to lead cross-functional technical initiatives across multiple verticals and keep stakeholders educated and aligned. - The ability to thrive in ambiguous environments, energized by open-ended, technically challenging problems. What you should have - Built internal ML platform/tooling (shared data standards, targeting endpoints, recommender libraries) adopted by multiple product teams. - Familiarity with personalized marketing systems — lifecycle targeting, audience segmentation and lookalikes, campaign optimization. - Deep expertise in distributed training (e.g. PyTorch on GPU, Ray, Anyscale) and large-scale data processing pipelines (e.g. Chronon, Spark, Flink). This position is US-based and can be remote but if you live in the Bay Area, you're welcome to work from our beautiful SF office. The US base salary range for this full-time position is $272,000 to $340,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits. Why Discord? Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests, and helps developers build and grow their businesses. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away! Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know. Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking HERE.
Data Scientist
Who we are About Stripe Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you’ll do Responsibilities - Scope, design, build, and maintain APIs, services, and large-scale systems that reliably and efficiently handle billions of money movement requests; - Design the next generation of Stripe products to meet the high growth needs of our company and customers; - Analyze product requirements, user needs and feedback and translate them into technical specifications and determine the feasibility of design, taking into account cost and time constraints; - Review API launches and library shapes for other teams to ensure that backwards and forward compatibility, coherent patterns, and extensibility meet our quality standards; - Act as the team’s representative during technical meetings and understand how their systems interact with the broader landscape within the company; - Mentor early-career engineers to help them grow and spin up into independent engineers; and - Construct core engineering tenets and design principles for their team’s projects. Who you are Minimum requirements Master’s degree or foreign equivalent in Statistics, Data Analytics, Engineering or a related field, plus 5 years of related work experience in data science or quantitative modeling. In the alternative, the employer will accept a Bachelor’s degree or foreign equivalent in Statistics, Data Analytics, Engineering or a related field, plus 7 years of related work experience in data science or quantitative modeling, of which at least 5 years must be post-bachelor’s progressive related work experience. Must also have 4 years’ experience in each of the following: - SQL; - Programming languages including Python or R; - Developing models and tuning thresholds to drive business outcomes and deployment of the same model in production; - Translating complex data analysis into actionable business outcomes; - Writing or contributing to product strategy, roadmap, or technical design documents; Must have 3 years of experience in: - Designing and analyzing production experiments to drive strategic and technical outcomes. Salary: $193,232 - 288,000/yr This salary range represents the base salary range for the role and any sales commissions/sales bonuses targets, if applicable, would be in addition to the base salary. 40 hrs/week 50% Telecommuting permitted Multiple Positions Available. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. WA53 LI-DNI
Machine Learning Engineer, Link
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Link is a digital wallet designed for fast and secure online payments. It allows consumers to save and use their preferred payment methods across the Link network, helping them check out quickly and securely wherever Link is accepted. The Link Fraud and Auth team works to make Link the most trusted and highest-performing way to pay. We protect consumers and merchants from fraud, abuse, and financial loss while maximizing authorization rates for good users. Our work spans consumer-facing experiences, payment infrastructure, and ML powered risk systems. We manage fraud and financial risk across a growing range of novel Link features, including Link’s agentic wallet, stored balance, and LPMs. The team also owns Instant Bank Payments, a proprietary payment method built on ACH rails, offering merchants immediate confirmation while protecting them from bank-initiated returns. IBP is the heart of Link’s revenue engine, giving LFA engineers the opportunity to shape and scale one of Link’s most important products. What you’ll do As a machine learning engineer on Link Fraud and Auth, you’ll build and operate models and risk decisioning systems that protect Link while helping more legitimate payments succeed. You’ll work across the full machine learning lifecycle, from analyzing fraud patterns and identifying opportunities to building, deploying, monitoring, and improving models in production. You’ll use data to form hypotheses, make practical modeling choices, and define technical direction in partnership with Engineering, Product, and Data Science. Your work will directly influence Link’s fraud performance, authorization rates, and ability to expand into new products and payment experiences. Responsibilities - Build, train, evaluate, deploy, and own machine learning models that detect fraud and abuse across Link. - Use large-scale datasets to investigate emerging threats, develop hypotheses, and identify opportunities to improve payment performance. - Develop pragmatic machine learning solutions, including tree-based models and other approaches suited to real-time risk decisioning. - Design data pipelines, features, evaluation methods, experiments, and monitoring systems that support reliable production models. - Build and improve risk decisioning systems that integrate with other parts of Stripe’s payments stack. - Own ambiguous problems from initial analysis and problem definition through technical design, implementation, launch, measurement, and iteration. - Collaborate with Engineering, Product, Data Science, and Risk partners across Stripe to turn model improvements into durable product outcomes. Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements - 6+ years of industry experience building and shipping machine learning models in production. - Strong programming skills in Python and experience with common data and machine learning tools, such as SQL, Spark, and XGBoost. - Strong knowledge of production machine learning systems, including data pipelines, feature development, model evaluation, deployment, monitoring, and iteration. - Experience working with large and complex datasets and applying data analysis, statistics, and experimentation fundamentals. - Demonstrated ability to take an open-ended business problem, determine where machine learning can help, and own the solution through production. - Strong judgment in selecting practical modeling approaches and evaluating tradeoffs among model performance, system complexity, latency, and business impact. - Strong collaboration skills and the ability to work across teams and contribute to peers' success. Preferred qualifications - Experience applying machine learning to fraud detection, risk modeling, payment authorization, identity, account security, or another adversarial domain. - Experience building real-time, low-latency machine learning or risk decisioning systems at scale. - Experience integrating models into production services and designing reliable systems around model outputs. - Experience with payments, fintech, digital wallets, or money movement. - Strong software engineering skills and experience designing solutions across the machine learning and product stack.
AI Solutions Developer
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team You'll be joining the Finance Operational Excellence team, reporting to the Head of Finance Operational Excellence. We are finance transformation and AI experts working side-by-side with Finance, Product, and Engineering teams to redefine processes and build the finance organization of the future. This is an opportunity for someone who enjoys working across disciplines: part solution developer, part data architect, part workflow designer, and part coach. You’ll have room to shape how applied AI is built and scaled both from a technical and end-user perspective. What you’ll do You'll work side-by-side with Finance subject matter experts to understand how work gets done, identify the highest impact opportunities, and partner with domain teams to chart a transformation plan which balances future ambitions with rapid impact. You'll work independently to automate manual processes, design and build agents and required data solutions using internal platforms, and enable Finance teams to maintain these solutions long-term. You’ll build with your partner teams, not simply deliver solutions to them. You’ll help colleagues move from a manual workflow, to a first AI-enabled win, to a reliable solution they can confidently operate and improve themselves. Success means the workflow stays transformed after the initial build, the team trusts the output, and the people closest to the process can own what comes next. You’ll favor learning through building. When possible, you’ll put a useful prototype in front of a Finance user, test it against a real deliverable, and improve it quickly rather than spend weeks describing a theoretical future state. When you encounter platform limitations—which you will—you’ll find creative, supportable approaches, collaborate with Engineering to scope and test custom tools, and escalate strategically when needed. This role requires a blend of process automation, data operations, technical problem-solving, and stakeholder enablement. You'll spend your time building agents, optimizing data pipelines that feed them, creating knowledge layers that make them more accurate, and training Finance teams to use and maintain them. Success means Finance teams can independently run agents you've built while you provide light support and focus on the next automation opportunity. Responsibilities - Embed with Finance teams to diagnose workflows, identify high-leverage opportunities, and translate business, data, and control requirements into practical AI and automation solutions. - Build and operationalize AI agents for Finance use cases, delivering end-to-end solutions from prototype through validation, monitoring, documentation, and handoff. - Write and optimize SQL for data extraction, transformation, calculation, and validation, ensuring Finance-facing outputs are accurate, explainable, and reliable. - Design reusable knowledge layers, evaluation methods, validation patterns, data-quality frameworks, and components that improve agent accuracy and accelerate future use cases. - Identify agentic limitations and new possibilities; determine when to use existing capabilities, develop an alternative approach, or partner with Engineering to scope and test custom tools and integrations, including tools using Model Context Protocol where appropriate. - Build alongside users, gather feedback through real deliverables, and iterate until the solution fits the workflow and earns user trust. - Enable long-term ownership through clear SOPs, runbooks, training, and self-service tooling; coach Finance teams to operate, maintain, and evolve what has been built. - Establish monitoring and observability for deployed agents, including metrics, alerting, and incident-response processes that support reliable operation. - Diagnose technical and data issues, resolve problems independently where possible, and collaborate with Engineering when solutions require deeper platform changes. - Measure adoption and impact, share lessons and wins, and turn successful implementations into standards, components, and playbooks for the broader Finance AI portfolio. Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements - 5+ years of experience in data analytics, technical operations, business intelligence, automation, solutions delivery, or a related field. - Hands-on experience building AI-enabled tools, agents, automations, or workflows that changed a real business process—not solely using AI as a conversational tool. - Strong SQL proficiency, including experience writing complex queries using CTEs, window functions, and joins for data analysis, transformation, or pipeline logic. - A track record of independently scoping and delivering technical solutions for process improvement, demonstrating ownership from problem definition through adoption. - Strong analytical and investigative skills, including the ability to identify root causes, debug complex data problems, and resolve inconsistencies. - Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences and work effectively with domain experts and Engineering partners. - Experience teaching, coaching, enabling users, or transferring ownership of a solution through documentation, training, or self-service tools. - Working knowledge of development practices such as version control, testing, code review, and iterative delivery. - Experience using low-code tools, scripting, workflow automation, AI-assisted development, or custom integrations, paired with curiosity and the ability to learn evolving technologies. You will also likely have (not required): - Domain experience in Finance Operations, Financial Planning & Analysis (FP&A), Accounting, Treasury, Tax, Payments, or other areas. - Familiarity with modern data tools and practices, such as Python, Databricks, ETL/ELT processes, data pipelines, and data-quality controls. - Experience with Model Context Protocol or another extensibility or integration framework. - Experience navigating financial systems and understanding how data flows through accounting, reporting, reconciliation, forecasting, or payments processes. - Experience with change management, organizational transformation, or large-scale enablement programs. - Experience building internal tools, templates, components, or playbooks that were adopted beyond the original team or use case. - Experience working in a high-growth technology company with rapidly evolving processes and tools. Note on technical depth : This role involves working at the intersection of no-code AI tools and custom development. While software engineering expertise is not required, you should be comfortable applying technical concepts, collaborating closely with Engineering teams, and using AI-assisted development tools to extend platform capabilities when needed.
Senior Machine Learning Data Scientist
Senior Machine Learning Data Scientist at ŌURA. Femtech Insider network role. Industry tags: Consumer Electronics, Consumer Goods, Fitness, Hardware, Health Care, Mobile, Mobile Apps, Software, Wearables, Wellness. Skills: Machine Learning, Data Science, Research, Statistics, Forecasting, Personalization, Time Series. Locations: United States, Remote. Work mode: remote.
Data Science Intern
WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. ECOSEC What We Do Our ECOSEC team provides a safer experience for Epic's users. We work across multiple products and services to improve technology and craft transparent policies so our players and users can have positive experiences on our platforms. DATA SCIENCE INTERN What You'll Do We are looking for a Data Science Intern to join the Ecosystem Security team supporting initiatives related to fraud and abuse detection. As part of the EcoSec team, you will be given a detection problem to own as part of our development cycle. You will work with your data science mentor and the operations analysts who investigate these cases to explore the data, build a model, and measure its impact on how we protect players. In this role, you will - Explore large transaction, account, gameplay, and behavioral datasets to characterize how a specific form of abuse actually works - Build and evaluate statistical or machine learning models that detect abusive activity at scale - Partner with operations analysts to translate their investigation heuristics into model features, and measure your results against real outcomes like confirmed cases and false positive rates - Build dashboards or monitoring so the team can track your signal without an analyst in the loop - Document your data sources, methodology, and findings so the work can be extended after your internship, and present your results to the team What we're looking for - Experience with Python for data analysis, pandas and scikit-learn preferred - Ability to write SQL against large datasets to pull and shape your own data - A grounding in statistics and machine learning fundamentals, including classification and evaluation metrics beyond accuracy - A desire to develop strong data science and software development skills - Genuine curiosity about adversarial problems, specifically how and why people find ways to game a system - Good interpersonal and communication skills, with demonstrated ability to communicate technical findings within a team - The ability to react and respond effectively to constructive feedback - A flexible approach to rapidly evolving problems, and comfort working with messy or sparsely labeled data - Nice to have: exposure to any of anomaly detection, graph or network analysis, text classification and NLP, or sequence and time-series modeling - Nice to have: interest in games, live services, or online trust and safety This internship has a flexible start date in 2027. Recruitment will be ongoing until teams find an ideal match. Applicants must be legally authorized to work in the posting location for the duration of the internship. For more information about Epic’s Early Career Program, visit epicgames.com/earlycareers . This is going to be Epic! ABOUT US Epic Games is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here . Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here .
Senior Software Engineer, Computer Graphics
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. We are seeking an experienced Senior Software Engineer with a deep background in 3D computer graphics and engine development to join the ML Data Pod within the Foundation AI team. In this role, you will build the foundational infrastructure that powers our next-generation AI capabilities. As the AI landscape rapidly shifts toward spatial and 3D generation, high-quality data has become the ultimate bottleneck. You will be instrumental in solving this challenge by unlocking the Roblox engine as a massive, scalable platform for synthetic data generation. This is a unique opportunity to bridge the gap between cutting-edge AI research and low-level engine architecture. You will be navigating unmapped territory—shaping how we represent and structure complex 3D data (such as meshes, materials, lighting, and scene graphs) to effectively train state-of-the-art 3DGen models. Ultimately, the synthetic pipelines you architect will directly fuel the frontier AI models that will define the future of immersive 3D content creation for millions of creators worldwide. Responsibilities - Synthetic Data Generation: Spearhead initiatives to leverage the Roblox engine to procedurally generate the massive, high-fidelity 3D datasets required for training frontier 3DGen models. - Cross-Functional Collaboration: Partner closely with AI research scientists to translate complex model training requirements into actionable engine features, while collaborating with core engine teams to implement them safely and efficiently. - Pipeline Architecture: Design, build, and optimize scalable graphics and engine-level systems capable of generating diverse spatial, geometric, and visual data at scale. - Technical Integration: Drive the technical direction for embedding synthetic data generation workflows into the existing engine architecture without compromising core performance. Minimum Qualifications - 5+ years of experience building and shipping complex, production-grade software systems - Deep expertise in 3D computer graphics, rendering pipelines, and game engine architecture. - Strong proficiency in systems programming (e.g., C++) with a proven track record of writing highly optimized, scalable code. - Experience extracting, modifying, or manipulating programmatic data from within a complex engine environment. - Strong communication skills with a demonstrated ability to bridge the gap between machine learning researchers and low-level systems engineers. - Bonus: Familiarity with machine learning data pipelines, automated synthetic data generation, or 3D generative AI architectures. Preferred Qualifications - Background in geometry, linear algebra, or related mathematical domains - Experience with graphics APIs or frameworks a plus but not required For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $227,370 - $295,250 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Senior/Principal Product Manager, Video Generation...
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. The mission of the Foundation AI group is to enable Roblox Creators to accelerate their workflows and to put GenAI in the hands of millions of users. We envision a future in which experiences on Roblox leverage generative text and speech capabilities to enable new forms of interaction, generative 3D and 4D capabilities to enable new ways to create, and generative video to give creators a level of visual fidelity and motion that has never been available at this scale. We shipped our 3D foundation model, which takes text prompts as input and generates production ready 3D objects and worlds. We are now building the Roblox Video Model; the Super Upsampler at the heart of Roblox Reality, our hybrid architecture that pairs the structured simulation of the Roblox Game Engine and Roblox Cloud with the photorealism of Video World Models. The engine stays the source of truth for the data model: state, physics, collision, logic, and multiplayer consistency. The video model generates the pixels: higher fidelity textures, realistic lighting, secondary motion, fluid dynamics, and the unscripted detail of a real world. A world model paired with our engine, enables persistent, multiplayer, photorealistic worlds that any creator can build and any player can join. As the Senior/Principal Product Manager for Video Generation, your job is to put that in the hands of our community. You will take the Roblox Video Model out of the lab and into creator early access, then to a platform capability available to everyone, running on cloud edge GPU infrastructure, scaling toward tens of millions of concurrents, and keeping agency firmly with the creator. You will own the strategy and vision, define how creators direct and control the model. You will: - Build a vision and strategy for real-time video generation that delights creators and players and leads to industry-defining innovation in world models. - Own the launch to our community — from lab demo, to creator early access, to scaled platform capability — and earn the trust of a community with real concerns about AI in creation by shipping in the open and proving the model serves them. - Define the creator control surface: how creators condition, direct, and constrain the model so their game rules, art direction, and systems are never overridden. - Deeply understand the model capabilities our creators need — temporal coherence, multiplayer consistency, avatar fidelity, prompt and style adherence — and shape the research roadmap against them. - Develop comprehensive evaluation for our models, combining automated metrics with creator and player feedback, and own the quality, latency, and cost curve with research and infrastructure so this scales affordably. - Work across the company — with engine, rendering, creator, safety, and economy — to make generated pixels safe, age-appropriate, and a core part of gameplay. - Manage from vision through the product life cycle, prioritizing by working with creators and analyzing how our model is used, while providing insights to non-technical audiences and holding your own with world-class AI researchers. You have: - A track record of solving hard problems. - Proven experience building, shipping, or supporting generative media products — video, image, or world models — or real-time rendering and graphics technology at scale. - Experience productizing research: turning model capabilities into product and product signal back into research priorities, with fluency in the tradeoffs that define this space — quality, latency, inference cost, and compute. - A deep understanding of the product life cycle and a history of collaborating with engineering teams and other stakeholders to deliver complex technical products on time. - Experience shipping to large consumer or creator communities, ideally in gaming, UGC platforms, or creative tools. - A Masters degree or equivalent experience in Computer Science, Computer Engineering, Computer Graphics, 3D Animation, or Games Production, or a similar technical field. - Passion for driving user-centric product decisions with an inclusive and strategic mindset, comfort in a fast-moving and ambiguous environment, and a high degree of independent drive. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $330,950 - $383,120 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Senior Research Scientist, Magnets
ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. THE OPPORTUNITY Introduction to the team: The Magnets team is one of several research verticals within SandboxAQ's broader Chemical Simulation group, which uses advanced computational methods, physics-based simulation, and AI to discover and develop novel materials. Within that effort, the Magnets vertical is focused on one of the most strategically important materials problems today: developing high-performance permanent magnets that reduce or eliminate reliance on neodymium and other rare earth elements and can be manufactured in the United States. Our goal is to create novel magnet formulations that use existing industry processes and equipment while matching or exceeding the performance of today's leading NdFeB magnets in demanding applications such as semiconductor equipment, vacuum systems, precision motion devices, and defense technologies. Introduction to the role: We are seeking a Research Scientist to help drive the computational discovery and optimization of next-generation magnet materials. The ideal candidate has a strong background in applying first-principles and multi-scale reference systems, computational simulation, together with machine learning, to magnetic and intermetallic materials. In this role you will (1) run and interpret atomistic and multi-scale simulations that predict the properties of magnets materials, (2) build and deploy computational and ML-driven workflows that screen rare-earth-lean and rare-earth-free candidates at scale, (3) work with experimental collaborators to test and refine predictions against real-world data, and (4) contribute to the project plans, publications, and IP of the vertical. You will report to the Chief Scientist, Magnets and work closely with our AI simulation platform and data-generation teams. KEY RESPONSIBILITIES - Execute, analyze, and document DFT and multi-scale reference systems to predict phase stability, magnetocrystalline anisotropy, saturation magnetization, Curie temperature, and other properties across Fe- and Co-based intermetallic systems using U.S.-accessible alloying elements. - Develop and test computational workflows and ML interatomic potentials / surrogate models that enable high-throughput screening and optimization of rare-earth-lean and rare-earth-free permanent magnet candidates. - Lead high-fidelity data generation campaigns that feed the magnetism-aware LQM; work with platform and data-generation teams to specify the energetics, descriptors, and uncertainty estimates the workflows require. - Connect atomistic simulation outputs to microstructure- and process-level predictions (powder metallurgy, sintering, heat treatment) to keep candidate formulations manufacturable with existing industry equipment. - Collaborate with experimental validation partners to test and iterate on model predictions, contributing to the Design-Build-Test-Learn (DBTL) feedback loop between computation and the lab, ensuring that LQM models are more accurate over time. - Work within defined projects, deliverables and milestones alongside agile, multidisciplinary teams, and generate and evaluate hypotheses that influence project direction. - Communicate research findings through scientific talks, peer-reviewed publications, patents, and partner-facing technical presentations; support junior scientists and interns as the team grows. ESSENTIAL SKILLS & EXPERIENCE - PhD or equivalent experience in Solid- state Physics, Quantum Chemistry applied to Materials Science or a related field. - Hands-on experience with DFT or atomistic simulation. - Strong programming skills in Python and modern scientific-computing practices. - Experience applying machine learning, surrogate modeling, or high-throughput methods to materials problems. - Demonstrated ability to collaborate with experimental or cross-functional teams to validate and iterate on predictions. - Because this position supports specific U.S. Government contractual requirements, we can only consider US Persons (Permanent Residents or Citizens) at this time. HIGHLY DESIRED SKILLS & EXPERIENCE - Specialization in alloys, microstructure engineering, magnetism, intermetallics, or hard/functional magnetic materials. - 3+ years of hands-on experience (post-PhD or equivalent) applying DFT and atomistic simulation specifically to magnetic, intermetallic, crystal lattices, energy bands, or phonons for material science. - Proficiency with common DFT and atomistic simulation software (e.g., VASP, Quantum ESPRESSO, LAMMPS, ASE). - Experience developing or using ML interatomic potentials and AI models for materials discovery (e.g., MACE, NequIP, Allegro, or FairChem) with modern deep learning frameworks (e.g., PyTorch, JAX), and familiarity with HPC and cloud environments. - Hands-on experience with Fe-N, Mn-based, Sm-Co, or other rare-earth-lean permanent magnet systems and their bulk processing challenges. - Experience with finite-temperature magnetism and coercivity modeling, including atomistic spin dynamics and/or micromagnetic simulation. - Familiarity linking composition and microstructure to processing (powder metallurgy, sintering, heat treatment) and to application requirements such as force density, thermal operating envelope, and demagnetization margin. - Familiarity with Bayesian optimization, active learning, or autonomous discovery workflows applied to materials. - Authorship of publications in high-impact peer-reviewed journals, and/or patents, in magnetic materials, computational chemistry, or AI for materials science. - Experience operating within CHIPS Act, DOD, DOE, or other federally funded R&D programs, including awareness of export-control and IP considerations. WHY JOIN US? We offer competitive compensation, a comprehensive benefits package, and opportunities for professional growth. - Compensation: Competitive base salary commensurate with experience, plus equity and performance-based incentives. - Benefits: Comprehensive health, dental, and vision insurance; 401(k) with company match; generous parental leave. - Work-Life Balance: Flexible hybrid work arrangements, generous PTO, and a culture that respects focus time and recovery. - Career Development: Direct exposure to CHIPS Act-funded programs, senior scientific and executive leadership, mentorship, and dedicated learning budgets to support continued growth. SANDBOXAQ WELCOMES ALL We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued. Our multidisciplinary environment provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges. Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know. Read: Guidance for candidates on using AI Tools in interviews https://www.sandboxaq.com/ai-in-interviews
Enterprise Customer Support Specialist
We are looking for an experienced Enterprise Customer Support Specialist who can marry deep product expertise with a passion for scaling world-class support through automation. You will be the primary advocate for our Enterprise Pro customers, helping them maximize value, troubleshooting complex issues, and feeding their insights straight into future product development. Responsibilities - Work directly with enterprise customers—via tickets, Slack, and sometimes calls—to diagnose and resolve their most complex technical and product questions, acting as the “last line of defense” before Product and Engineering step in. - Leverage Perplexity’s own AI tooling and workflow automations to democratize world-class support at scale, continuously identifying opportunities to replace repetitive tasks with agentic, self-service solutions that feel personalized. - Build durable relationships with Enterprise users, advising on best practices, capturing structured feedback, and championing customer needs in roadmap discussions. - Own end-to-end troubleshooting: reproduce issues, isolate root causes, collaborate with engineers, and communicate clear, low-jargon explanations. - Design and maintain detailed use-case flows, playbooks, and internal runbooks that empower teammates and customers to solve recurring challenges faster. - Create and update external documentation (FAQs, help center, guides, tutorials) and internal knowledge bases to ensure information is discoverable and up-to-date. - Track and report support KPIs (response time, CSAT, resolution rates) and propose data-driven process improvements. - Participate in an on-call rotation—including some holidays or weekends—to guarantee timely global coverage. Requirements - Minimum 3+ years in B2B enterprise customer support with exposure to U.S. and E.U. markets, or similar fast-paced tech environments. - Hands-on experience prompting large-language models, plus a solid grasp of AI fundamentals (tokens, context windows, embeddings, latency vs. cost trade-offs, etc.). - Ability to translate complex technical concepts—APIs, SSO/SAML, cloud integrations—into clear, actionable guidance for non-technical stakeholders. - Demonstrated strength in critical thinking, rapid context-switching, and ruthless prioritization when juggling multiple escalations. - Proficiency with modern support platforms (Intercom, Zendesk, Jira) and basic data-analysis tools (e.g., SQL, Looker, Snowflake). - Exceptional written and spoken English; business-level fluency in at least one additional language such as Spanish, French, or German is strongly preferred. - Passion for continuous learning, high ownership, and a “do-what-it-takes” mindset in ambiguous situations. Bonus Points - Prior experience supporting AI, search, or knowledge-management products. - Familiarity with payment platforms (Stripe), enterprise identity (SSO/OAuth), and API integrations. - Knowledge of enterprise cloud-storage ecosystems (Google Drive, SharePoint, Dropbox) and data-governance best practices. Why Perplexity? - Impact at Scale – Your work directly influences hundreds of enterprise clients and millions of end-users at an unprecedented scale to encourage personalized support - Velocity & Ownership – Ship improvements quickly in a culture that values curiosity, speed, and quality - Cutting-Edge Tech – Operate at the forefront of applied LLMs and help invent how AI can redefine customer support itself.
Strategic Partnerships Manager, Germany
About the Team We are hiring a Partnerships Manager based in Germany with primary responsibility for Germany. You will own some of OpenAI’s most important business development and partnerships in the German market while contributing to broader EMEA and international priorities. The role is responsible for identifying, developing, and executing partnership strategies that accelerate adoption of OpenAI’s products across enterprise, developer, and consumer channels. About the Role You will manage relationships with strategic partners in Germany and on cross-border opportunities, ranging from global technology platforms to regional champions, including enterprise software vendors, telcos, cloud providers, and government-aligned organizations. This is a deeply cross-functional role requiring close collaboration with Product, Engineering, GTM, Legal, and Policy teams. Although the role has clear accountability for Germany, team priorities may evolve, so you must be ready to take on other markets, verticals, or partnership types. Please note that this role is based out of our Munich office, with 3 days a week required in the office. In this role, you will: - Own partnership strategy and execution for Germany, driving end-to-end partnership development and delivery in the market while contributing to broader EMEA and international priorities. - Negotiate and close strategic local and cross-border deals across commercial terms, product scope, data/privacy, brand/marketing, incentives, and expansion paths. - Lead senior partner relationships: build trust, align on joint value props, and manage complexity. - Partner closely with Product, Engineering, GTM, Legal, Policy, and regional counterparts to align roadmaps, navigate constraints, and execute partnership initiatives. - Bring deep knowledge of Germany and a strong point of view on country and sub-region differences across EMEA, informing prioritization, positioning, and partner selection. Apply that judgment flexibly when supporting opportunities beyond Germany or in new verticals. - Define success metrics and use analytical judgment to assess progress, surface risks, and communicate outcomes to internal stakeholders. You might thrive in this role if you have: - 10+ years of experience in strategic partnerships, product partnerships, business development, or general management within the technology industry. - Fluency in English and German. - Demonstrated success leading high-impact local and international partnerships involving major technology partners, including complex cross-border work. - Deep understanding of the German market, combined with experience operating across multiple countries and international markets. - Product-savvy with the ability to engage technical stakeholders credibly and influence product direction and roadmap tradeoffs. - Exceptional communication, negotiation, and executive presence. - Strong analytical instincts and comfort using data to inform decisions and communicate impact. - Ability to thrive in a fast-paced, highly ambiguous environment, operate both independently and collaboratively, and adapt quickly across changing markets, verticals, and partnership types. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Strategic Partnerships Manager, France
About the Team We are hiring a Partnerships Manager based in France with primary responsibility for the French market. You will own some of OpenAI’s most important business development and partnerships while contributing to broader EMEA and international priorities. The role is responsible for identifying, developing, and executing partnership strategies that accelerate adoption of OpenAI’s products across enterprise, developer, and consumer channels. About the Role You will manage relationships with strategic partners in France and on cross-border opportunities, ranging from global technology platforms to regional champions, including enterprise software vendors, telcos, cloud providers, and government-aligned organizations. This is a deeply cross-functional role requiring close collaboration with Product, Engineering, GTM, Legal, and Policy teams. Although the role has clear accountability for France, team priorities may evolve, so you must be ready to take on other markets, verticals, or partnership types. Please note, this role is based in Paris with 3 days per week required in the office. In this role, you will: - Own partnership strategy and execution for France, driving end-to-end partnership development and delivery in the market while contributing to broader EMEA and international priorities - Negotiate and close strategic local and cross-border deals across commercial terms, product scope, data/privacy, brand/marketing, incentives, and expansion paths. - Lead senior partner relationships: build trust, align on joint value props, and manage complexity. - Partner closely with Product, Engineering, GTM, Legal, Policy, and regional counterparts to align roadmaps, navigate constraints, and execute partnership initiatives. - Bring deep knowledge of France and a strong point of view on country and sub-region differences across EMEA, informing prioritization, positioning, and partner selection. Apply that judgment flexibly when supporting opportunities beyond France or in new verticals. - Define success metrics and use analytical judgment to assess progress, surface risks, and communicate outcomes to internal stakeholders. You might thrive in this role if you have: - 10+ years of experience in strategic partnerships, product partnerships, business development, or general management within the technology industry. - Fluency in English and French - Demonstrated success leading high-impact local and international partnerships involving major technology partners, including complex cross-border work. - Deep understanding of France, combined with experience operating across multiple countries and international markets. - Product-savvy with the ability to engage technical stakeholders credibly and influence product direction and roadmap tradeoffs. - Exceptional communication, negotiation, and executive presence - Strong analytical instincts and comfort using data to inform decisions and communicate impact - Ability to thrive in a fast-paced, highly ambiguous environment, operate both independently and collaboratively, and adapt quickly across changing markets, verticals, and partnership types 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.
Solutions Engineer, Ads Solutions - San Francisco
About the Team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Ads Solutions team partners closely with advertisers to deeply understand their businesses and needs, helping inform the development of products and solutions that drive meaningful revenue growth and long-term success on the platform—while maintaining strong standards for user trust and platform integrity. About the Role We’re looking for an Ads Solutions Engineer to partner with advertisers and agencies throughout the pre-sales and growth lifecycle, helping them successfully evaluate, launch, and scale on OpenAI’s advertising platform. You will serve as the technical expert in the sales process, translating advertiser objectives into scalable technical solutions across measurement, integrations, data activation, and campaign execution. This role sits at the intersection of sales, product, and engineering. You’ll work closely with Client Partners, Customer Success Managers, Product, Engineering, Policy, and Operations teams to remove technical blockers, accelerate revenue growth, and shape the future of OpenAI’s ads platform. This role is based in our San Francisco HQ and we offer generous relocation support for new hires. In this role, you will: - Partner with Client Partners during the sales cycle to provide technical expertise that unlocks new business and accelerates deal closure. - Lead technical discovery with advertisers and agencies to understand data flows, martech stack, measurement requirements, and activation goals. - Design and recommend implementation approaches for pixels, APIs, server-to-server integrations, identity solutions, offline conversions, and measurement frameworks. - Guide advertisers through onboarding and launch readiness, ensuring successful setup of tracking, attribution, audience signals, and reporting. - Troubleshoot technical issues related to implementation, signal quality, delivery, and measurement performance. - Build compelling demos, proofs of concept, and technical narratives that demonstrate the value of OpenAI’s ads solutions. - Partner cross-functionally with Product and Engineering to escalate issues, advocate for customer needs, and influence roadmap priorities. - Create repeatable technical documentation, playbooks, and best practices that scale advertiser adoption globally. - Help train internal sales and success teams on technical capabilities, integrations, and evolving product features. You will thrive in this role if you: - Have 5+ years of experience in solutions engineering, sales engineering, technical account management, adtech, martech, or a related client-facing technical role. - Have hands-on experience with digital advertising measurement, pixels, conversion APIs, mobile measurement, identity solutions, or CRM/data integrations. - Understand advertiser ecosystems including tag managers, CDPs, analytics tools, attribution platforms, and data warehouses. - Can explain complex technical concepts clearly to both technical practitioners and executive stakeholders. - Have experience writing SQL, using APIs, debugging implementation issues, or working with structured datasets. - Are comfortable operating in ambiguous, fast-moving environments and helping build processes from scratch. - Demonstrate strong ownership, bias for action, and customer empathy. - Care deeply about responsible platform growth, user trust, and long-term partner success. 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.
Product Communications Lead, Business
About the Team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. Our Communications team supports that mission by explaining our technology, our values, and how we safely build powerful AI. We help business leaders see what AI can make possible for their organizations, show how customers use OpenAI’s products, and explain how AI is changing the way people work. About the Role We are looking for a senior product communications leader to own OpenAI’s B2B product story across business, trade, and nontraditional media. You will lead B2B communications for major product and platform moments, translate technical capabilities into clear business value, and build a sustained editorial program grounded in customer proof. Your work will help business leaders understand the problems our products solve and the outcomes they can enable using frontier intelligence. This is an exceptionally fast-paced, hands-on role that spans every altitude of communications. You will move from setting strategic positioning and shaping executive narratives to writing launch materials, developing media pitches, and delivering the details that make a story land. Working closely with Product, Research, Marketing, Sales, and our central Product Communications team, you will identify buyer needs, substantiate our claims, and carry a clear, consistent B2B story into the market. This role reports to the Head of Business Communications. In this role, you will: - Set the positioning for OpenAI’s business products, connecting new capabilities to customer needs, the work they enable, and the evidence behind our claims. - Lead business storytelling for priority launches across Codex, ChatGPT Work, API and developer capabilities, agents, and other enterprise products, in partnership with central Product Communications and product owners. - Build a sustained editorial program between launches, using customer stories, explainers, and executive perspectives to show how our products create value in practice. - Turn complex product developments into clear, accurate stories for people who buy, build with, or assess our products. - Build relationships with reporters and other voices who shape enterprise technology decisions, developing stories that extend beyond launch-day coverage. - Drive launch execution from early messaging and customer proof through spokesperson preparation, media outreach, and learning from the response. - Advise senior partners on the business story, clarify ownership and expert review early, and help teams make sound decisions quickly when priorities change. You might thrive in this role if you have: - Deep experience communicating complex enterprise technology in terms of business needs and outcomes. - A record of leading significant launches and building a durable market narrative between them. - Excellent writing, with a habit of explaining technical capabilities without jargon. - Strong judgment about what enterprise buyers need to know, what customer evidence supports, and where future ambition begins. - The confidence to work closely with senior executives and bring teams to a decision under pressure. - The ability to move from strategy into hands-on execution at speed, and curiosity about new ways to reach business audiences. 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.
Partner Solutions Engineer, Ads Solutions - San Fr...
About the Team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Ads Solutions team partners closely with advertisers to deeply understand their businesses and needs, helping inform the development of products and solutions that drive meaningful revenue growth and long-term success on the platform—while maintaining strong standards for user trust and platform integrity. About the Role We’re looking for an Ads Solutions Engineer to partner with advertisers and agencies throughout the pre-sales and growth lifecycle, helping them successfully evaluate, launch, and scale on OpenAI’s advertising platform. You will serve as the technical expert in the sales process, translating advertiser objectives into scalable technical solutions across measurement, integrations, data activation, and campaign execution. This role sits at the intersection of sales, product, and engineering. You’ll work closely with Client Partners, Customer Success Managers, Product, Engineering, Policy, and Operations teams to remove technical blockers, accelerate revenue growth, and shape the future of OpenAI’s ads platform. This role is based in our San Francisco HQ and we offer generous relocation support for new hires. In this role, you will: - Partner with Client Partners during the sales cycle to provide technical expertise that unlocks new business and accelerates deal closure. - Lead technical discovery with advertisers and agencies to understand data flows, martech stack, measurement requirements, and activation goals. - Design and recommend implementation approaches for pixels, APIs, server-to-server integrations, identity solutions, offline conversions, and measurement frameworks. - Guide advertisers through onboarding and launch readiness, ensuring successful setup of tracking, attribution, audience signals, and reporting. - Troubleshoot technical issues related to implementation, signal quality, delivery, and measurement performance. - Build compelling demos, proofs of concept, and technical narratives that demonstrate the value of OpenAI’s ads solutions. - Partner cross-functionally with Product and Engineering to escalate issues, advocate for customer needs, and influence roadmap priorities. - Create repeatable technical documentation, playbooks, and best practices that scale advertiser adoption globally. - Help train internal sales and success teams on technical capabilities, integrations, and evolving product features. You will thrive in this role if you: - Have 5+ years of experience in solutions engineering, sales engineering, technical account management, adtech, martech, or a related client-facing technical role. - Have hands-on experience with digital advertising measurement, pixels, conversion APIs, mobile measurement, identity solutions, or CRM/data integrations. - Understand advertiser ecosystems including tag managers, CDPs, analytics tools, attribution platforms, and data warehouses. - Can explain complex technical concepts clearly to both technical practitioners and executive stakeholders. - Have experience writing SQL, using APIs, debugging implementation issues, or working with structured datasets. - Are comfortable operating in ambiguous, fast-moving environments and helping build processes from scratch. - Demonstrate strong ownership, bias for action, and customer empathy. - Care deeply about responsible platform growth, user trust, and long-term partner success. 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.
Operating Systems Engineer, Linux Kernel | Consume...
ABOUT THE TEAM OpenAI Consumer Devices is building the next generation of products that bring powerful AI into people’s everyday lives. Guided by OpenAI’s mission to ensure AGI benefits all of humanity, our team combines world-class researchers, engineers, designers, and operators who care deeply about creating useful, intuitive, and responsible technology. You’ll have the opportunity to work alongside exceptional people on ambitious, zero-to-one challenges at the intersection of hardware, software, and AI. This is a chance to help define an entirely new category of products—and shape how people experience AI in the future. Our team works across custom silicon, embedded systems, operating systems, and cloud services to build reliable consumer devices and the platforms behind them. We connect kernel development with the broader software stack to deliver complete product capabilities. ABOUT THE ROLE As an Operating Systems Engineer focused on the Linux kernel, you will design, develop, and maintain the kernel capabilities that underpin OpenAI’s consumer devices. You’ll bring deep expertise in one or more Linux kernel subsystems and carry solutions through the higher-level software stack. Your ownership will extend into the userspace services, libraries, tools, and interfaces needed to deliver complete product features. You’ll shape the boundaries between kernel and userspace, make design decisions across the stack, and see your work through development, integration, and production. IN THIS ROLE, YOU WILL: - Build kernel capabilities: Design, implement, and maintain Linux kernel subsystem changes that support device capabilities and product requirements. - Own features across the stack: Choose appropriate kernel and userspace boundaries, and build the interfaces and supporting components needed to deliver reliable features in shipped products. - Debug complex system behavior: Use tracing, profiling, instrumentation, and diagnostic tools to resolve correctness, concurrency, performance, power, and reliability issues in development and production. - Measure and validate improvements: Develop tests and representative workloads to demonstrate repeatable performance, power, and reliability gains and detect regressions across kernel and userspace. - Partner across disciplines: Work with hardware, firmware, platform, and application engineers to turn system requirements into understandable, maintainable solutions. - Contribute sustainable kernel changes: Prepare reviewable patches, incorporate feedback, and contribute fixes and improvements upstream where appropriate. Maintain product-specific changes responsibly as the kernel evolves. MINIMUM QUALIFICATIONS - Substantial hands-on experience designing, developing, and debugging one or more Linux kernel subsystems, such as memory management, storage, networking, high-speed peripherals, power management, scheduling, or virtualization. - Proficiency in C for kernel and low-level systems development. - Strong understanding of kernel concurrency, synchronization, memory ownership, and resource lifetimes. - Experience delivering systems capabilities across kernel and userspace, including designing interfaces and diagnosing problems that cross that boundary. - Understanding of Linux kernel development principles and practices: maintainable designs, appropriate abstractions, reviewable patches, compatibility awareness, and careful validation to prevent regressions. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Are proficient in Rust for systems programming, with experience developing Linux kernel code in Rust alongside C. - Participate in the Linux community through patches, code review, testing, bug reports, technical discussions, or collaboration with subsystem maintainers. - Take ownership of complete solutions and follow problems across system boundaries. - Make careful tradeoffs among functionality, security, performance, power, and maintainability, and explain your decisions with evidence. - Work constructively through technical review and communicate clearly with teammates across disciplines. 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.
Operating Systems Engineer, Connectivity & Network...
ABOUT THE TEAM OpenAI Consumer Devices is building the next generation of products that bring powerful AI into people’s everyday lives. Guided by OpenAI’s mission to ensure AGI benefits all of humanity, our team combines world-class researchers, engineers, designers, and operators who care deeply about creating useful, intuitive, and responsible technology. You’ll have the opportunity to work alongside exceptional people on ambitious, zero-to-one challenges at the intersection of hardware, software, and AI. This is a chance to help define an entirely new category of products—and shape how people experience AI in the future. Our team works across systems software and product engineering to build reliable consumer devices and the platforms behind them. We develop the connectivity and networking foundations that support communication across OpenAI products and systems. ABOUT THE ROLE As an Operating Systems Engineer focused on connectivity and networking, you will design, develop, and maintain the OS capabilities that enable reliable, secure, and efficient communication across OpenAI products and systems. Your work will span Wi-Fi and Bluetooth frameworks, IP networking, and advanced network services and policy. You’ll develop OS services, libraries, and interfaces for a broad range of connectivity needs, make design decisions across software boundaries, and carry solutions through development, integration, and production. IN THIS ROLE, YOU WILL: - Build connectivity foundations: Design, implement, and maintain OS services, frameworks, and APIs for Wi-Fi, Bluetooth, and IP networking. - Develop reusable network capabilities: Build connection management, network configuration and selection, service discovery, and routing capabilities. - Enable secure communication: Develop network services and policies for secure communication, traffic management, and isolation across varied network environments. - Resolve issues across the stack: Investigate correctness, concurrency, interoperability, and reliability issues across OS components, protocol stacks, and application interfaces. - Improve performance and efficiency: Use tracing, profiling, and repeatable measurements to improve latency, throughput, resource use, and power efficiency. - Validate real-world reliability: Build diagnostic tools, representative workloads, and automated tests to validate interoperability and failure recovery across changing network and operating conditions, measure reliability improvements, and protect gains with regression coverage. - Deliver maintainable product capabilities: Partner with hardware, firmware, security, platform, and application engineers to translate system requirements into shipped capabilities and clear, maintainable interfaces for integration and troubleshooting. MINIMUM QUALIFICATIONS - Substantial hands-on experience developing Wi-Fi and Bluetooth functionality in operating-system frameworks, system services, or connectivity middleware. - Strong understanding of IP networking, including IPv4/IPv6, TCP/UDP, DNS, DHCP, routing, and socket behavior, with practical experience implementing and debugging networked systems. - Experience implementing advanced networking capabilities in one or more areas such as routing and network policy, VPNs and tunneling, traffic management, or network isolation. - Experience designing and maintaining platform APIs and the services behind them, including connection lifecycle management and integration with other OS components. - Proficiency in C++ for systems development, including concurrent programming, memory ownership, and resource lifetime management. - Strong understanding of asynchronous systems, interprocess communication, and failure handling. - Experience diagnosing complex connectivity issues using system traces, protocol captures, logs, and structured debugging. - Ability to work across disciplines, make sound technical tradeoffs, and carry solutions from investigation through implementation and validation. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have delivered connectivity capabilities in shipped products and resolved interoperability issues across software stacks and third-party implementations. - Bring depth in transport protocols and performance, including QUIC, congestion control, multi-path networking, or operation across multiple network interfaces. - Have experience with network virtualization, proxies, NAT, firewalls, or policy enforcement within an operating system. - Have improved connectivity performance or power consumption, supported by repeatable measurements and regression coverage. - Understand security and privacy considerations in connectivity services, including authentication, permissions, and credential handling. - Are proficient in Rust for systems programming. - Take ownership of complete solutions and follow problems across framework, service, and underlying stack boundaries. - Use experiments and measurements to challenge assumptions and guide technical decisions. - Work constructively across disciplines and make careful tradeoffs among functionality, security, reliability, performance, power, and maintainability. 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.
Executive Director, Asset Team Lead
Your work will change lives. Including your own. The Impact You’ll Make As the Recursion clinical asset pipeline continues to mature through key inflection points, the advancing assets require leaders who can translate scientific complexity into strategic clarity. In the role of Executive Director, Asset Team Lead, you will drive the strategic positioning of assets, ensuring that decisioning is grounded in competitive reality, differentiated by Recursion OS insights, and built to move with urgency for patient benefit. You will play a pivotal role ensuring advanced computational approaches and proprietary Recursion OS/ClinTech advantages are leveraged across the portfolio continuum, redefining traditional paradigms of drug development. Working across functional lines, you will partner with preclinical, clinical and platform teams, promoting communication, alignment and optimization of functional processes to ensure delivery of portfolio goals & transformative medicines for patients. In this role, you will: - Define and drive asset strategy for small molecule clinical programs in oncology and immunology/inflammation — integrating competitive positioning, mechanistic differentiation, biomarker strategy, and patient segmentation to sharpen go/no-go and prioritization decisions across the portfolio - Translate Recursion OS and ClinTech insights into strategic asset advantages, ensuring proprietary data and computational insights are maximally enabling for advancement of the drug discovery and development portfolio - Develop and pressure-test the competitive narrative for each oncology and I&I portfolio asset, building the evidence base that will inform leadership decisions, partnering discussions and investor communications - Partner with functional line leaders across clinical development, BD, finance and platform teams to ensure resource allocation reflects strategic conviction and supports the most impactful programs and workstreams - Propagate the Recursion mindset of radically changing lives by continuously raising the bar on how assets are advanced, differentiated, and delivered to patients with significant unmet need The Team You’ll Join As an Executive Director, Asset Team Lead, you will work across the asset portfolio, operating as a senior strategic partner to leaders in Clinical Development, Discovery, ClinTech, Platform and BD. The Portfolio Team is execution-minded and analytically rigorous — fluent in both science and AI — and responsible for industrializing Recursion's innovative science to advance medicines that matter. We break traditional silos, leveraging AI-powered platforms across data analysis, predictive modeling, RWE integration and patient stratification, all with the goal of optimizing asset positioning for the greatest benefit to patients. The Experience You’ll Need - A PhD in life sciences or related scientific discipline with deep expertise in drug discovery & development required - 10+ years of biotech/pharma experience with a proven track record of asset-level strategic leadership, advancing programs through clinical stage-gates with demonstrable impact on portfolio value - Deep expertise in the development of small molecule therapeutics for oncology and immunology/inflammation required, expertise in rare disease a bonus - Experience leveraging computational approaches and data-driven platforms to sharpen asset strategy and clinical decision-making - Proven ability to build and articulate the strategic and competitive case for clinical assets – integrating mechanistic differentiation, competitive dynamics, regulatory and market considerations. - Strong financial acumen; able to engage credibly on cross-functional resourcing, asset valuation, and portfolio trade-offs - Exceptional executive presence – able to synthesize complexity into clear, conviction-led recommendations and present with confidence to senior leadership and external partners Working Location & Compensation: This is a remote position based in the United States with required periodic travel. In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package. LI-EP1 LI-REMOTE The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com , or connect on X and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recursion leverages AI in our hiring process. We use Greenhouse's Talent Matching AI technology feature to help review applications against the skills and experience we've identified as important for this role. It analyzes your resume and application responses to assess how closely your qualifications match our criteria - but all decisions are made by our human recruiters and hiring managers, including whether to move to the next phase of review. Talent Matching does not automatically advance or reject any candidate. By submitting your application, you acknowledge that you have been informed about and consent to this use of the Talent Matching tool in our review process. Please refer to our Recursion Privacy Policy at https://www.recursion.com/privacy-notice/ for more information about our processing of personal data and your rights. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
Software Engineer, Plugin Ecosystem
About the Team The Plugin Ecosystem team builds the platform and product experiences that let people extend ChatGPT and Codex. We work on plugins, skills, connectors, interactive apps, and open standards like the Model Context Protocol (MCP). We make plugins easy to discover, install, and use, ensure they’re invoked at the right time, and help people find new ways to get value from them. We want anyone to be able to turn a useful workflow into a plugin, share it, and have other people use it. A plugin can package instructions and skills with connections to the tools and data it needs. Our work spans creation and publishing, reliable execution across our products, clear permissions and approvals, and the controls admins need to bring plugins to their organizations. We work closely with research to improve plugin quality as models evolve. About the Role We’re looking for product-minded engineers to build the systems behind plugins and improve how models use them. Depending on your focus, you may scale generalist infrastructure and identity-related integrations across products, or improve plugin quality at the intersection of backend engineering and applied AI or work on the product experience itself to drive plugin usage. You’ll work across teams and own problems from diagnosis and design through implementation and release. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Design and ship APIs, SDKs, and services that developers use to extend ChatGPT and Codex. - Build intuitive experiences that help users discover, install, and use plugins to get more done. - Make plugins easier to create, test, publish, update, and share. - Improve when and how models use plugins, from choosing the right plugin to completing a task. Work with Research to diagnose failures and measure improvements as models evolve. - Improve plugin reliability and interaction quality across ChatGPT and Codex, including interactive apps, with clear error messages and recovery paths. - Build consistent permissions, approvals, and admin controls that help individuals and organizations confidently adopt plugins. - Work with developers and partners to turn recurring problems into improvements to the platform, tooling, and documentation. - Collaborate across engineering, Product, Research, Security, and Trust & Safety to scale plugin infrastructure and deliver safe, reliable execution. You might thrive int his role if you: - Care about product quality and can make complex capabilities feel intuitive, from discovering a useful plugin to completing a task with it. - Have strong opinions about APIs and abstractions, and can explain the tradeoffs behind your decisions. Experience with identity, permissions, or integration-heavy systems is especially valuable. - Enjoy talking with users and developers, understanding what they’re trying to accomplish, and turning recurring problems into product and platform improvements. - Can move between product questions and technical details, collaborate across teams, and take an ambiguous problem through to production. - Are comfortable working across web interfaces and backend systems. Experience building applied AI systems, diagnosing model–tool interactions, and measuring reliability and quality is especially valuable. - Have built products people rely on or software that other developers use, such as an API or SDK, an open-source project, a developer platform, or internal tools with real users. 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.
Product Manager, Enterprise Identity
About the Team: About the Team: Our team brings OpenAI’s most capable technology to the world through our products. We've released ChatGPT, GPT6-Astra, and Codex. We empower consumers and developers alike to use and access our state-of-the-art AI models, allowing them to do things that they’ve never been able to before. Across OpenAI’s enterprise product suite, it is critical to offer organizations the technology to securely establish, connect, and manage people and non-human identities across OpenAI products. The Enterprise Identity team builds shared identity foundations and enterprise controls for authentication and federation, provisioning and lifecycle, secure access, session management and revocation, administration, auditability, and access visibility so identity and access can be governed consistently across products. We build the foundational systems that enable organizations to adopt OpenAI products with confidence.. Our work underpins enterprise security, IT integration, and the safe deployment of AI at scale, making sure the right people have the right access at the right time. About the Role: We’re looking for an experienced Product Manager for OpenAI’s Enterprise Identity product efforts. You will lead efforts to deliver critical capabilities such as SSO, SCIM, and identity federation across all OpenAI products, enabling enterprises to securely manage users, data, and access in complex organizational environments. This role requires close collaboration with engineering, security, GTM, and customer-facing teams to ensure our identity systems meet the needs of organizations ranging from high-growth startups to the world’s largest enterprises. Your work will directly enable safe, large-scale enterprise adoption of frontier AI. This position is based in San Francisco, CA, with relocation assistance available. In this role, you will: - Define the strategy and execute the roadmap for enterprise identity, spanning SSO, SCIM, and advanced admin controls. - Partner with customers and internal teams to design features that meet diverse enterprise security and compliance needs. - Collaborate with engineering and GTM to evolve the enterprise identity data model for complex organizational hierarchies and administration models. - Lead cross-functional efforts to integrate enterprise identity across ChatGPT, API, and new product surfaces. - Establish and track KPIs to measure product success, adoption, and reliability. You might thrive in this role if you: - Have 10+ years of product management experience leading large-scale enterprise products. - Have strong product judgment and can simplify complex problems. - Work effectively with technical teams and ship high-quality products. - Are analytical, user-focused, and an excellent cross-functional communicator. - Care deeply about using AI to improve how businesses operate. 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.
Vice President, Medical Affairs
Your work will change lives. Including your own. The Impact You’ll Make At Recursion, we are decoding biology to radically improve lives. As Vice President, Medical Affairs, you will help shape how Recursion translates breakthrough science, clinical data, real-world evidence, and AI-enabled insights into meaningful impact for patients, clinicians, investigators, and health systems. You will build and lead the Medical Affairs strategy across Recursion’s advancing clinical portfolio, with an initial focus on programs in areas of significant unmet need, including oncology, rare disease, immunology, and other priority therapeutic areas. This is a high-impact, cross-functional leadership role for a strategic medical affairs leader who can operate from early development through launch readiness, bring the external medical voice into portfolio decisions, and establish scalable capabilities for scientific engagement, evidence generation, medical communications, and medical excellence. In this role, you will: - Develop and lead integrated Medical Affairs strategies for priority assets, including scientific narrative, evidence gaps, stakeholder engagement, publication strategy, medical education, advisory boards, field medical planning, and launch readiness. - Provide Medical Affairs support on cross-functional asset teams, partnering with Clinical Development, Regulatory Affairs, Development Sciences, HEOR/RWE, Biostatistics, Clinical Operations, Portfolio Strategy, Patient Advocacy, Communications, Legal/Compliance, and Business Development, where appropriate. - Build evidence-generation plans that support asset differentiation, patient benefit, clinical adoption, and value demonstration, including real-world evidence, HEOR, epidemiology, natural history, burden of disease, treatment patterns, and outcomes-focused studies. - Translate external insights from healthcare professionals, investigators, patient communities, payers, health systems, and scientific leaders into actionable recommendations for development strategy, trial design, endpoints, education needs, and evidence priorities. - Lead scientific engagement strategy with key opinion leaders, digital opinion leaders, investigators, cooperative groups, patient advocacy organizations, professional societies, and other external stakeholders through compliant, high-quality scientific exchange. - Lead congress and conference strategy for priority programs, including planning and execution for major scientific meetings such as ASCO, ESMO, AACR, AAN, and other relevant medical congresses; partner cross-functionally on abstracts, presentations, scientific narratives, medical booths, KOL engagement, and internal preparation. - Partner with Recursion’s data science, platform, and Decision Science teams to explore responsible use of AI-enabled approaches for medical insights, evidence synthesis, stakeholder mapping, scientific communication, and measurement of medical impact. - Establish the medical communication strategy for assigned assets, including publications, congress abstracts and presentations, lexicon, scientific platform, FAQs, medical information content, and internal scientific training. - As the portfolio matures, design and build a structured, scalable Medical Affairs organization, including fit-for-purpose capabilities across medical strategy, field medical, medical communications, medical information, evidence generation, congress planning, insights, and medical excellence. - Establish governance, operating rhythms, vendor partnerships, performance metrics, and compliant processes that enable Medical Affairs to support Recursion’s growth from clinical-stage development through potential launch readiness. The Team You’ll Join You will join Recursion’s Clinical Development organization, reporting to the Chief Medical Officer. The Clinical Development team is an empowered, execution-minded group responsible for translating Recursion’s innovative science into medicines for patients. You will work closely with leaders across Development, Regulatory, Development Sciences, Clinical Operations, Data Science, Biology, Chemistry, Portfolio Strategy, Communications, Legal/Compliance, and future commercialization functions. Together, you will help ensure Recursion’s clinical programs are informed by robust evidence, external medical insight, patient need, and the full potential of the RecursionOS. The Experience You’ll Need - Advanced clinical or scientific degree required; MD, DO, PharmD, PhD, or equivalent advanced degree strongly preferred - 15+ years of biotech or pharmaceutical industry experience, including significant leadership experience in Medical Affairs - Experience building and leading Medical Affairs strategy for clinical-stage or launch-stage assets, ideally in oncology, rare disease, immunology, or other specialty therapeutic areas. - Proven ability to lead integrated evidence planning, including RWE, HEOR, epidemiology, burden-of-disease, natural history, treatment-pattern, outcomes, and value-focused studies - Strong understanding of drug development from early clinical development through launch readiness and lifecycle planning, including how Medical Affairs contributes to trial design, endpoint strategy, external engagement, publications, and evidence generation. - Demonstrated success in engaging KOLs, investigators, patient advocacy organizations, professional societies, payers/HTA stakeholders, and other external experts through compliant scientific exchange. - Experience developing scientific platforms, publication plans, congress strategies, advisory boards, medical education initiatives, and medical information resources. - Strong working knowledge of relevant compliance expectations, including scientific exchange, medical review, publication practices, advisory board governance, and interactions with healthcare professionals across the US & globally Working Location & Compensation: This is a fully remote opportunity with occasional travel requirements. Travel may be necessary from time to time to support collaboration, team events, customer meetings, or other business needs. At Recursion, we believe that every employee should be compensated fairly. Based on the skills, experience, and qualifications needed for this role, the estimated annual base salary range is: - New York City, Boston, & San Francisco Bay Area(s): $358,930–$449,240 - Salt Lake City & all other U.S. locations: $326,300–$408,400 In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package. LI-DB1 LI-REMOTE The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com , or connect on X and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recursion leverages AI in our hiring process. We use Greenhouse's Talent Matching AI technology feature to help review applications against the skills and experience we've identified as important for this role. It analyzes your resume and application responses to assess how closely your qualifications match our criteria - but all decisions are made by our human recruiters and hiring managers, including whether to move to the next phase of review. Talent Matching does not automatically advance or reject any candidate. By submitting your application, you acknowledge that you have been informed about and consent to this use of the Talent Matching tool in our review process. Please refer to our Recursion Privacy Policy at https://www.recursion.com/privacy-notice/ for more information about our processing of personal data and your rights. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
Research Program Manager, Frontier Assurance
About the Team The Frontier Assurance team brings independent scrutiny into OpenAI’s safety decisions and helps the public understand and assess our safety work. We lead third-party assessments and safeguard testing for OpenAI’s flagship launches, pilot new assurance mechanisms such as embedded auditing, run our misalignment disclosure process, and incorporate independent expert input as evidence for critical safety decisions. About the Role As a Research Program Manager on the Frontier Assurance team, you will build programs that bring independent expertise into frontier AI safety decisions and make the evidence behind those decisions understandable to the public. You will lead external research partnerships and third-party assessments, coordinate public safety documentation, and develop new approaches to independent scrutiny and transparency. Working across research, engineering, product, policy, and communications, you will help ensure external findings inform concrete decisions and that our public explanations accurately reflect the evidence, limitations, and remaining uncertainty. We’re looking for people with deep experience in research partnerships and program management with technical and research teams. This role combines partnership management, cross-functional coordination, an understanding of AI safety research, alignment, and evaluations, and strong communication skills. You will work with researchers and engineers within OpenAI and across the external community to initiate projects, set ambitious goals and milestones, and drive execution across multiple teams. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Design and run third-party assessment programs for frontier models and safeguards, including independent evaluations, adversarial testing, and new approaches such as embedded auditing. Work with researchers and external partners to define assessment questions, scope, access, timelines, and deliverables. - Build and manage strategic research partnerships with third-party evaluators, academic labs, and other independent experts, prioritizing expertise, independence, and diversity of perspectives. Enable rigorous research, including work that challenges internal assumptions. - Bring external findings to safety decision-makers and translate them into actionable recommendations for safeguards, deployment, product, and policy. Track follow-up actions and ensure partners understand how their input was considered. - Partner with research, product, policy, and communications teams to explain the evidence behind OpenAI’s safety approach: what we tested, what we learned, how findings shaped safeguards and deployment decisions, and where limitations and uncertainty remain. Translate complex technical results into accurate, accessible communication for expert and public audiences. - Lead public transparency programs, including system cards, summaries of third-party assessments, and updates on significant findings and follow-up actions. Develop approaches to sharing methods, results, and limitations while protecting privacy, security, and sensitive information. - Create channels for researchers and civil society to ask questions, provide feedback, and inform future assessments and transparency efforts, including beyond individual launches. - Own program goals, milestones, dependencies, and risks across assessment and transparency work, keeping internal and external stakeholders informed and resolving obstacles to execution. You might thrive in this role if you: - Have an understanding of AI evaluations and measurement, and can engage with technical teams on evaluation design and results. - Can interpret evaluation findings and communicate what they do and do not establish, including methodological limitations, uncertainty, and disagreement. - Have experience building research partnerships and managing external stakeholders, especially academic researchers and independent experts. - Can synthesize technical and social science research into clear executive summaries and accessible explanations for public audiences. - Have experience delivering technical publications or public reports across multiple contributors, and exercising judgment about what to share, with whom, and when. - Have worked cross-functionally across product, research, and engineering teams and can coordinate complex programs with policy and communications partners. - Have an understanding of and interest in frontier AI safety and policy. 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.
Documentation Engineer
ABOUT US: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: Modal considers high-quality documentation to be essential for developer experience, and we see docs becoming even more important as agents increasingly deploy and operate Modal Apps. We are looking for a content-minded engineer who will partner with our product teams to curate Modal’s technical documentation and maintain a high quality bar across multiple dimensions. RESPONSIBILITIES: - Thinking holistically about content architecture and how the docs should evolve as Modal introduces new products and features - Innovating on novel documentation formats and delivery channels to optimize agent productivity, in collaboration with our Agent DX research team - Developing content standards, style guides, and automated enforcement mechanisms to ensure consistent style and high quality - Building and maintaining automated pipelines that will enforce the correctness of code examples and prose descriptions - Collaborating with engineers across the company to author documentation that is clear, consistent, and correct REQUIREMENTS: - 3+ years of experience in an engineering, product, or developer relations role, ideally in the devtools or infrastructure space - Experience authoring and/or editing high-quality technical content for developers - Knowledge of agentic engineering workflows and best practices - Comfort with modern software development practices (version control, CI/CD, testing)
Public Sector Sales Lead
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 Anthropic's Public Sector Sales Lead for France, you will be the face of Anthropic to the French State. This is a founding, zero-to-one role: there is no public sector team in France today, and you will build our strategy, our routes to market and our first strategic relationships from the ground up. Reporting to our EMEA South leadership, you will lead the adoption of safe, frontier AI across central government, starting with the largest ministries. You will work hand in hand with our Public Policy lead in Paris, because in few companies is policy as central to the mission as it is at Anthropic, and with Partnerships, Legal, Security and Product to put in place the commercial and compliance frameworks the State needs in order to work with us at scale. This is a senior individual contributor role. We expect you to have run a public sector business and led teams, and to be energised by stepping back into a hands-on seat where you build it yourself and where the size of your team says nothing about the size of your scope. In the first year, success is measured less by a large number and more by putting Anthropic on the map with the French State: a clear strategy, the right foundations and our first strategic agreements. Responsibilities - Define and own Anthropic's public sector go-to-market strategy for France: where we play first, how we win, and what we need to build to get there - Be the senior face of Anthropic to the French State, building trusted relationships with ministerial cabinets, senior officials and digital and technology leaders across the largest ministries, including defence, finance and justice - Own the full sales cycle on our first strategic public sector opportunities, from first engagement through procurement route, close, deployment and expansion - Work with Partnerships, Legal and Finance to put in place the routes to market the State needs, including resale and partner channels, framework agreements and central purchasing bodies such as UGAP - Partner day to day with our Public Policy lead in France so that commercial and policy engagement reinforce each other, and stay aligned with French and European AI strategy and regulation - Lead the conversation with customers on data sovereignty, security and compliance (for example SecNumCloud and the State's cloud doctrine), and work with Security, Legal and Product on how we meet those requirements - Prove value with customers alongside a shared Applied AI architect, cloud providers and systems integrators, doing much of the groundwork yourself in the early stages - Learn from and contribute to our UK and US public sector teams, bringing what works to France and sharing what you learn - Create the playbooks, references and operating rhythm that will let us scale a public sector team in France over time You may be a good fit if you have - 15+ years in enterprise technology sales, including significant time running a public sector business unit or leading sales teams that sell to French central government - The appetite to move from a leadership role into a hands-on senior individual contributor role with no team at the outset - Evidence that you thrive building from zero: a new market, a new business line or an early-stage company, where systems, processes and support were not yet in place - A track record of landing large, complex and genuinely transformative agreements with major ministries, as the person leading the deal - A deep, senior network across central government, and the credibility to engage at director and cabinet level as well as with technical teams - Practical command of French public procurement, including tenders, framework agreements, central purchasing bodies and partner or resale routes - Real expertise in data sovereignty, security and compliance requirements in the French State, and experience leading those conversations with customers - Experience of, or a clear aptitude for, working closely with public policy or government affairs colleagues - Ownership and resilience: you treat what is missing as something to build, and you bring colleagues with you to build it - The technical curiosity to learn our products in depth and hold credible conversations with both engineering leaders and senior officials - Fluent French and English, with excellent written and spoken communication in both - Willingness to go through French security clearance (habilitation) should specific accounts require it - A genuine commitment to safe and beneficial AI, and the ability to articulate why it matters for public institutions À propos du poste En tant que Responsable des ventes secteur public d'Anthropic pour la France, vous incarnerez Anthropic auprès de l'État français. Il s'agit d'un poste fondateur, à construire de zéro : il n'existe aujourd'hui aucune équipe secteur public en France, et vous bâtirez notre stratégie, nos voies d'accès au marché et nos premières relations stratégiques en partant d'une page blanche. Ce poste est rattaché à la direction EMEA Sud. Vous piloterez l'adoption d'une IA de pointe et sûre au sein de l'administration centrale, en commençant par les plus grands ministères. Vous travaillerez main dans la main avec notre responsable des affaires publiques à Paris — dans peu d'entreprises les politiques publiques sont aussi centrales à la mission que chez Anthropic — ainsi qu'avec les équipes Partenariats, Juridique, Sécurité et Produit, afin de mettre en place les cadres commerciaux et de conformité dont l'État a besoin pour travailler avec nous à grande échelle. Il s'agit d'un poste senior de contribution individuelle. Nous attendons de vous que vous ayez dirigé une activité secteur public et encadré des équipes, et que la perspective de revenir à un poste pleinement opérationnel vous enthousiasme : un poste où vous construisez vous-même, et où la taille de votre équipe ne dit rien de l'étendue de votre périmètre. La première année, la réussite se mesurera moins à un grand chiffre qu'à votre capacité à installer Anthropic auprès de l'État français : une stratégie claire, les bonnes fondations et nos premiers accords stratégiques. Responsabilités - Définir et porter la stratégie de mise sur le marché d'Anthropic pour le secteur public en France : nos premiers terrains d'action, nos leviers de succès et ce qu'il nous faut construire pour y parvenir - Incarner Anthropic au plus haut niveau auprès de l'État français, en nouant des relations de confiance avec les cabinets ministériels, les cadres dirigeants de l'administration et les responsables du numérique et de la technologie des plus grands ministères, dont la défense, les finances et la justice - Piloter l'intégralité du cycle de vente sur nos premières opportunités stratégiques dans le secteur public, du premier contact au choix de la voie de passation, jusqu'à la signature, au déploiement et à l'extension - Travailler avec les équipes Partenariats, Juridique et Finance pour mettre en place les voies d'accès au marché dont l'État a besoin : canaux de revente et de partenariat, accords-cadres et centrales d'achat telles que l'UGAP - Collaborer au quotidien avec notre responsable des affaires publiques en France, pour que les démarches commerciales et politiques se renforcent mutuellement, en cohérence avec la stratégie et la réglementation française et européenne en matière d'IA - Mener les échanges clients sur la souveraineté des données, la sécurité et la conformité (par exemple SecNumCloud et la doctrine « cloud au centre »), et travailler avec les équipes Sécurité, Juridique et Produit sur la façon dont nous répondons à ces exigences - Démontrer la valeur auprès des clients en vous appuyant sur une expertise d'architecture Applied AI mutualisée, sur les fournisseurs cloud et sur les intégrateurs, en réalisant vous-même une grande part du travail de terrain dans les premiers temps - Apprendre de nos équipes secteur public au Royaume-Uni et aux États-Unis et contribuer à leur travail, en important en France ce qui fonctionne et en partageant vos enseignements - Créer les playbooks, les références clients et le rythme opérationnel qui nous permettront de faire grandir une équipe secteur public en France Ce poste peut vous correspondre si vous réunissez - Plus de 15 ans dans la vente de technologies aux grandes organisations, dont une période significative à la tête d'une activité secteur public ou à l'encadrement d'équipes commerciales à destination de l'administration centrale française - L'envie de passer d'un poste d'encadrement à un poste senior pleinement opérationnel, en contribution individuelle et sans équipe au départ - Un parcours qui montre que vous vous épanouissez en construisant à partir de zéro : un nouveau marché, une nouvelle ligne d'activité ou une entreprise à ses débuts, là où les systèmes, les processus et les soutiens n'existaient pas encore - Des accords majeurs, complexes et réellement transformateurs conclus avec de grands ministères à votre actif, en étant la personne à la tête de la négociation - Un réseau dense et de haut niveau au sein de l'administration centrale, et la crédibilité nécessaire pour échanger au niveau des directions et des cabinets comme avec les équipes techniques - Une maîtrise concrète de la commande publique française : appels d'offres, accords-cadres, centrales d'achat et voies de partenariat ou de revente - Une véritable expertise des exigences de souveraineté des données, de sécurité et de conformité au sein de l'État français, et l'expérience de ces échanges avec les clients - L'expérience — ou une aptitude manifeste — du travail en étroite collaboration avec les équipes affaires publiques ou relations institutionnelles - Le sens de la responsabilité et la ténacité : ce qui manque est pour vous quelque chose à construire, et vous embarquez vos collègues dans cette construction - La curiosité technique nécessaire pour apprendre nos produits en profondeur et tenir des échanges crédibles aussi bien avec les responsables d'ingénierie qu'avec les responsables publics de haut niveau - Un français et un anglais courants, avec une excellente expression écrite et orale dans les deux langues - La disponibilité pour engager une procédure d'habilitation de sécurité si certains comptes l'exigent - Un engagement sincère en faveur d'une IA sûre et bénéfique, et la capacité d'expliquer pourquoi cela compte pour les institutions publiques 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: €310.000 - €380.000 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.
Litigation Counsel
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Legal team is looking for an experienced litigator to join our Litigation and Regulatory team. You'll manage a broad docket of litigation files and pre-litigation disputes with a high degree of autonomy, advise the business on litigation risk, and help build the systems and processes that let a growing litigation function operate well at scale. The matters you'll handle span intellectual property (particularly copyright), class actions, commercial disputes, and could include securities and shareholder disputes, in both first-party and third-party matters, in the U.S. and abroad. You'll partner closely with colleagues across Legal and teams throughout the company to resolve matters thoughtfully and with minimal disruption to the business. You may also support regulatory investigations and inquiries as needed. Key responsibilities - Manage a broad range of litigation matters that could include intellectual property (particularly copyright) matters, class actions, regulatory and commercial disputes, and securities cases - Direct outside counsel across all stages of litigation, from pre-suit response through discovery, dispositive briefing, trial or resolution and appeal, with a focus on strategic decision-making and filing excellent legal briefs - Manage small disputes and escalations to limit business friction and minimize risk - Advise company leadership and cross-functional partners on litigation risk, and develop appropriate strategic litigation plans, including matter-resolution proposals - Design and implement processes, policies, and tools that help the litigation and regulatory team handle matters efficiently and at scale, such as matter intake, outside counsel budgeting, contingency reporting, and pre-litigation escalation run books - Work cross-functionally to gather information efficiently and evaluate risk - Support responses to regulatory investigations and inquiries as needed - Stay up to date on relevant laws, litigation trends, and AI-related case law, and share developments with key stakeholders - Mentor and develop team members through hands-on work on active matters Minimum qualifications - Hold a JD and are an active member of at least one U.S. state bar (California preferred) - Have litigated some combination of copyright, class action, securities, and regulatory matters - Have broad experience handling complex civil litigation, with deep knowledge of litigation practice and procedure, discovery, and federal and/or CA state court rules - Have managed litigation matters with significant independence, including setting case strategy, managing discovery, writing and improving legal briefs, and directing outside counsel - Write and communicate clearly, with the ability to explain litigation risk and strategy, particularly for non-legal audiences at all levels of seniority - Exhibit poise and judgment under pressure while balancing legal risk with business priorities Preferred qualifications - At least 12 years of litigation experience with a combination of experience at a global-focused law firm and in-house - Experience representing technology companies, particularly companies working in emerging technologies - Experience building systems, processes, or tools for an in-house legal team, such as matter management, outside counsel budgeting, or litigation reporting - Experience managing regulatory responses or investigations, including both first-party and third-party responses - Creativity and openness to novel solutions when advancing business priorities while addressing legal risk - Ability to think and work quickly, have a flexible risk tolerance, and a good sense of humor - Low ego and a real willingness to roll up your sleeves to solve problems whether mundane or complex - A thoughtful and empathetic colleague who works well with legal colleagues, outside counsel, and business partners - A genuine interest in the development of AI that is both innovative and trustworthy, including the opportunities it creates and the risks and limitations that must be addressed Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. 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: $385,000 - $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Senior Product Policy Lead, Regulation
About the Team The Product Policy team develops and implements policies that shape how OpenAI’s technology is built and used. We work with teams across the company to turn complex questions about AI’s benefits and risks into practical guidance for responsible research, product development, and deployment. About the Role As Product Policy Manager, Regulation, you will map external regulatory and legislative trends and synthesize them into concrete research, product, and policy requirements. You will connect deep expertise in regulation and public policy with a sophisticated understanding of AI and strong product judgment. Your remit will span frontier AI, youth, wellbeing, use in high-stakes domains, deceptive use, and other emerging issues. Working closely with Legal and Global Affairs, you will help Product, Engineering, Research, and Safety teams understand what external developments mean for their work, what decisions or evidence are needed, and how to act. We’re looking for someone who combines deep regulatory and public-policy expertise with an in-depth understanding of AI and a demonstrated ability to advise product and engineering teams. You should be able to move from complex external developments to clear decisions and requirements that teams can implement. This role can be based in San Francisco or remote. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Map and prioritize regulatory and legislative developments across jurisdictions and AI issue areas. Distinguish enacted requirements, proposals, guidance, and emerging expectations; assess their relevance, uncertainty, timing, and implications for our models and products. - Translate external developments into actionable research questions, evaluation needs, product requirements, and policy recommendations. Identify gaps in evidence, define the intended outcome and acceptance criteria, and make tradeoffs and open questions clear. - Advise Product, Engineering, Research, and Safety teams throughout design, launch, and iteration. Partner with Legal on legal interpretation and applicability, and with Global Affairs on legislative context and external engagement, to develop feasible implementation options and clear ownership. - Maintain traceability from external signals to internal decisions, requirements, and implementation. Track material changes, surface dependencies and emerging risks, and use research, product evidence, and expert input to refine recommendations and inform external policy discussions. You might thrive in this role if you: - Bring substantial experience in AI or technology regulation, public policy, product policy, or a related field, including interpreting complex regulatory and legislative developments across jurisdictions and translating them into action. - Understand AI deeply, including model capabilities and limitations, training and deployment, evaluations, and safety mitigations. You can reason about how requirements differ at the model, product, and deployment levels and identify where further research is needed. - Have a strong record of product advising and close partnership with product managers, engineers, and researchers. You can turn ambiguous concerns into specifications, implementation options, acceptance criteria, and decisions that improve products. - Exercise sound judgment under uncertainty, prioritize across a broad portfolio, and manage work from an emerging external signal through implementation and iteration. - Communicate clearly and precisely with technical teams, legal and policy experts, and executives. You can explain regulatory complexity, distinguish evidence from assumptions, and resolve disagreement constructively. - Bring breadth across AI policy issues—including frontier risks, youth, wellbeing, high-stakes uses, and deceptive use—and the ability to build depth quickly with subject-matter experts, research, data, and user insights. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Account Director, Large Enterprise
About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made up of Sales, Solutions, Support, Marketing, and Partnership professionals who work together to bring AI to as many users as possible. About the role Our Sales team helps customers understand how highly capable AI can transform their businesses. As an Account Director, Large Enterprise, you’ll work with some of our largest accounts across a variety of industries, winning new business and expanding adoption within existing customers. This role combines technical understanding, executive engagement, and ownership of complex enterprise sales. You’ll create demand, develop opportunities, and lead deals from initial engagement through negotiation, deployment, and expansion. You’ll help executives move from curiosity about AI to a clear understanding of how it can change the way their businesses operate—and build a practical path to realizing that value. We’re looking for someone with a hunter mentality who takes initiative and creates momentum. You’re comfortable opening doors, building relationships across business units, and bringing commercial and technical stakeholders together around an enterprise transformation strategy. Success means both winning business and helping customers turn their commitments into sustained adoption and consumption. This role can be based in our San Francisco, New York City or Seattle offices. We are also considering applications to work remotely from within the U.S. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you’ll: - Own a portfolio of large enterprise accounts across industries, developing account strategies that drive new business, enterprise adoption, and expansion. - Create demand through proactive prospecting, executive outreach, and a deep understanding of each customer’s business priorities. - Own complex deals end to end, including opportunity development, qualification, business case creation, technical evaluation, negotiation, and close. - Help senior executives understand AI’s potential to transform their business, identify priorities, and build alignment around a roadmap for investment and deployment. - Build relationships across business units and functions, connecting executive sponsors, business leaders, technical teams, and procurement to advance shared goals. - Partner with solutions engineering to translate complex technical capabilities into customer programs with measurable business outcomes. - Win initial deployments and expand successful use cases across teams, business units, and geographies. - Own a consumption revenue target, partnering across the customer lifecycle to turn signed agreements into production usage and sustained growth. - Maintain rigorous account plans, opportunity management, and revenue forecasts, taking responsibility for moving opportunities forward and resolving obstacles. - Bring customer and market insights to product, engineering, and GTM teams to inform our roadmap and approach to enterprise customers. - Help build the processes, practices, and culture of a growing, high-ownership sales organization. We’re seeking someone with experience including: - 14+ years selling complex platform-as-a-service and/or software-as-a-service products to large enterprise customers. - Demonstrated success winning new customers and expanding existing accounts. - Generating pipeline and creating demand through proactive account development, including opportunities where the customer has not yet defined a project or allocated budget. - Designing and executing complex deal strategies with multiple decision-makers, technical requirements, and procurement processes. - Selling across business units and functions, building support beyond a single buyer, team, or use case. - Working directly with C-level executives to connect technology investments to business strategy, operational change, and measurable value. - Selling technically complex products in close partnership with engineering and solutions teams. - Leading enterprise transformation opportunities from early discovery through deployment, adoption, and expansion. - Managing consumption-based revenue models, including forecasting usage, driving adoption, and identifying opportunities for growth. - Succeeding in fast-growing environments that require independent judgment, initiative, and accountability. You might thrive in this role if you: - Have a hunter mentality. You seek out opportunities, open doors, and build demand. You’re motivated by winning new customers and uncovering new opportunities within established accounts. - Take ownership. You drive progress at every stage of a deal. You set clear next steps, bring the right people together, and stay accountable when decisions are difficult or the path forward is unclear. - Can guide an executive journey. You meet leaders where they are, challenge their thinking thoughtfully, and help them develop a concrete vision for how AI can transform their business. - Are customer-centric and commercially driven. You connect customer outcomes to durable growth. You pursue opportunities where our technology can deliver meaningful value and stay engaged as customers move from purchase to adoption. - Are technically curious. You enjoy understanding complex products and can explain their capabilities, limitations, and business implications to both technical and nontechnical audiences. - Think across the enterprise. You see connections between business units, build relationships across functions, and turn an initial use case into a broader strategy for adoption. - Are a builder. You thrive in a high-ownership environment, make sound decisions with incomplete information, and help establish the practices that allow a growing team to succeed. - Have a passion or deep curiosity for artificial intelligence. You’re excited to help customers deploy AI thoughtfully and realize its potential to benefit their businesses and users. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Senior Manager, IT SOX
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a Senior Manager, IT SOX to join the Internal Audit team at Anthropic. In this role, you will be a hands-on technical contributor and key executor of our IT SOX compliance program, with deep focus on our IT General Controls, IT Application Controls, and system risk assessments. This role reports to the Head of IT SOX and is well-suited for someone who is comfortable with ambiguity, thrives in a high-pace environment, and enjoys solving problems that don't yet have industry-standard answers. This is a high-impact opportunity to collaborate with first and second lines of defense to help establish a control environment suitable for an AI-first company! You will act as a trusted advisor to Engineering, GRC, Security and Finance teams on the technology controls adapted to a fast growing and rapidly changing organization. You'll bring technical depth, a bias toward automation, and the ability to partner effectively with both technical teams and external auditors as the organization experiences scaling to public-company standards. Key responsibilities - Advise on the design of a control environment fit for an AI-first company, including controls over highly automated DevOps pipelines and emerging agentic identity models - Partner with Engineering, Security, IT, and DevOps teams to assess the design and implementation of scalable and sustainable controls - Assess new system implementations and changes - Identify automation and tooling opportunities to improve control efficiency and monitoring, and contribute to the development of continuous monitoring capabilities - Assist in scoping and planning for annual SOX IT assessments - Execute IT SOX testing across IT General Controls and IT Application Controls, including access management, change management, and computer operations - Perform system and process risk assessments to identify control gaps and recommend remediation - Own control documentation and ensure audit-ready evidence is current and complete - Evaluate IT automated controls and support the shift from manual to automated control reliance - Scale the IT SOX program as the company grows — rationalizing scope, standardizing testing approaches, and building repeatable processes that keep pace with new systems and entities - Guide and direct the day-to-day work of internal team members and co-sourced partners: setting priorities, reviewing workpapers, and ensuring quality and consistency across the testing program - Build strong working relationships with process and control owners across the organization - Translate technical control requirements for non-technical stakeholders and vice versa - Support SEC cybersecurity disclosure requirements and related risk monitoring efforts - Coordinate with external auditors on IT SOX matters, including evidence requests, walkthroughs, and testing schedules - Track and assist with remediation of audit findings; communicate status to the Head of IT SOX and relevant stakeholders Minimum qualifications - Hands-on IT audit or IT SOX compliance experience, ideally in a fast-paced technology environment - Deep working knowledge of ITGCs, ITACs, and IT risk assessment methodologies - Experience auditing highly automated DevOps environments (CI/CD pipelines, infrastructure-as-code, automated deployments) and adapting traditional change-management and access controls to them - Experience designing, testing, and documenting controls across access management, change management, and computer operations - Demonstrated comfort with ambiguity and the ability to operate effectively in a high-pace, rapidly changing environment - Ability to effectively guide and direct the work of internal team members and/or co-sourced partners - Ability to work independently on complex, ambiguous workstreams while communicating proactively with senior stakeholders - Strong project management and organizational skills with close attention to detail - Clear, effective communicator — able to work across technical and non-technical audiences Preferred qualifications - 8+ years of hands-on IT audit and SOX compliance experience, including time in a Big 4 or comparable environment - Hands-on experience with cloud environments (GCP, AWS, and/or Azure) - Experience scaling a compliance program to public-company standards - Track record of scaling an audit or SOX program through periods of rapid growth - Familiarity with enterprise systems such as Workday, Salesforce, or GitHub - Experience evaluating SDLC controls in modern software development environments - CISA, CIA, CISSP, CPA, or equivalent certification - Genuine enthusiasm for working in an AI-first environment — applying AI to audit work itself and rethinking assumptions about how controls operate when AI is embedded in the processes being audited 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: $230,000 - $300,000 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.
Privacy Counsel
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Privacy Counsel to join our Legal team. You'll counsel on complex privacy issues and build the processes and programs that address privacy and data protection in a global context. This is a unique opportunity to join a dynamic and growing team, where you will have the chance to shape the company's privacy and data protection strategy and compliance program. You will work at the intersection of novel legal questions, fast-moving product development, and a high-profile regulatory environment, partnering cross-functionally with Legal, Integrity & Compliance, Safeguards, Security, Policy, Research and Product. Key responsibilities - Counsel product, research and engineering teams across the model and product lifecycles, applying laws written before frontier AI with clarity and fresh thinking - Translate complex technical architecture into clear, actionable risk advice - Deliver integrated guidance on safety, security and data protection - Lead privacy on Anthropic's most strategic deals and partnerships, opening creative paths for novel technologies - Negotiate privacy and data protection terms in enterprise, platform and partnership commercial agreements, including DPAs, BAAs, data sharing agreements and cross-border transfer terms - Lead privacy diligence on mergers and acquisitions, and support corporate governance - Collaborate closely with counsel and privacy colleagues on joint analysis, bringing competing views together into a single, well-reasoned position Minimum qualifications - JD from an accredited law school and active membership in at least one U.S. state bar - Hands-on experience advising a technology business (in-house or at a leading law firm) on privacy and data protection - Experience drafting and negotiating data protection agreements, such as DPAs, BAAs and data sharing agreements - Working knowledge of key global privacy laws, including those of the Americas, EEA and APAC - Ability to read and engage with technical documentation, such as system designs and architecture diagrams - Excellent legal writing, including clear, concise advice Preferred qualifications - At least 8 years of privacy and data protection legal experience - Deep familiarity with software and model development and architecture - Proven ability to build privacy processes, playbooks and templates that scale with a fast-growing business - Direct engagement with privacy regulators, including providing briefings and responding to inquiries - Privacy and data protection work on mergers, acquisitions, and similar transactions - Background advising safety, security or trust and safety teams, including on privacy incidents and notification decisions Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. 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: $265,000 - $335,000 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.
IP Counsel, Transactions
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an experienced and strategic transactional attorney to join the IP team within our growing legal department. In this role, you will be responsible for the IP side of Anthropic's transactions, partnering with the M&A and commercial counsel who lead each deal. You will conduct IP diligence and negotiate IP terms for our acquisitions and investments, help advise on IP terms in our most complex commercial and research agreements, and drive the playbooks and processes that make our processes scalable. You will partner closely with the Head of IP (direct manager), our M&A and Commercial Legal teams, and Corporate Development on questions and issues that are very often new. Responsibilities - Lead the IP workstream on acquisitions and strategic investments, from diligence through letters of intent, definitive agreements, closing, and integration, alongside our M&A counsel and outside counsel - Partner with commercial counsel on the IP aspects of complex enterprise, partnership, research collaboration, and vendor agreements, advising on and negotiating IP terms - Serve as the primary point of contact on IP terms for commercial legal and other colleagues, and help train them so they can resolve more IP questions on their own - Drive the playbooks, templates, and processes that let a lean team handle IP terms across a high volume of deals - Contribute to broader IP strategy, particularly where transactions intersect with open source, trade secrets, patents, or new business models Minimum qualifications - Hold a JD and are an active member of at least one U.S. state bar - Have substantial experience leading IP due diligence and negotiating IP terms in technology M&A - Have first-chair experience negotiating IP provisions in complex commercial technology agreements, such as licenses, joint development agreements, and services agreements - Have the ability to communicate IP risks and tradeoffs clearly to business leaders and non-specialist lawyers, and to exercise sound judgment about when to hold a position - Have strong working knowledge of open source licensing, employee and contractor IP assignment obligations, and trade secret protection Preferred qualifications - 10+ years of transactional IP experience at a nationally recognized law firm, a technology company, or both - Experience building negotiation playbooks, templates, or diligence processes that other lawyers relied on - Experience with AI, machine learning, data licensing, or other emerging technology - Curiosity about AI and a commitment to its responsible development 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: $335,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Corporate Finance & Strategy, Strategic Transactio...
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 Our Corporate Finance & Strategy team serves as a strategic partner to Anthropic's leadership, driving data-informed decisions that shape our company's future. We are seeking a professional to support Anthropic's M&A and strategic transaction activity. In this role, you will lead the financial due diligence of acquisition targets and own the Finance & Strategy view of each deal: forecasting the target's business, testing the assumptions behind the deal, and translating its impact into Anthropic's forecast and plan. You'll partner with a broad group of cross-functional stakeholders throughout the deal process, including Corporate Development, Accounting, R&D, People, and more. The role suits someone who has seen transactions from more than one vantage point, whether as an investor, a banker, or an operator. You'll give leadership a clear view of what each deal means for Anthropic's financials, and build the models, frameworks, and playbooks that keep this work consistent from one transaction to the next, leveraging Claude as a core part of your toolkit. Key responsibilities - Lead Finance & Strategy's financial due diligence on M&A and other strategic transactions: assess the target's historical performance and forecast, pressure-test the assumptions behind the deal, and surface the risks that matter for the decision - Build the deal model and pro forma forecast for each transaction, and evaluate deal economics and structuring options - Partner with Corporate Development on the deal case, Accounting on diligence findings and post-close integration, and the sponsoring business team on operating assumptions, carrying what you learn into the model - Translate each deal's impact into Anthropic's forecast and plan, and present your analysis and recommendations to Finance leadership - Build the templates, playbooks, and processes that make deal work repeatable, and use Claude to raise the rigor and pace of that work over time Minimum qualifications - 7+ years of experience in M&A-related roles across investment banking, private equity, growth equity, venture capital, corporate development, or strategic finance - Hands-on experience building acquisition models and pro forma forecasts from scratch, with mastery of how a transaction flows through the three financial statements - Strong collaborator who builds trust quickly across large, cross-functional deal teams - Clear, proactive communication, including experience presenting to Finance leadership - Thrives in fast-paced, dynamic environments and navigates ambiguity with confidence - Track record of building new processes, templates, and playbooks - Passion for Anthropic's mission of building safe, beneficial AI Preferred qualifications - MBA, CFA, or CPA - Experience on both the investing / advisory and operating sides of transactions - M&A experience at a public company, with an understanding of downstream reporting impacts - Experience using Claude or similar AI tools to raise both the quality and the efficiency of your work The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 - $240,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Product Manager, Safeguards (Generalist)
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is dedicated to developing AI assistants that are helpful, harmless, and honest. As usage of our AI services grows, we need to ensure they are not misused. The Safeguards team is at the forefront of protecting our users from the risks of powerful AIs as well as ethical, technical, and social risks from the use of generative AI. The Safeguards team at Anthropic builds protections for new AI features enabled by the research teams and protects new products and surfaces developed by our product teams. As a Product Manager for the Safeguards team at Anthropic, you will own the ideation, design, development and deployment of Safeguards systems and relevant product UX to ensure we are advancing frontier models safely to users across various cloud platforms. You will work closely with our research and product teams to develop detections, evals, interventions, and tools to measure and mitigate deployment and user risks. We are looking for a product manager who is deeply committed to making AI safe and beneficial for humanity. You are aware of the risks and are committed to working with experts and coming up with ideas for Anthropic to implement. You have deep technical expertise in development, deployment and measurement of Safeguards systems. You thrive in rapidly moving and ambiguous environments. Responsibilities - Determine how to build in safety by design upstream and leverage downstream defenses for Anthropic’s frontier models, AI products, customers on different surfaces - Claude.ai, 1P API, external Cloud providers. - Ability to write safety evals and communicate externally about safety. - Drive impact via ruthless prioritization by clearly defining problems, solution options forward, clarity on both business & technical tradeoffs and accordingly clear requirements toward MVP vs. ideal state. - Align & collaborate with policy, enforcement, research, engineering and cross functional stakeholders. - Understand the AI landscape and ecosystem to plan for mitigation of deployment risks of increasingly powerful models and determined adversaries. - Lead the development of metrics to understand the area, performance, blindspots to help inform future project planning. Minimum Qualifications You may be a good fit if you have: - Ability to make technical tradeoff decisions; ideally with experience working across policy experts, AI/ML research engineers and software engineering teams to design and build state of the art safety systems. - Strong user understanding of how our products are used, their Safeguards concerns and how we provide the best solutions. - Demonstrated ability to build product and engineering strategy across multiple cross-functional teams for a rapidly changing space. - Demonstrated experience in designing and building metrics to evaluate risks, system performance, user impact and making crisp tradeoffs - Very strong ability to navigate, and prioritize amidst rapidly changing product specs, and to flex into different domains to bring clarity and execute. - Evidence of exercising judgment and decision making in ambiguous situations. - Planning, building, launching and measuring new products / systems in a zero to one environment. - Ability to clearly articulate complex technical concepts to non-technical audiences in written and verbal communication. - Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks. Preferred Qualifications - 5+ years in product management with a focus on fast problem understanding, building roadmaps with tractable progress, ability to get into the details on data, detection & interventions, infrastructure & tools, and/or evals. 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: $385,000 - $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Product Manager, Safeguards (Account Integrity & A...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is dedicated to developing AI assistants that are helpful, harmless, and honest. As usage of our AI services grows, we need to ensure they are not misused. The Safeguards team is at the forefront of protecting our users from the risks of powerful AIs as well as ethical, technical, and social risks from the use of generative AI. The Safeguards team at Anthropic builds protections for new AI features enabled by the research teams and protects new products and surfaces developed by our product teams. As a Product Manager for the Safeguards team at Anthropic, you will own the ideation, design, development and deployment of Safeguards systems and relevant product UX to ensure we are advancing frontier models safely to users across various cloud platforms. You will work closely with our research and product teams to develop detections, evals, interventions, and tools to measure and mitigate deployment and user risks. We are looking for a product manager who is deeply committed to making AI safe and beneficial for humanity. You are aware of the risks and are committed to working with experts and coming up with ideas for Anthropic to implement. You have deep technical expertise in development, deployment and measurement of Safeguards systems. You thrive in rapidly moving and ambiguous environments. Responsibilities - Determine how to build in safety by design upstream and leverage downstream defenses for Anthropic’s frontier models, AI products, customers on different surfaces - Claude.ai, 1P API, external Cloud providers. - Ability to write safety evals and communicate externally about safety. - Drive impact via ruthless prioritization by clearly defining problems, solution options forward, clarity on both business & technical tradeoffs and accordingly clear requirements toward MVP vs. ideal state. - Align & collaborate with policy, enforcement, research, engineering and cross functional stakeholders. - Understand the AI landscape and ecosystem to plan for mitigation of deployment risks of increasingly powerful models and determined adversaries. - Lead the development of metrics to understand the area, performance, blindspots to help inform future project planning. Minimum Qualifications You may be a good fit if you have: - Ability to make technical tradeoff decisions; ideally with experience working across policy experts, AI/ML research engineers and software engineering teams to design and build state of the art safety systems. - Strong user understanding of how our products are used, their Safeguards concerns and how we provide the best solutions. - Demonstrated ability to build product and engineering strategy across multiple cross-functional teams for a rapidly changing space. - Demonstrated experience in designing and building metrics to evaluate risks, system performance, user impact and making crisp tradeoffs - Very strong ability to navigate, and prioritize amidst rapidly changing product specs, and to flex into different domains to bring clarity and execute. - Evidence of exercising judgment and decision making in ambiguous situations. - Planning, building, launching and measuring new products / systems in a zero to one environment. - Ability to clearly articulate complex technical concepts to non-technical audiences in written and verbal communication. - Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks. Preferred Qualifications - 5+ years in product management with a focus on fast problem understanding, building roadmaps with tractable progress, ability to get into the details on data, detection & interventions, infrastructure & tools, and/or evals. 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: $385,000 - $460,000 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.
Operating Systems Engineer, On-Device Inference |...
ABOUT THE TEAM OpenAI Consumer Devices is building the next generation of products that bring powerful AI into people’s everyday lives. Guided by OpenAI’s mission to ensure AGI benefits all of humanity, our team combines world-class researchers, engineers, designers, and operators who care deeply about creating useful, intuitive, and responsible technology. You’ll have the opportunity to work alongside exceptional people on ambitious, zero-to-one challenges at the intersection of hardware, software, and AI. This is a chance to help define an entirely new category of products—and shape how people experience AI in the future. Our team works across silicon, embedded systems, operating systems, and cloud services to build reliable consumer devices and the novel platforms required to support them. We partner closely with research to bring advanced AI capabilities into the physical world. ABOUT THE ROLE As an Operating Systems Engineer focused on on-device inference, you will design, develop, and ship the OS stack that makes advanced AI capabilities reliable, responsive, and energy efficient on consumer devices. Your work will span OS services and frameworks, inference runtime integration, model fitting, scheduling, and performance and power management. You’ll partner with research to adapt models to device constraints, make design decisions across the stack, and carry solutions from early exploration through integration and production. IN THIS ROLE, YOU WILL: - Build the inference platform: Design and implement maintainable OS services, frameworks, and clear interfaces for inference execution, model loading and lifecycle, and resource management. - Fit models to device constraints: Partner with researchers on quantization, runtime integration, and memory optimization to meet memory, compute, and energy budgets while evaluating model quality and product behavior. - Coordinate system resources: Develop scheduling and resource policies that balance inference with other device activity, preserving responsiveness within latency, memory, battery, and thermal constraints. - Advance performance and power management: Develop and validate execution strategies that adapt to workload needs, available resources, and changing device conditions. - Debug across the stack: Use tracing, profiling, and structured debugging to investigate correctness, concurrency, performance, and reliability issues across models, inference runtimes, and OS components. - Measure and validate improvements: Build diagnostic tools, instrumentation, representative device workloads, and automated tests to demonstrate repeatable performance and energy gains on physical devices, catch regressions, and validate sustained use. - Bring capabilities to production: Collaborate with research, hardware, firmware, platform, and product engineering teams to turn emerging model capabilities into maintainable systems and reliable shipped features. MINIMUM QUALIFICATIONS - Substantial hands-on experience designing, developing, and debugging operating system components, system services, or performance-critical platform software. - Proficiency in C++ for systems development, including concurrent programming, memory ownership, and resource lifetime management. - Hands-on experience integrating or optimizing inference runtimes or machine learning workloads in resource-constrained environments. - Strong understanding of scheduling, memory management, and how workloads compete for shared system resources. - Experience diagnosing complex system behavior and delivering performance or power improvements supported by repeatable measurements. - Ability to work across disciplines, translate research and product needs into system requirements, and explain technical decisions and tradeoffs clearly. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have delivered end-to-end on-device inference in shipped products, from model adaptation and runtime integration through OS support and production debugging. - Have adapted models for deployment through quantization, compression, or related techniques, balancing quality, execution cost, and memory requirements. - Have optimized inference across CPUs, GPUs, or neural accelerators, accounting for data movement, synchronization, and execution placement. - Are proficient in Rust for systems programming. - Take ownership of complete solutions and follow problems across model, runtime, and operating system boundaries. - Challenge assumptions, develop new approaches when existing techniques fall short, and use experiments and measurements to guide decisions. - Work constructively across disciplines and make careful tradeoffs among model quality, performance, power, reliability, security, and maintainability. 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.
Manager, Applied AI Architects
About the Team The Applied AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. About the Role As the Manager of Applied AI Architects in Munich, you will lead a team of senior technical leaders responsible for the technical strategy, customer journey, and path to production value for OpenAI's largest and most complex customers across the DACH region. Your team will act as the “CTO of the book of business,” partnering with customer executives and technical teams from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will set the operating model for how Applied AI Architects own technical account plans across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In close partnership with Sales leadership and Account Directors, you will help prioritize customer portfolios, allocate technical resources, and ensure business priorities translate into focused use cases, credible architectures, actionable adoption roadmaps, and durable customer value and growth. You will remain accountable for the team's technical outcomes while developing its people and bringing in the right specialists across deployment, implementation, enablement, security, product, research, and partners. You will serve as an executive technical sponsor for critical engagements, a senior voice of the customer inside OpenAI, and a cross-functional leader who can move confidently between regional strategy, executive decision-making, architectural depth, and hands-on coaching. This role is based in London. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Hire, coach, and develop a high-performing team of Applied AI Architects, creating an environment of technical excellence, sound judgment, continuous learning, accountability, and strong customer stewardship. - Define and continuously refine the strategy and operating model for Applied AI Architecture across Europe, aligning company priorities with the evolving needs of strategic customers and the regional go-to-market. - Partner with Sales leadership and Account Directors to prioritize accounts and opportunities, allocate technical resources effectively, and establish clear technical strategies for the region's most consequential engagements. - Ensure Applied AI Architects serve as the primary technical advisors for their portfolios, owning technical account plans, technical milestones, adoption priorities, account health, and expansion opportunities. - Lead complex, multi-threaded customer journeys that connect executive vision and business outcomes with use-case qualification, solution evaluation, enterprise governance, and a credible path to production. - Coach the team on Applied AI architectures spanning models, applications, data, integration, identity, security, privacy, governance, evaluation, reliability, and deployment. - Build trusted relationships with C-suite and board-level stakeholders, as well as senior AI, technology, data, security, and engineering leaders, serving as an executive technical sponsor when needed. - Mobilize Deployment Engineering, implementation, enablement, Product, Engineering, Research, Security, Legal, Privacy, partners, and other specialists to remove blockers and deliver a cohesive customer experience. - Establish a rigorous view of portfolio health, including technical wins, qualified use cases, production readiness, adoption, usage, risks, measurable customer impact, and the technical contribution to growth. - Translate patterns from the field into actionable feedback for Product, Engineering, Research, and go-to-market teams, while developing reusable architecture guidance and customer practices. - Foster a culture that balances ambitious customer outcomes with responsible AI deployment, clear ownership, thoughtful prioritization, and effective specialist handoffs. You might thrive in this role if you: - Possess deep technical acumen in modern AI systems, frontier models, agentic applications, platform technologies, software and cloud architecture, APIs, data integration, identity, security, privacy, evaluation, and enterprise deployment. - Bring 10+ years of experience in customer-facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical consulting, including work with large and complex enterprises. - Have 4+ years of people-management experience hiring, coaching, and developing high-performing customer-facing technical teams. - Have guided enterprise organizations from technical discovery and evaluation through production adoption, healthy usage, and measurable business impact. - Demonstrate outstanding executive communication and presentation skills, with the ability to build credibility with CTOs, CIOs, CISOs, boards, business leaders, and hands-on engineers. - Can lead a complex portfolio, make thoughtful resource-allocation decisions, and balance regional strategy with hands-on support for critical customer engagements. - Exercise strong architectural judgment, including knowing when to go deep personally, when to coach the team, when to involve specialists, and how to define clear handoffs and ownership. - Build strong partnerships across Sales, Product, Engineering, Research, Deployment, Customer Engagement, Security, Legal, Privacy, and external partner ecosystems. - Are comfortable leading across DACH and partnering across European markets from Munich, adapting your approach to different industries, cultures, regulatory contexts, and customer operating models. - Embody a customer-centric philosophy focused on durable value, responsible production adoption, technical excellence, and long-term partnership. - Approach your work with humility, curiosity, a collaborative spirit, and a deep commitment to the safe and beneficial advancement of AI. 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.
Manager, Applied AI Architect
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 in Korea 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 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 in Korea throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams and stakeholders, including global teams across time zones, 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. You will need to be able to span the gamut from technical deep dives for engineering and development teams up to business value focused conversations with executives - Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack - Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases, including Korean language 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: - 5+ years of experience in people management for the technical sales roles. - 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, including C-suite executives, engineering and 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 - 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 - 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 - Fluency in Korean and English 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.
Machine Learning Engineer, Monetization AI/ML
ABOUT THE TEAM The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products—including next-generation ads experiences—that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation. Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers and businesses. This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale. ABOUT THE ROLE As a Research Engineer in OpenAI's Monetization Group, you will have the opportunity to work with some of the brightest minds in AI. You'll contribute to deploying state-of-the-art models in production environments, helping turn research breakthroughs into tangible solutions. If you're excited about making AI technology accessible and impactful, this role is your chance to make a significant mark. In this role, you will: - Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact. - Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives. - Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches. - Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices. - Make a Difference: Monitor and maintain deployed models to ensure they continue delivering value. Your work will directly influence how AI benefits individuals, businesses, and society at large. You might thrive in this role if you: - Master's/ PhD degree in Computer Science, Machine Learning, Data Science, or a related field. - Demonstrated experience in deep learning and transformers models - Proficiency in frameworks like PyTorch or Tensorflow - Strong foundation in data structures, algorithms, and software engineering principles. - Experience with search relevance, ads ranking or LLMs is a plus. - Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization - Excellent problem-solving and analytical skills, with a proactive approach to challenges. - Ability to work collaboratively with cross-functional teams. - Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines - Enjoy owning the problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done 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.
Revenue Enablement Program Manager - EMEA
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About The Role Help bring Cohere's enablement strategy to life for our field teams in EMEA. This generalist role will build and manage programs end-to-end, from design through rollout, measurement, and iteration, while working directly with managers and reps to ensure enablement drives results. You'll report to the Head of Sales Enablement and help establish operational rigor as this global function scales. Key Responsibilities - Own enablement programs from design through rollout, measurement, and iteration - Partner with Product, Marketing, Sales Leadership, and RevOps to align GTM priorities and embed enablement into every stage of the sales lifecycle - Create and curate high-impact resources (playbooks, battle cards, demo scripts, certification programs) for Cohere's solutions - Establish KPIs (win rates, sales cycle efficiency) and use analytics to refine initiatives and prove ROI - Operationalize MEDDPICC methodology into everyday seller behavior (deal reviews, coaching, planning) - Build certification paths that accelerate new seller productivity across regions and cultures - Maintain and evolve the enablement content platform to ensure global adoption - Identify automation opportunities for repeatable work, and develop practical AI workflows that improve team output - Work directly with field leadership on joint calls, deal coaching, and in-market visits - Translate field insights into updated content, playbooks, and qualification guides - Keep sellers current on product lineup, competitive positioning, and use-case narratives - Balance live training, program management, and strategic planning across time zones - Measure program impact (ramp time, win rates, pipeline generation, deal velocity) and report to leadership QUALIFICATIONS - 5+ years in sales enablement, sales training, revenue operations, or related GTM role (B2B SaaS/tech preferred) - Experience supporting multi-region sales organizations with cultural/time zone awareness - Proven ability to design and ship programs from scratch - AI-fluent with track record of scaling enablement using AI tools - Field-oriented approach—you thrive on direct deal reviews and coaching - Mastery of enterprise sales methodologies (e.g., MEDDPICC, Command of the Message) and CRM systems (e.g., Salesforce). - Clear communication across all levels (reps to leadership) - Comfort with ambiguity and building in fast-paced environments - Bachelor's degree or equivalent experience NICE TO HAVE - Technical fluency in AI/ML concepts (RAG, model selection, competitive differentiation) - Enterprise software sales experience - Sales enablement/instructional design certification - Hyper-growth enablement scaling experience - Additional regional languages FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Head of APAC GTM Enablement
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's APAC go-to-market organisation is the fastest-growing part of our international business, spanning markets with distinct languages, cultures and buying styles. Today, enablement for the region is delivered by our global and EMEA teams. You will be the first enablement leader on the ground in APAC. You will change that. As the first enablement leader based in APAC, you will own how the field across the region gets ready: onboarding, ongoing skill development, manager coaching support and launch readiness, for every GTM function, not just sales. You are the multiplier. You turn a rapidly scaling region into a field that is ready for the customer conversations in front of it, in the languages those conversations happen in. This is a build role with a global spine. You inherit a working global and international enablement engine. Your job is to design for APAC as part of that engine, adapted and translated where it matters, delivered across APAC, feeding what you learn back into the international and global programme. Design, influence and translate, in both directions. How we work: adults learn by doing, we build sessions around live activity: practice, reflection, real customer scenarios. The measure is not what was covered in the room. It is what changes a week later in how people think, decide and sell. This takes creativity and a deep understanding of how adults learn, applied at unprecedented speed. The frontier moves quickly and the field is scaling fast. Much of the work is unlearning: helping experienced sellers let go of pre-AI habits, not just teaching new ones. AI is what makes this scalable. Infinite practice partners, personalised scenarios from real deals, feedback minutes after a call. You will use it that way, not to generate more content. Key responsibilities - Stand up the APAC enablement rhythm: in-region onboarding cohorts, live practice-based sessions in APAC time zones, and a regional feedback loop into the global programme - Adapt the international portfolio for APAC, where enablement for several markets must be written and translated ahead of delivery rather than spoken and hoped for - Partner with regional GTM leaders to build a coaching standard that scales as the manager layer grows - Own launch readiness for the region. When a new model or product ships, the APAC field is certified and conversation-ready in the same week cycle as everyone else - Run practice-first sessions in the room: deal walkthroughs, role-plays, customer-conversation rehearsal. Practice and application over presentation Minimum qualifications - Have 15+ years in GTM enablement, sales productivity or field roles, with several years leading enablement - Have built and led GTM enablement in APAC, with direct experience in more than one of the region's markets - Have influenced and shipped beyond your own region, from a global seat or a regional one: a programme adopted elsewhere, or a senior stakeholder outside your reporting line whose decision you changed - Personally design practice-first enablement and measure it by what the field does differently afterwards, not content shipped or attendance - Understand how adults learn and apply it at unprecedented speed. Much of the job is helping experienced sellers unlearn pre-AI habits, not just teaching new ones - Are creative with the craft. You use AI to give every seller personalised practice, real-deal scenarios and fast feedback, not to produce more content - Have owned a function with end-to-end accountability rather than orchestrated one - Have enabled a field across languages and cultures. You know what breaks when content built for English-first markets ships as-is - Operate as the region's first enablement leader: prioritising ruthlessly, borrowing leverage from global programmes, knowing when to adapt versus adopt - Work fluently with sales leaders as a peer: pipeline reviews, deal inspection and forecast conversations, not just training rooms Strong candidates may also - Have held both a global and an APAC enablement role - Have run enablement delivered across APAC markets - Have built a regional enablement function from zero - Have carried a quota or led sellers earlier in their career - Have enablement experience in AI, developer platforms or technical products sold to both executives and builders - Have built manager or coaching programmes, not just individual-contributor enablement 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.
Customer Success
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's India-based Customer Success team as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across India helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code. You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. In partnership with the broader account team you, will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves. Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our product development and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business. As a founding CSM in India, you'll be a pioneer - helping to build regional processes, establishing new customer relationships, and representing Anthropic's brand in a high-growth market. You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones. Responsibilities: - Build trusting, strategic relationships with key Indian customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion - Become an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions - Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption/ adoption and how it creates realized value for the customer - Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both our consumption-based and seat-based products to drive full value from contracted commitments - Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs as the voice of Indian customers - Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment - Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows - Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement - Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic - Build Anthropic's brand and customer relationships as one of the founding members of the India CS team, developing where needed, India-specific processes, playbooks, and best practices that account for regional business cultures You may be a good fit if you have: - 12+ years of experience in customer-facing roles (Customer Success, Consulting, Success Engineer or similar) - Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each - Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns - Experience explaining and demonstrating technical products to various audiences - Strategic mindset to identify growth opportunities and translate them into actionable expansion plans - Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs - Strong project management skills and ability to manage multiple customer relationships - Passion for AI and interest in responsible development of advanced systems - Experience working in and building a growing region, while navigating across time zones with US-based headquarters - A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Applied AI Architect
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 India, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises across India and the Asia-Pacific region 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 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 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. 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 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 within India and the APAC region to customer sites for workshops, technical deep dives, and relationship building - Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns - Collaborate across time zones with global teams while serving as the technical expert for the India market 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 in India or the APAC region, 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 - Ability to work effectively across cultures and time zones as part of a global team 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.
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