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Global Workplace Lead
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 Ramp , 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 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 , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We're looking for a hands-on Global Workplace Lead to own workplace experience across all Modal offices. You'll manage our Workplace Experience team and set the tone for the day-to-day operations, programs, and physical environments that make each location thrive. You care as much about how a space feels as how it functions, and bring the same taste and judgment to our offices that we bring to our product. You'll develop a deep understanding of what each office actually needs, and build trusted relationships with local leads and cross-functional partners across the organization. What You’ll Do: - Manage and develop a team of workplace services professionals: setting direction, coaching performance, and building a high-functioning team. - Own operational quality across every office by tracking service levels and space utilization, spotting patterns, and fixing the underlying causes of recurring problems. - Stay ahead of what the business needs next by keeping a pulse on both local realities and company-wide priorities. - Build the global budget and vendor strategy for workplace experience, and hold contractors and service providers accountable to clear performance expectations. - Guide workplace experience through major transitions, including new office openings and relocations. - Shape how Modal's brand and culture show up physically — bringing the same clarity, craft, and attention to detail to our spaces that we bring to our product. - Synthesize data, stakeholder input, and business context into recommendations for continuous improvement. Requirements: - 5+ years in workplace, facilities, or office operations, ideally at a high-growth tech company where you built programs rather than inherited them. - 2+ years of people management, including leading team members through office moves or openings. - Experience overseeing workplace operations across multiple offices, ideally in more than one country. - Strong taste and judgment — an instinct for what looks and feels like Modal. - A clear willingness to take a hands-on approach and dive into the details. - Demonstrated ability to influence cross-functional partners and translate company strategy into effective local execution. - The ability to thrive in a fast-paced workplace with rapidly changing priorities. - Excited to be in an in-office role, collaborating with team members IRL. - Willing and able to travel to Modal offices globally.
Analytics Engineer
About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the role: We’re looking for an Analytics Engineer to join the team. We build products used by elite companies and over a million developers, and data plays a critical role in sharping our strategies and decision making. In this role you will help lay the foundation for business teams to diagnose issues, uncover opportunities, and drive success using data. If you enjoy building data infrastructure and empowering teams with actionable insights, this role is for you. What you will do: - Work with and expand on our foundational data stack — Looker, dbt, BigQuery, Airbyte - Write LookML and dbt models that describe our business, powering a self-serve analytics experience - Connect data from different sources (Salesforce, Stripe, Metronome, Clickhouse, etc) into our BigQuery warehouse - Build dashboards that track progress against company goals and KPIs - Analyze product usage and operational data to surface insights around customer health, adoption, and revenue - Develop a deep understanding of our business metrics to drive alignment, prioritization, and decision-making What you'll bring: - Have 3+ years experience in analytics engineering - Have technical proficiency in BigQuery (or similar), dbt, Looker/ LookML, Airbyte (or similar), Segment - Detail oriented, enjoys data spelunking, and can synthesize findings effectively - Bring curiosity and a strong business sense to help anticipate needs and generate meaningful insights - Start-up DNA with the ability fast-paced and unstructured environments - You are self-directed - you don’t wait for process or oversight to start making an impact Compensation & Benefits: We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations. Annual salary range: $140,000-$175,000 Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Benefits Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Senior Software Engineer, Orchestration Platform
Scale is building reliable AI systems for the world’s most important decisions. Our products help leading enterprises, governments, and frontier AI labs build, deploy, and evaluate AI systems at scale. The Orchestration Platform is a core technology used across the company to run durable, reliable, and scalable workflows. It powers the complex, long-running processes behind Scale’s products - from data and model-evaluation pipelines to operational systems and customer-facing workflows. As a Senior Software Engineer, you will help build and evolve this foundational orchestration platform. You will design the primitives, services, and developer experience that enable teams across Scale to author, operate, observe, and safely scale distributed workflows. This is a high-leverage role for an engineer excited by distributed systems, reliability, and platform infrastructure used by many internal teams. You will: - Lead the architecture, design, implementation, and operation of Scale’s core orchestration platform. - Build durable workflow infrastructure using technologies such as Temporal, Cadence, Kubernetes, and cloud-native systems. - Define platform primitives and APIs for scheduling, retries, state management, task execution, observability, and workflow lifecycle management. - Partner with product, infrastructure, data, and application teams to understand workflow needs and turn them into reusable platform capabilities. - Improve the reliability, scalability, security, and developer experience of services that run critical company workflows. - Establish technical standards and best practices for distributed workflow development, deployment, testing, and incident response. - Drive cross-functional technical decisions and communicate platform direction clearly to engineers and stakeholders. Ideally, you have: - 5+ years of full-time software engineering experience, with a focus on backend, infrastructure, and distributed systems. - Experience building and operating production systems with strong requirements for reliability, availability, and scale. - Deep familiarity with workflow orchestration platforms such as Temporal, Cadence, AWS Step Functions, Kubernetes, or similar systems. - Deep familiarity with Kubernetes and containerized production environments, and familiarity with Terraform, Docker. - Strong knowledge of distributed-systems concepts, including asynchronous execution, retries, idempotency, fault tolerance, state management, and observability. - A track record of leading technically complex projects from design through rollout and ongoing operation. - Excellent communication skills and the ability to collaborate effectively with platform consumers and non-technical stakeholders. Nices to haves: - Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt). - Experience with authentication/authorization systems (Zanzibar, Authz, etc.) - Experience scaling products at hyper-growth startups. - Excitement to work with AI technologies. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $216,000 - $270,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Revenue Operations Manager
About the role As Revenue Operations Manager for Enterprise GTM, you will own the measurement layer of our go-to-market engine. You will be the key to what is in the pipeline, what is converting, what is slipping, and, most importantly, why, and the . Your primary customers are our enterprise new logo and expansion teams across healthcare and life sciences, financial and professional services, TMT and energy, and public sector. We treat go-to-market as an engineered system. Architecture and design sit with the Director you report to. Instrumentation, measurement, and diagnosis sit with you. This is an individual contributor role with a wide mandate and real exposure. You will not manage a team. You will own numbers that go to the VP of Enterprise GTM, the executive staff, and the board. What you'll do Own the enterprise reporting layer - Build and maintain dashboards that give real-time visibility into pipeline health, stage conversion, sales velocity, coverage ratios, and attainment against plan, cut by vertical, segment, and rep. - Establish a single agreed definition for every core metric (pipeline created, qualified pipeline, coverage multiple, win rate, cycle time, ACV, committed vs. consumed) and defend it. One number, one source, one definition. - Report bookings, recognized revenue, and consumption as the distinct measures they are, and make the bridge between them legible to people who do not live in the model. - Run the operating cadence: weekly pipeline reviews, forecast calls in Salesforce and Clari, MBRs, QBRs, and the enterprise section of board reporting. - Build stakeholder-specific, self-serve views so vertical leaders, sales development, and partnerships can answer their own routine questions without opening a ticket with you. Turn the data into insight - Answer the hard "why" questions, e.g., why Stage 3 conversion dropped in financial services, which sourcing motions produce the highest-ACV enterprise deals, where multi-year agreements stall in legal review. - Build leading indicators and early-warning triggers so leadership sees a coverage or velocity problem 60 days out rather than in the last week of the quarter. - Pressure-test the forecast. Deliver an independent bottoms-up call and be willing to disagree with the field's number in front of senior leaders. - Diagnose where to reallocate capacity, headcount, and pipeline generation effort across verticals, and bring the recommendation, not just the chart. - Produce the analysis behind strategic bets: segmentation changes, territory restructuring, pricing and packaging shifts, new vertical entry. Instrument the funnel and the systems that feed it - Own top-of-funnel reporting for Sales Development: lead conversion loops, sourced vs. influenced pipeline, meeting-to-opportunity rates, and adherence to the Sales Development Playbook. - Champion CRM data integrity. Set and enforce completeness standards for qualification fields, next steps, close dates, and competitive tags. No insight survives a dirty pipeline. - Work hands-on in the GTM stack: Salesforce, Clari, Outreach, ZoomInfo, LinkedIn Sales Navigator, and Clay. - Partner with GTM Engineering to automate reporting and enrichment, and use AI aggressively to compress your own analysis cycle, e.g., signal-based enrichment, automated variance commentary, first-draft narratives for business reviews. Support planning and compensation - Support the Director of Enterprise GTM Architecture through annual and quarterly planning: capacity modeling, territory design, headcount planning, and quota setting. - Partner with Finance and Legal on the design and modeling of Enterprise and Sales Development commission plans, and own the reporting that tracks whether those plans are driving the intended behavior. Who you are - 8+ years in revenue operations, sales operations, GTM strategy, or a highly quantitative business operations role at a high-growth B2B SaaS, PaaS, or AI infrastructure company. Time in management consulting, investment banking, or PE counts toward this when paired with in-house operating experience. - Analytically hands-on. Deep Salesforce reporting fluency, strong command of at least one BI layer (Looker, Hex, Tableau, Sigma), and comfort writing SQL against a warehouse (Snowflake, BigQuery, Databricks). You build the analysis yourself. - Enterprise sales fluency. You know pipeline coverage math cold, you have worked inside a stage-gate qualification framework such as MEDDIC, and you understand what actually moves a seven-figure, multi-threaded, multi-year deal. - A track record of reporting people use. You have built dashboards that changed decisions, not dashboards that nobody opens. You can tell the difference and you optimize for the former. - Structured under ambiguity. You can take a vague, badly-posed question, structure it from scratch, find the root cause, and build a system that keeps it from recurring. - Commercially and technically curious. You will need to speak credibly about our AI products, our differentiators, and the objections enterprise buyers raise around deployment, security, and data. - Persuasive with executives. You can challenge the field's forecast with data in a room of senior leaders and keep the relationship intact. - Genuinely interested in using AI to do this job better, not just to report on selling it. Nice to have - Experience in a business with a mixed revenue model (services, platform, consumption) where bookings, revenue, and recognized revenue diverge meaningfully. - Experience supporting regulated verticals (healthcare and life sciences, financial services) or public sector, where procurement cycles and compliance gates distort the funnel. - Experience standing up reporting for a sales development organization from scratch. What success looks like By 90 days. Core metric definitions are agreed and documented. Weekly enterprise pipeline review runs off a single dashboard you own. You have found and named at least one thing about the funnel that leadership did not know. By 6 months. Leadership has leading indicators for coverage and velocity by vertical. Your forecast call is one leadership actively wants to hear. Data completeness standards are enforced and measurably improving. By 12 months. Enterprise reporting is largely self-serve. Your time has shifted from producing reports to answering the strategic questions that shape next year's plan. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $207,200 - $259,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Support Representative, London
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 in London and APAC. We're building a creative platform used by artists, filmmakers, and teams at some of the world's most recognized brands. Our support org handles everything from a five-minute billing question to a technical escalation, and we're building out a dedicated tier for the first kind so our more experienced specialists can focus on the second. We're looking for a Support Representative who's accurate, fast, and comfortable following a process closely under volume. No creative or AI background required. We'll train you on the product. What you’ll do - Resolve high-volume, tickets across account access, billing, and plan questions for Free, Standard, and Pro and Max users - Use existing macros, playbooks, and AI support layer suggestions to close tickets accurately and quickly - Recognize when a ticket needs product judgment or creative-tool troubleshooting, and route it to Tier 2 Support or Enterprise - Flag recurring questions that don't have a macro yet What you’ll need - Clear, accurate written communication, especially on process-driven, checklist-style work - Comfortable with repetitive, high-volume work without losing accuracy - Prior experience with tools like Zendesk, Notion, or Slack is a plus, not a requirement - 0-2 years in any customer-facing or process-driven role (preferably in SaaS, but not required) - Enough curiosity to spend a little time in the product or help docs before talking to us. No creative background needed, just evidence you looked What sets great candidates apart The best people in this role follow the playbook precisely and know exactly when a ticket doesn't fit it. They don't force a wrong answer to hit volume, and they don't escalate everything out of caution either. They've put in enough time with Runway to have a real sense of what it does and who uses it, so a ticket that's slightly off-script doesn't stump them, even without a creative background. When they see the same question surface three times, they ask whether it should become a macro instead of just answering it a third time. 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. 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 - GWM-1 - Gen-4.5 - General World Models - Robotics SDK - Conversational Real-time Agents - Runway Studios We're excited to be recognized as a best place to work: Crain's | InHerSight | BuiltIn NYC | INC
Support Representative, APAC
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 in London and APAC. We're building a creative platform used by artists, filmmakers, and teams at some of the world's most recognized brands. Our support org handles everything from a five-minute billing question to a technical escalation, and we're building out a dedicated tier for the first kind so our more experienced specialists can focus on the second. We're looking for a Support Representative who's accurate, fast, and comfortable following a process closely under volume. No creative or AI background required. We'll train you on the product. What you’ll do - Resolve high-volume, tickets across account access, billing, and plan questions for Free, Standard, and Pro and Max users - Use existing macros, playbooks, and AI support layer suggestions to close tickets accurately and quickly - Recognize when a ticket needs product judgment or creative-tool troubleshooting, and route it to Tier 2 Support or Enterprise - Flag recurring questions that don't have a macro yet What you’ll need - Clear, accurate written communication, especially on process-driven, checklist-style work - Comfortable with repetitive, high-volume work without losing accuracy - Prior experience with tools like Zendesk, Notion, or Slack is a plus, not a requirement - 0-2 years in any customer-facing or process-driven role (preferably in SaaS, but not required) - Enough curiosity to spend a little time in the product or help docs before talking to us. No creative background needed, just evidence you looked What sets great candidates apart The best people in this role follow the playbook precisely and know exactly when a ticket doesn't fit it. They don't force a wrong answer to hit volume, and they don't escalate everything out of caution either. They've put in enough time with Runway to have a real sense of what it does and who uses it, so a ticket that's slightly off-script doesn't stump them, even without a creative background. When they see the same question surface three times, they ask whether it should become a macro instead of just answering it a third time. 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. 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 - GWM-1 - Gen-4.5 - General World Models - Robotics SDK - Conversational Real-time Agents - Runway Studios We're excited to be recognized as a best place to work: Crain's | InHerSight | BuiltIn NYC | INC
Business Development Representative
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 the US — we also have offices in NYC, San Francisco, and Seattle We’re looking for a Business Development Representative to continue building the outbound motion at Runway and support our GTM Sales team across Enterprise and Mid Market. In this role, you will partner closely with our Enterprise and Mid Market account executives to identify, research, and engage high-potential accounts. You’ll help refine our outbound strategy, messaging, and targeting while creating pipeline with some of the most innovative brands, studios, and technology companies in the world. As we continue to scale the team, this role offers meaningful ownership and the opportunity to influence how prospecting and account development are done at Runway. Over time, there may also be opportunities to run and close smaller SMB deals, giving you exposure to the full sales cycle. This role is ideal for someone who is curious, resourceful, and excited about building and refining processes in a fast-moving environment. What you’ll do - Partner closely with our GTM Sales team to research and prioritize target accounts - Identify and engage stakeholders across creative, marketing, production, and technology teams - Develop thoughtful outbound campaigns across email, phone, and other channels - Craft compelling, highly personalized messaging tailored to brand-driven and technical organizations - Generate qualified pipeline and schedule meetings for our Enterprise and Mid Market account executives - Experiment with messaging, targeting, and sequencing to improve engagement and conversion - Maintain clear notes and activity in CRM tools to support coordinated account strategy - Share feedback from prospects to help inform positioning, product direction, and go-to-market strategy - Over time, manage and close select SMB or smaller expansion opportunities , gaining exposure to discovery, qualification, and closing As part of a growing team, you’ll have the chance to help define best practices, contribute to playbooks, and influence how the BDR function evolves at Runway. What you’ll need - Strong written and verbal communication skills, with the ability to communicate complex ideas clearly and concisely - A research-driven and thoughtful approach to outreach and account development - Curiosity about AI, creative tooling, and how new technologies are adopted inside organizations - Comfort engaging with a wide range of stakeholders, from creative professionals to senior business and technical leaders - High level of ownership, initiative, and comfort operating in ambiguity - Strong organizational skills and attention to detail - Ability to thrive in a fast-moving, evolving environment Nice to have - Experience in a sales development, customer-facing, or growth role - Experience selling into creative teams, marketing organizations, or mid market and enterprise accounts - Experience running discovery or closing smaller deals We especially value candidates who are thoughtful, resourceful, and motivated to improve their craft every day. 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. 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 - GWM-1 - Gen-4.5 - General World Models - Robotics SDK - Conversational Real-time Agents - Runway Studios We're excited to be recognized as a best place to work: Crain's | InHerSight | BuiltIn NYC | INC
Engineering Manager (Enterprise)
Perplexity is continuing to rapidly scale our Enterprise Engineering Organization and seeking Engineering Managers with deep expertise across the Enterprise domain to help lead the next wave of growth. As an Enterprise Engineering Manager, you will combine technical judgment, product intuition, and people leadership to help large organizations adopt AI at scale. We are hiring across the enterprise control plane, enterprise data plane, and connector marketplace and activation. Depending on your area of focus, you will lead and grow a team in one of these areas, addressing challenges such as: Enterprise Control Plane : Building the identity, security, and governance foundations that enable large organizations to deploy Perplexity confidently, including SSO, SCIM, role-based access, customer-managed encryption keys (BYOK), admin APIs, and enforceable policies governing access to data, models, and tools. Supporting regulated-industry requirements, including SOC 2, HIPAA, data governance, and residency, with audit logs and analytics that give administrators visibility into how Perplexity is used. Enterprise Data Plane : Building the connector platform and semantic data layer that give Computer reliable, permission-aware access to enterprise systems and knowledge, including managed authorization, private-system access, and data freshness. Connector Marketplace and Activation : Building discovery, recommendations, onboarding, and marketplace experiences that help customers find and adopt integrations, while working with partners to expand the connector ecosystem. Across these areas, you will translate enterprise customer needs into scalable technical solutions across Perplexity’s products. Responsibilities - Set technical direction for your team and guide architecture decisions across the enterprise platform. - Build the foundational systems that enable large organizations to deploy Perplexity broadly and confidently. - Shape roadmaps with product and design, applying strong technical judgment and product intuition. - Set a high bar for reliability, code quality, testing, and maintenance. Lead incident response and ensure platform changes and connector migrations are rolled out safely. - Partner with engineering teams across the company to ensure the platforms we build are extensible and easy to adopt. - Represent engineering in strategic enterprise customer conversations, partnering with sales and customer success to understand requirements and remove barriers to adoption. - Oversee hiring, onboarding, and mentorship for a rapidly growing team. Develop rigorous interview pipelines and work closely with recruiting to source candidates. - Work with Perplexity’s co-founders to deliver enterprise engineering priorities. Qualifications - Strong technical judgment and experience building enterprise platforms or products, with an understanding of the reliability, security, and usability requirements of enterprise customers. - Domain expertise in at least one of the following areas: - Enterprise control plane: identity and access management, SSO/SCIM, role-based access, key management, admin APIs, policy enforcement, audit logging, data governance, or compliance and residency requirements for regulated industries. - Enterprise data plane: connector and integration platforms, including authentication, source-system permissions, data synchronization, and reliability at scale; or semantic data layers and knowledge platforms that make enterprise data accessible and useful to AI. - Connector marketplace and activation: discovery and recommendation systems, integration onboarding, marketplace product UX, or technology partner ecosystems. - Ability to deliver in a fast-moving environment while balancing customer needs, technical quality, and long-term maintainability. - Detail-oriented and quality-focused - our customers run critical workflows on Perplexity, and our product needs to stay robust and reliable. - Ability to translate enterprise customer needs into clear technical priorities and communicate tradeoffs effectively. - Experience building and managing high-performing engineering teams, with a strong management practice grounded in clear feedback, effective 1:1s, career development, and recruiting and retaining high-caliber talent. - Ability to lead parallel technical initiatives, align strong technical perspectives, and make clear prioritization and tradeoff decisions. - Experience with AI/ML products, enterprise AI adoption, or scaling enterprise platforms at a startup is a plus. - 8+ years of engineering experience, with at least 4 of those years as an engineering manager.
Pricing Operations Lead
About the Team The Pricing & Monetization team is responsible for how our products create and capture value. We partner closely with Product, GTM, Finance, and Systems teams to design pricing models, packaging, and commercial strategies that support adoption, growth, and long-term scaling of the business. To thrive in this team, you need to be a proactive problem-solver who excels at bringing structure to ambiguous challenges. Our work demands strategic thinking, cross-functional collaboration, and precision in execution. Team members succeed when they are analytical, detail-oriented, skilled at balancing multiple priorities, and passionate about driving high-stakes projects forward to deliver meaningful results. About the Role We are looking for a Pricing Operations Lead to help translate pricing and packaging decisions into clear, scalable execution. You will work closely with pricing leaders and cross-functional partners across Product, Engineering, Billing, Finance, and GTM to ensure pricing changes are implemented accurately, system requirements are well managed, and launch decisions move from strategy to reality with discipline. You should be comfortable operating at the intersection of business judgment, systems thinking, and program management. This role will help shape the operating backbone for pricing implementation, support teams developing billing and related monetization systems, and ensure the pricing team's needs are represented clearly in cross-functional planning and execution. In this role, you will: - Lead the operational execution of pricing and packaging decisions from approval through implementation and launch - Translate pricing strategy, policies, and launch decisions into clear business requirements for billing, quoting, revenue, and related systems teams - Partner with Product, Engineering, Billing, Finance, and GTM teams to manage dependencies, scope tradeoffs, testing needs, and launch readiness - Own pricing-related requirement intake and prioritization on behalf of the pricing team, ensuring requests are clear, well managed, and tied to business needs - Support the design and implementation of new product, SKU, packaging, and billing configurations as pricing changes move into production - Establish lightweight but effective pricing operations processes, including governance, documentation, sign-offs, and issue tracking - Identify recurring friction in pricing execution and drive improvements that reduce ambiguity, delays, and rework You might thrive in this role if you: - Have 6+ years of experience leading pricing operations or closely related monetization, commercialization, or revenue operations work - Have a strong track record of helping implement complex pricing or packaging decisions across cross-functional teams - Can translate pricing intent into practical system requirements, launch plans, operating workflows, and stakeholder decisions - Have experience partnering closely with billing systems, product, engineering, finance, and go-to-market teams - Are highly organized and comfortable managing multiple workstreams, dependencies, risks, and timelines at once - Communicate clearly with both business and technical audiences, and can drive accountability without creating unnecessary process - Care deeply about operational precision, customer clarity, and building systems that scale as pricing complexity grows - Are a self-starter who can roll up your sleeves and operate effectively in a fast-paced, high-ambiguity environment About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . 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 . 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 . OpenAI Global Applicant Privacy Policy 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, Revenue Accounting
About the role We are hiring a Manager, Revenue Accounting focused on enterprise revenue to provide hands-on accounting support within Controllership. You will help the team meet the demands of a growing enterprise business through journal entries, reconciliations, close support, and audit support. In this role, you will - Prepare and book journal entries and perform reconciliations for enterprise revenue accounting activity. - Support the monthly accounting close. - Respond to audit requests and prepare supporting documentation. - Work with large datasets to support enterprise revenue accounting execution and investigate accounting activity. You may thrive in this role if you - Bring hands-on accounting execution skills across journal entries, reconciliations, close activities, and audit support. - Are comfortable working with large volumes of data. - Have SQL experience or otherwise demonstrate strong data-analysis capability. Lack of SQL experience is not an automatic disqualifier. - Enjoy contributing to a team supporting a rapidly growing business. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Growth Lead, SEA
About the Team The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments worldwide. We work across the full funnel, from acquisition and activation to retention and monetization, through product experiments, in-product improvements, performance marketing, creative development, and AI-powered workflows. The International Growth team works with regional leaders in priority markets to identify the user needs and product gaps that matter most for adoption, usage, and monetization. We turn country priorities into product roadmaps and growth plans, then partner with engineering, research, design, data science, marketing, finance, policy, and partnerships to test and ship improvements. We combine product strategy with hands-on growth operations. We account for local behavior, competition, and product experience while building shared capabilities such as segmentation, lifecycle journeys, and experimentation systems. We measure what ships, adapt it to the market, and scale approaches that work across markets. About the Role We’re looking for a growth lead in Singapore to shape and execute ChatGPT’s growth plans. You’ll partner with the Singapore GM to understand local users, identify the biggest growth opportunities, and turn those priorities into product improvements, funnel optimizations, and performance marketing tests. You’ll work across acquisition, activation, retention, and monetization, collaborating with Product, Engineering, Design, Data Science, Partnerships, and Marketing teams to influence priorities and ship measurable impact. The role combines product growth and funnel optimization with performance marketing: connecting audience, message, creative, and channel learnings to better in-product journeys. In this role, you will: - Partner with the regional GM to set a country growth plan and roadmap priorities, with clear hypotheses, owners, dependencies, and measurable outcomes. - Use user research, funnel and cohort data, and competitive insight to find local friction and prioritize the opportunities that matter most to users. - Run performance marketing tests in collaboration with regional marketers across relevant channels, creators, and partners; use incrementality, CAC, payback, and LTV to decide what to scale. - Design and run rigorous experiments across onboarding, activation, repeat usage, re-engagement, and paid conversion; measure incremental impact and iterate. Work with Product, Engineering, Design, and Data Science partners to prototype, test, and ship locally relevant experiences. - Partner with regional Marketing and central media teams to brief and prioritize audience, positioning, creative, and channel tests based on the country plan. - Own the country growth scorecard across acquisition, retention, paid conversion, and unit economics, distinguishing incremental user and revenue gains and learnings Connect priority use cases, product improvements, and acquisition plans into a coherent journey from first exposure to repeated value. - Run the growth operating cadence with the GM and regional teams, aligning central and local partners on results, trade-offs, dependencies, and next steps. - Build and operate segmentation, lifecycle journeys, growth tooling, performance marketing and product experimentation capabilities that can be scaled across markets. You might thrive in this role if you have: - 10+ years of experience across product growth, growth marketing, data science, or growth strategy and operations, with hands-on execution in a fast-moving technology company. - A user-first track record of turning local research and behavior into product and growth priorities, then shipping improvements with measurable impact. - Strong command of acquisition, activation, retention, and monetization funnels, including technically rigorous experimentation and interpretation. - Practical performance marketing experience across audience, channel, creative, and measurement decisions, and the ability to partner effectively with media specialists. - Analytical fluency in cohort analysis and growth economics, including incrementality, LTV, CAC, payback, and contribution margin. - Experience adapting and running campaigns across markets, using local audience behavior, channels, language, and cultural context to improve relevance and performance at scale. - Experience owning growth goals and delivering measurable user or revenue outcomes across product and marketing levers. - The ability to influence and align central and regional teams, translate local needs into scalable approaches, and make progress through ambiguity. Workplace & Location - Singapore - Travel as needed for key cross-functional sprints and regional collaboration. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Growth Lead, Japan
About the Team The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments worldwide. We work across the full funnel, from acquisition and activation to retention and monetization, through product experiments, in-product improvements, performance marketing, creative development, and AI-powered workflows. The International Growth team works with regional leaders in priority markets to identify the user needs and product gaps that matter most for adoption, usage, and monetization. We turn country priorities into product roadmaps and growth plans, then partner with engineering, research, design, data science, marketing, finance, policy, and partnerships to test and ship improvements. We combine product strategy with hands-on growth operations. We account for local behavior, competition, and product experience while building shared capabilities such as segmentation, lifecycle journeys, and experimentation systems. We measure what ships, adapt it to the market, and scale approaches that work across markets. About the Role We’re looking for a growth lead in Japan to shape and execute ChatGPT’s growth plans. You’ll partner with the Japan GM to understand local users, identify the biggest growth opportunities, and turn those priorities into product improvements, funnel optimizations, and performance marketing tests. You’ll work across acquisition, activation, retention, and monetization, collaborating with Product, Engineering, Design, Data Science, Partnerships, and Marketing teams to influence priorities and ship measurable impact. The role combines product growth and funnel optimization with performance marketing: connecting audience, message, creative, and channel learnings to better in-product journeys. In this role, you will: - Partner with the Japan GM to set a country growth plan and roadmap priorities, with clear hypotheses, owners, dependencies, and measurable outcomes. - Use user research, funnel and cohort data, and competitive insight to find local friction and prioritize the opportunities that matter most to users. - Run performance marketing tests in collaboration with regional marketers across relevant channels, creators, and partners; use incrementality, CAC, payback, and LTV to decide what to scale. - Design and run rigorous experiments across onboarding, activation, repeat usage, re-engagement, and paid conversion; measure incremental impact and iterate. Work with Product, Engineering, Design, and Data Science partners to prototype, test, and ship locally relevant experiences. - Partner with regional Marketing and central media teams to brief and prioritize audience, positioning, creative, and channel tests based on the country plan. - Own the country growth scorecard across acquisition, retention, paid conversion, and unit economics, distinguishing incremental user and revenue gains and learnings Connect priority use cases, product improvements, and acquisition plans into a coherent journey from first exposure to repeated value. - Run the growth operating cadence with the GM and regional teams, aligning central and local partners on results, trade-offs, dependencies, and next steps. - Build and operate segmentation, lifecycle journeys, growth tooling, performance marketing and product experimentation capabilities that can be scaled across markets. You might thrive in this role if you have: - 10+ years of experience across product growth, growth marketing, data science, or growth strategy and operations, with hands-on execution in a fast-moving technology company. - A user-first track record of turning local research and behavior into product and growth priorities, then shipping improvements with measurable impact. - Strong command of acquisition, activation, retention, and monetization funnels, including technically rigorous experimentation and interpretation. - Practical performance marketing experience across audience, channel, creative, and measurement decisions, and the ability to partner effectively with media specialists. - Analytical fluency in cohort analysis and growth economics, including incrementality, LTV, CAC, payback, and contribution margin. - Experience adapting and running campaigns across markets, using local audience behavior, channels, language, and cultural context to improve relevance and performance at scale. - Experience owning growth goals and delivering measurable user or revenue outcomes across product and marketing levers. - The ability to influence and align central and regional teams, translate local needs into scalable approaches, and make progress through ambiguity. Workplace & Location - Tokyo, Japan - Travel as needed for key cross-functional sprints and regional collaboration. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Growth Lead, France
About the Team The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments worldwide. We work across the full funnel, from acquisition and activation to retention and monetization, through product experiments, in-product improvements, performance marketing, creative development, and AI-powered workflows. The International Growth team works with regional leaders in priority markets to identify the user needs and product gaps that matter most for adoption, usage, and monetization. We turn country priorities into product roadmaps and growth plans, then partner with engineering, research, design, data science, marketing, finance, policy, and partnerships to test and ship improvements. We combine product strategy with hands-on growth operations. We account for local behavior, competition, and product experience while building shared capabilities such as segmentation, lifecycle journeys, and experimentation systems. We measure what ships, adapt it to the market, and scale approaches that work across markets. About the Role We’re looking for a growth lead in France to shape and execute ChatGPT’s growth plans. You’ll partner with the France GM to understand local users, identify the biggest growth opportunities, and turn those priorities into product improvements, funnel optimizations, and performance marketing tests. You’ll work across acquisition, activation, retention, and monetization, collaborating with Product, Engineering, Design, Data Science, Partnerships, and Marketing teams to influence priorities and ship measurable impact. The role combines product growth and funnel optimization with performance marketing: connecting audience, message, creative, and channel learnings to better in-product journeys. In this role, you will: - Partner with the France GM, regional teams, and central teams to set a country growth plan and roadmap priorities, with clear hypotheses, owners, dependencies, and measurable outcomes. - Use user research, funnel and cohort data, and competitive insight to find local friction and prioritize the opportunities that matter most to users. - Run performance marketing tests in collaboration with regional marketers across relevant channels, creators, and partners; use incrementally, CAC, payback, and LTV to decide what to scale. - Design and run rigorous experiments across onboarding, activation, repeat usage, re-engagement, and paid conversion; measure incremental impact and iterate. Work with Product, Engineering, Design, and Data Science partners to prototype, test, and ship locally relevant experiences. - Partner with regional Marketing and central media teams to brief and prioritize audience, positioning, creative, and channel tests based on the country plan. - Own the country growth scorecard across acquisition, retention, paid conversion, and unit economics, distinguishing incremental user and revenue gains and learnings - Connect priority use cases, product improvements, and acquisition plans into a coherent journey from first exposure to repeated value. - Run the growth operating cadence with the GM and regional teams, aligning central and local partners on results, trade-offs, dependencies, and next steps. - Build and operate product experimentation capabilities, segmentation, lifecycle/user journeys, performance marketing, and growth platform/tooling that can be scaled across markets. You might thrive in this role if you have: - 10+ years of experience across product growth, data science, or growth strategy and operations, with hands-on execution in a fast-moving technology company. - A user-first track record of turning local research and behavior into product and growth priorities, then shipping improvements with measurable impact. - Strong command of acquisition, activation, retention, and monetization funnels, including technically rigorous experimentation and interpretation. - Practical performance marketing experience across audience, channel, creative, and measurement decisions, and the ability to partner effectively with media specialists. - Analytical fluency in cohort analysis and growth economics, including incrementality, LTV, CAC, payback, and contribution margin. - Experience adapting and running campaigns across markets, using local audience behavior, channels, language, and cultural context to improve relevance and performance at scale. - Experience owning growth goals and delivering measurable user or revenue outcomes across product and marketing levers. - The ability to influence and align central and regional teams, translate local needs into scalable approaches, and make progress through ambiguity. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . 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 . 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 . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Data Engineer, Hardware & Consumer Devices
About the team OpenAI is building a new generation of AI-powered consumer devices, creating opportunities to bring increasingly capable AI into people's everyday lives. Our Data Engineering team is responsible for establishing the foundational data infrastructure that supports the development, manufacturing, launch, and ongoing operation of these products. We're building the systems that connect information across the entire device lifecycle, enabling engineering, operations, and Data Science partners to understand product performance, identify problems, and make better decisions. This is an early-stage organization with significant greenfield opportunities. We're looking for engineers who want to shape the technical foundations of a rapidly growing business and establish systems that will scale alongside our products. About the role: As a Data Engineer, you'll design, build, and scale the data infrastructure that powers OpenAI's hardware and consumer devices organization. You'll tackle technically challenging problems involving complex data sources, evolving operational requirements, and systems that need to scale from early development through manufacturing and consumer deployment. Unlike roles focused primarily on supporting individual analytics projects, this position emphasizes building durable, reusable data foundations that enable multiple teams and use cases. You'll have significant ownership over technical decisions, work closely with partners across engineering, manufacturing, operations, and Data Science, and help define how we approach Data Engineering as the organization grows. In this role, you will: - Build foundational data infrastructure: Design and implement reliable, scalable data pipelines, platforms, and datasets that support hardware development, manufacturing, customer operations, and device performance. - Connect complex data ecosystems: Integrate information across manufacturing systems, factory operations, device telemetry, quality assurance, and customer-facing operational systems. - Establish durable data models: Develop reusable datasets and data architectures that enable consistent measurement, investigation, and decision-making across multiple teams. - Enable manufacturing and quality intelligence: Connect manufacturing conditions and production history with downstream product performance, reliability, returns, and failure signals. - Prepare for scale: Design systems that evolve from early-stage development and initial production to increasingly complex operations and large-scale consumer deployment. - Partner across disciplines: Work with hardware and software engineers, manufacturing teams, operations leaders, and Data Scientists to translate emerging requirements into robust technical solutions. - Shape our technical direction: Help establish engineering standards, architectural principles, data quality practices, and infrastructure decisions that will influence the organization for years to come. You might thrive in this role if you: - Are comfortable making architectural decisions as requirements evolve and the right solutions aren't immediately obvious. - Are highly self-directed and can take broad, ambiguous problems from exploration through implementation. - Enjoy working directly with cross-functional partners and understanding how technical decisions affect real products and operational outcomes. - Have a builder's mentality and are energized by creating foundational systems rather than exclusively optimizing mature infrastructure. - Hold a high bar for engineering quality while remaining pragmatic about the speed and flexibility required in an early-stage environment. Minimum Qualifications: - Have exceptional Data Engineering fundamentals and a track record of designing, building, and operating complex data systems. - Bring strong technical judgment around data architecture, distributed systems, data modeling, reliability, and scalability. - Have experience developing production-grade pipelines and infrastructure across heterogeneous data sources. Bonus points if you have: - Experience with hardware, consumer electronics, connected devices, or IoT. - Experience building data infrastructure for manufacturing, factory operations, or supply-chain systems. - Familiarity with device telemetry, reliability engineering, product quality, or failure analysis. - Experience supporting customer operations, technical support, or Trust & Safety. - A track record of building data platforms or foundational infrastructure in a startup or rapidly scaling organization. Prior hardware experience is not required. We value exceptional engineering ability, intellectual curiosity, and the capacity to learn new domains quickly. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Customer Success Manager, Ads Solutions (Los Angel...
About the Team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Sales team partners closely with customers 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 Account Manager to support advertisers in onboarding, launching, and growing on OpenAI’s advertising platform. You will manage a portfolio of partners and serve as a trusted advisor, helping them achieve their business objectives while ensuring a strong and responsible experience on our platform. This role sits at the intersection of relationship management, strategy, and execution. You’ll work closely with Sales to drive long-term partner growth and with internal teams to continuously improve the advertiser experience. This is a remote role based in Los Angeles. Candidates must reside in the Los Angeles area. In this role, you will: - Own relationships with a portfolio of advertising partners, serving as their primary point of contact. - Guide advertisers through onboarding and campaign launches to ensure strong adoption of OpenAI’s ads products. - Analyze campaign performance and provide clear, actionable recommendations to improve outcomes. - Identify opportunities to expand partnerships through increased product adoption and incremental investment. - Partner cross-functionally with Sales, Product, Analytics, Policy, and Operations to resolve issues and enhance platform value. - Surface advertiser feedback and insights to inform product improvements and long-term strategy. - Help build scalable processes and best practices that support the growth of OpenAI’s advertising ecosystem. You might thrive in this role if you: - Have 5-10+ years of experience in digital advertising, account management, customer success, consulting or a related client-facing role. - Have experience managing advertiser or agency relationships in a platform, publisher, or adtech environment. - Are comfortable interpreting performance data and translating insights into strategic recommendations. - Have experience with data querying (e.g. SQL, advanced excel/GSheet) - Communicate clearly and builds trust with both technical and non-technical stakeholders. - Operate with ownership and accountability in fast-moving, evolving environments. - Demonstrate sound judgment and a commitment to user trust and responsible platform growth. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Lead Product Manager, Inference
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 Mistral is building a sovereign AI cloud. Our inference platform already serves production traffic at scale. We are hiring a Lead Product Manager to own the inference portfolio within our Cloud & Inference organization. You'll set strategy, write specs, sit with customers running production traffic, and work across our inference, infrastructure, and go-to-market teams to deliver real customer impact. Example problems you may work on include figuring out the next inference product we should launch to help our customers scale their AI workloads or how we cut fraudulent free-tier usage without adding friction for legitimate users. You will work on state of the art infrastructure, in close collaboration with our science and research engineering teams. Your job is to turn that infrastructure into products that AI-native startups and enterprises pay for, integrated with our developer platform Studio. You will operate as an individual contributor first — taking end-to-end ownership of complex and significant product lines — while building the foundation for the inference PM team as the portfolio grows. The size and shape of the team reporting into the role will be defined together with the VP Product once you're in place; from day one the expectation is hands-on product leadership, not people management. You will be the first PM fully dedicated to inference and the most senior product hire in the space. You will report to the VP Product - Cloud & Inference, and work day-to-day with our inference engineering teams in the US and Europe. What you'll do - Strategy and vision: define the vision, strategy, and annual goals for the inference portfolio, aligned with customer needs and company objectives. Benchmark the managed-inference field and pick where we win. - Roadmap and execution: own the full lifecycle for serverless inference, dedicated endpoints, and adjacent services. Prioritize, ship, measure, iterate. Economics: own adoption, revenue contribution, and gross margin for your products. Treat cost-per-token, unit economics, and capacity tradeoffs as product decisions, and partner with GTM, Finance and Marketing on pricing, packaging, and launches. - Customers: spend real time with AI-native startups and enterprises running advanced production workloads. Turn their constraints, like latency, throughput, compliance, and cost, into roadmap choices. - Engineering partnership: work daily with inference engineering and the cloud infrastructure teams behind our data centers on capacity planning, scheduling, routing, and reliability. - Research and open source: track open-source inference advances and emerging model architectures, and turn them into performance and efficiency gains for the product. - Team building: as the portfolio scales, help shape and grow the inference PM team — hiring, mentoring, and setting the product bar. What we're looking for - Deep product experience in tech and infrastructure with a track record of bringing inference, cloud infrastructure, or large-scale distributed systems to market. You have built robust, at-scale AI infrastructure first-hand. - An engineering background before moving into product management. - You have taken an infra or inference product from early stage to material revenue and adoption, owning complex and significant product lines end to end. - Player-coach disposition: you lead from the front — hands-on product work now, with the range and appetite to build and coach a team as we scale. - Fluency in the economics of the business: gross margin, unit economics, and the tradeoffs behind token pricing and GPU capacity. - High ownership and a strong bias for action. You prototype with AI coding tools, write your own specs, and unblock yourself without waiting for engineers or designers. - Low ego, comfort in ambiguity, and credibility with executives, engineers, and customers alike. 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 . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Vendor Security Technical Program Manager
About the Team OpenAI's Vendor Security team helps internal teams work securely with external products, services, and partners. Our work spans software, infrastructure, hardware, professional and managed services, vendor-provided workforces, data, and research. We build the programs and products that help teams understand vendor risk and put effective safeguards in place, protecting our customers, employees, and the company. About the Role We are looking for a Vendor Security Technical Program Manager who can make sound security decisions and turn recurring vendor-security problems into tools and practices that work. You will independently lead vendor-security engagements: understand the business need, investigate the actual data and access, recommend a practical path, and work with the responsible owners until the safeguards are verified. You will also use what you learn to build and improve bounded tools and workflows, with priorities agreed with the Vendor Security lead. This is an individual-contributor role for someone who combines technical judgment with useful delivery. You should be comfortable taking a position, explaining the tradeoff, and changing your mind when the evidence changes. Success means internal teams can use vendors securely, reuse work that still applies, and understand what needs to happen next. In this role, you will: - Own vendor security engagements from understanding the business need through scoping, assessment, decision, treatment, and reassessment when material facts change. Make assessment decisions independently and use judgment about when to involve peers, specialists, or leadership. Route formal exceptions and risk acceptance to the appropriate decision owners. - Understand vendor use cases, workflows, user journeys, data flows, identities, access, integrations, and supply-chain dependencies. Identify plausible attack paths and their consequences for OpenAI. - Assess relevant architectures, configurations, controls, logs, and operational practices. Test whether the evidence supports the security claims that matter to the engagement, and make gaps and uncertainty clear. - Develop practical treatments, including changes to the operating model, data exposure, access, architecture, vendor choice, controls, or containment. Drive implementation with the responsible owners and verify that the treatment works. - Build reusable security patterns with clear applicability, safeguards, evidence requirements, exceptions, and review triggers. - Work with Legal, Procurement, and vendors on security addenda. Evaluate proposed terms and deviations against the engagement, explain their security implications, and develop workable positions with the appropriate decision owners. Legal leads wording and negotiation. - Learn from internal customers, agree priorities with the Vendor Security lead, and define the requirements, roadmap, and success measures for the bounded programs, products, and services you own. - Use Codex or comparable AI-assisted tools to build, inspect, test, and maintain practical improvements to scoping, evidence checks, routing, decision reuse, or treatment tracking. Investigate failures and own the result through adoption, continued operation, and explicit handoff or retirement. - Lead delivery across Security and partner teams. Translate goals into technical requirements, milestones, and delivery plans; influence implementation choices; identify systemic risks; resolve dependencies and disagreements; and carry commitments through completion. - Use casework, incidents, threat information, and customer feedback to improve decisions and the program. As priorities change, recommend what to do next and explain the tradeoffs and effects on existing commitments. You might thrive in this role if you: - Have independently assessed consequential third-party, supply-chain, or comparable security risks, and can apply that judgment to unfamiliar vendor technologies and operating models. - Understand security principles and controls, including data protection, access management, application security, prevention, detection, and response. Can reason about architecture, identity, APIs, data flows, logging, integrations, and whether controls work. - Know relevant frameworks and standards, including ISO 27001, NIST 800-53, and SOC 2, and can use them to inform an assessment of the actual engagement. - Have translated security findings and requirements into practical contractual positions with Legal, Procurement, and vendor representatives. - Have delivered useful products or workflow improvements, tested expected behavior and failure cases, learned from users, and owned performance after launch. - Can use Codex or comparable AI-assisted development tools to build, run, inspect, and test working solutions. - Have independently delivered cross-functional programs, turned ambiguity into technical requirements and plans, and adapted priorities to achieve measurable outcomes. Can judge when to build, use existing systems, or engage partners to resolve blockers. - Build constructive relationships with Security, Engineering, Product, Privacy, Legal, business teams, and vendors. Communicate complex security issues clearly in writing and conversation, including your recommendation, supporting evidence, and relevant tradeoffs. - Question assumptions, try thoughtful new approaches, investigate unfamiliar systems, and revise your judgment when new evidence changes the situation. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Total Rewards Business Partner, APAC
About the Team OpenAI’s Total Rewards team plays a critical role in attracting, rewarding, and retaining world-class talent in support of our mission to ensure artificial general intelligence benefits all of humanity. The team designs and delivers compensation and benefits programs that are competitive, equitable, innovative, and scalable, while balancing global strategy, local market dynamics, employee experience, and long-term sustainability. About the Role OpenAI is seeking an APAC Total Rewards Business Partner to lead and support compensation initiatives and provide regional benefits execution and operational support across the region as we continue to expand our global footprint. This role will serve as a key regional partner, helping translate OpenAI’s global Total Rewards strategy into programs and practices that reflect local market needs, regulatory requirements, and the evolving needs of our employees. In this role, you will partner closely with regional leadership, HR Business Partners, Recruiting, People Operations, Finance, Payroll, Legal, and external partners to design, implement, and manage compensation and benefits programs across APAC. You will operate as both a strategic advisor and hands-on practitioner, balancing global consistency with regional flexibility while maintaining a high bar for employee experience and operational excellence. This role is based in Singapore and we use a hybrid work model of 3 days in the Singapore office per week. In this role, you will: Regional Total Rewards Partnership: Serve as a trusted Total Rewards advisor across APAC, providing strategic and practical guidance on compensation, benefits, market practices, and complex employee matters as the region scales. Compensation Strategy & Design: Support the development and evolution of base pay structures, incentive programs, equity frameworks, and other compensation programs to ensure competitiveness, internal consistency, and alignment with OpenAI’s global compensation philosophy. Benefits Execution & Operations: Partner with the International Benefits Lead to support the implementation and ongoing operation of APAC benefits programmes, aligned with agreed priorities and programme designs. Provide regional support for benefits rollouts, vendor coordination, employee communications and operational issue resolution, and surface local insights to inform programme decisions. Market Benchmarking & Insights: Lead compensation and benefits benchmarking and market analysis across APAC, translating external market developments, regulatory changes, and regional practices into thoughtful recommendations. Offer Strategy & Pay Decisions: Partner with Recruiting and HRBPs on offer design, compensation decisions, and approvals, balancing market competitiveness, internal equity, global philosophy, and local market considerations. Program Management & Governance: Support the effective administration and governance of regional Total Rewards programs, ensuring strong controls, data integrity, regulatory compliance, and consistent application of policies and practices. Employee Experience & Communication: Develop clear, thoughtful communications that help employees and leaders understand and navigate Total Rewards programs, including compensation processes, benefits enrollment, and program changes. Operational Excellence & Automation: Identify opportunities to simplify, automate, and scale Total Rewards processes and tools while strengthening data integrity, controls, and the overall operating model. You might thrive in this role if you have: Total Rewards Expertise: 10+ years of experience in compensation, benefits, or broader Total Rewards, with meaningful experience supporting programs across multiple APAC markets. Regional Knowledge: Strong understanding of APAC compensation and benefits practices, market dynamics, and regulatory considerations, with the ability to navigate differences across countries and cultures. Strategic & Analytical Thinking: Strong analytical and problem-solving skills, with the ability to translate complex data, market information, and business needs into clear recommendations. Communication & Influence: Excellent communication and presentation skills, with demonstrated ability to advise senior leaders and navigate nuanced Total Rewards discussions across different audiences and markets. Project Management & Execution: Strong organizational and project management capabilities, with the ability to independently manage multiple complex initiatives in a fast-moving environment. Cross-Functional Collaboration: Proven ability to work effectively across HR, Recruiting, Finance, Legal, Payroll, Operations, and business leadership. Operational Mindset: A strong orientation toward scalable processes, automation, data integrity, and continuous improvement, with a willingness to work hands-on through complex problems. Adaptability: Comfort operating in ambiguity and building solutions in an evolving environment where business needs, markets, and organizational structures can change quickly. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Technical Program Manager, Robotics
About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the physical constraints of physical systems. About the Role As a Technical Program Manager, Robotics Facilities, you will serve as the Robotics point-of-contact for cross-functional partners supporting the design and construction of Robotics sites. You will consolidate requirements, priorities, and decisions across Robotics disciplines and route those inputs through your counterpart, who manages design and construction partners and coordinates their workstreams. You will clarify requirements, coordinate technical and operational inputs, manage dependencies and changes, and drive timely decisions through planning, design, construction, commissioning, and handover. This role calls for sound program judgment as research and operational needs evolve. This role is based in San Francisco, CA and requires in-person presence 4 days a week. In this role, you will: - Consolidate requirements, priorities, and decisions across Robotics research, engineering, and operations teams, providing the Real-Estate Workplace counterpart with a clear and coordinated view of Robotics needs. - Translate Robotics workflows and equipment needs into documented requirements for floor layouts, utilities, network connectivity, environmental conditions, material flow, physical access, and operational support, working with technical owners to define acceptance criteria. - Coordinate Robotics design reviews, ensuring technical owners assess proposals, resolve open questions, and confirm that agreed requirements are reflected in project documents. - Track Robotics deliverables and dependencies against project milestones, surface risks and changes early, and secure decisions needed to keep work moving. - Coordinate with Legal, Finance, Security, IT, Environmental Health & Safety, and other specialists to resolve issues affecting Robotics requirements and readiness. - Coordinate Robotics readiness for equipment installation, moves, commissioning, and operational handover, with clear ownership and follow-through. - Identify facility constraints that slow experimentation or operations, and use feedback from Robotics teams to improve requirements and handover practices for future projects. You might thrive in this role if you: - Have experience leading technical programs involving hardware and physical infrastructure, ideally in robotics, laboratories, advanced manufacturing, or similarly complex environments. - Can reconcile competing priorities across technical and operational teams and translate evolving needs into clear requirements and acceptance criteria. - Can read drawings and technical documentation, ask useful questions about building systems and equipment interfaces, and involve specialists at the right time. - Bring disciplined program management across requirements, schedules, dependencies, risks, decisions, and change management. - Build strong working relationships across research, engineering, operations, and facilities partners, and communicate technical tradeoffs clearly to secure alignment. - Are comfortable moving between technical detail and broader program priorities across multiple concurrent efforts, focusing teams on decisions and dependencies that affect progress. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Technical Program Manager, People Innovation Labs
About the Team People Innovation Labs is a product, design, and engineering team embedded in the People organization. We build AI-powered products that improve how OpenAI finds and supports exceptional talent and helps employees do their best work. Our work spans recruiting, HR, learning, performance, culture, and company-wide knowledge. We build new products from the ground up and work closely with teams across OpenAI to rethink existing workflows using our latest models. About the Role We’re looking for an experienced Technical Program Manager to lead execution across a portfolio of complex, cross-functional initiatives. You’ll partner closely with product managers, designers, engineers, and teams across the People organization to turn product strategy into clear, coordinated execution. You’ll establish the plans and operating structures needed to move work forward, align technical and operational teams, drive decisions, manage dependencies and risks, and ensure stakeholders are prepared for launches. Because we build new products from the ground up, the work does not end when a product launches. You’ll own ongoing engagement with users, including onboarding, training, hands-on support, and creating clear ways for people to share feedback. You’ll develop a deep understanding of how our products fit into users’ day-to-day work, what is working, and where they are struggling. You’ll bring those insights back to product, design, and engineering so the team can iterate quickly toward product-market fit. You’ll also help keep the team aligned with its broader objectives. You’ll maintain a clear view of priorities, progress, dependencies, risks, and outcomes across the portfolio and provide clear updates and recommendations to team and company leadership. In this role, you will: - Independently lead complex, high-priority technical programs from early planning through launch, adoption, and ongoing iteration. - Partner with product and engineering leadership to translate strategy and team objectives into clear, executable plans. - Establish program structures, decision-making forums, operating cadences, and accountability across multiple teams. - Align product, design, engineering, data, operations, and other stakeholders around priorities, responsibilities, and delivery plans. - Partner closely with engineering leads to manage technical dependencies, sequencing, delivery risks, and launch readiness. - Identify gaps in strategy or execution, develop recommendations, and drive the decisions needed to move work forward. - Anticipate risks and blockers, clarify tradeoffs, resolve disagreements, and escalate decisions when needed. - Own communication, enablement, change management, and rollout strategies for new products and workflows. - Lead post-launch user engagement through onboarding, training, office hours, hands-on support, and other programs that drive adoption. - Build trusted relationships with users and create an environment where they provide frequent, candid feedback. - Observe how products fit into real workflows and identify points of confusion, friction, or unmet need. - Combine user feedback, usage data, and operational signals to understand what is working and what needs to change. - Translate user insights into clear themes and actionable recommendations for product, design, and engineering. - Create tight feedback loops that help the team test assumptions, learn quickly, and iterate toward product-market fit. - Define and track program health, adoption, user sentiment, and operational outcomes. - Maintain visibility into priorities, progress, dependencies, and risks across the team’s portfolio. - Prepare clear, decision-oriented updates and recommendations for senior leadership. - Improve the team’s planning and execution practices while keeping processes lightweight. You might thrive in this role if you: - Have 7+ years of experience in technical program management, product operations, or a similar role leading complex software initiatives. - Have independently led multiple high-impact programs involving several technical and business teams. - Have helped take new software products from early planning through launch, adoption, and rapid iteration toward product-market fit. - Are energized by working directly with users and willing to provide hands-on support while a product is still new. - Know how to build trust with users, ask good questions, and get candid feedback about what is and is not working. - Can identify patterns across qualitative feedback, usage data, and operational signals and turn them into actionable recommendations. - Have strong technical fluency and can partner with engineers on architecture, integrations, data dependencies, security, reliability, and delivery tradeoffs. - Have led significant operational or organizational change alongside technical product delivery. - Can influence senior leaders, drive difficult decisions, and build alignment across teams with competing priorities. - Identify and address strategic or execution gaps without waiting for detailed direction. - Communicate clearly and directly across technical teams, operational partners, users, and executives. - Can move comfortably between organizational strategy and detailed, hands-on execution - Bring structure to fast-moving work without adding unnecessary process. - Are curious about how AI can change the way organizations operate and how people work. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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 Sourcing Leader, Professional Services
About the Team OpenAI Finance helps ensure the organisation is positioned for long-term success as we pursue our mission. The Strategic Sourcing & Procurement team helps OpenAI scale responsibly and at speed by choosing the right external partners, structuring strong commercial agreements and building resilient supplier relationships. We partner with teams across the company to turn rapidly evolving needs into practical, economically sound solutions. Professional Services provides specialist expertise and capacity across OpenAI, spanning consulting and advisory, finance and accounting, legal, people-related services and managed services. Our sourcing team helps business leaders define the outcomes they need, select capable partners and establish clear commercial and delivery accountability. About the Role We are seeking a Strategic Sourcing Leader to lead and develop the Professional Services sourcing team and set direction across its portfolio. This is a people-management role with accountability for team performance, commercial quality, stakeholder experience and sustained business outcomes. You will translate business priorities into category strategies, achievable delivery plans and clear decision authority, while developing the judgement and independence of experienced sourcing professionals. You will oversee a broad portfolio, from strategic advisory relationships and enterprise programmes to a high volume of statements of work and renewals. You will remain hands-on in selected complex negotiations and critical decisions, while enabling the team to own and deliver its work. Working with senior leaders across Finance, Accounting, Legal, People, Extended Workforce and the business, you will create clarity from incomplete information, resolve competing priorities and adapt the team's approach as OpenAI grows. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: - Lead and develop the team: set clear objectives and expectations, delegate with appropriate decision boundaries, provide regular feedback, review performance and address persistent gaps. Build development and coverage plans that strengthen capability and reduce reliance on individual experts. - Set the Professional Services portfolio strategy and roadmap, connecting business objectives, demand, spend, supplier markets and risk. Guide category plans and decisions on where to compete, consolidate, retain specialist partners or change the service delivery model. - Manage the team's pipeline and capacity across strategic negotiations, supplier governance and recurring SOWs. Allocate work by capability, complexity and risk; make resource constraints and dependencies visible; and agree priorities and recovery plans before commitments become unachievable. - Personally lead selected critical negotiations and set standards for commercial quality across the team. Review strategy and assumptions early, using credible alternatives and comparable economics to shape scope, resource mix, pricing, deliverables, acceptance criteria, change controls, audit rights and exit protections. - Build proportionate intake, tiering, preferred-partner models, playbooks and review pathways with Procurement Operations, Contract Management, Enablement and control functions. Agree decision rights and usable handovers so repeatable work moves efficiently and material exceptions receive the right attention. - Strengthen supplier relationships and accountability through segmentation, competition, performance reviews and improvement plans. Agree post-signature owners with the business and use service evidence, concentration risk, renewal exposure and transition options to guide supplier decisions. Assess supplier productivity proposals for their effect on staffing, fees, quality and delivery risk. - Partner with Finance and Accounting on spend visibility, demand scenarios, forecasting, approval discipline and invoice-to-contract alignment. Test fee models, staffing assumptions, change exposure and total economics, with clear baselines for savings, cost avoidance and realized value. - Partner with Legal, People and Extended Workforce to select appropriate service models and distinguish Professional Services from contingent labour or hiring needs. Translate specialist guidance into practical safeguards for service delivery, intellectual property, confidentiality and workforce-related risk. - Establish a concise view of portfolio and team performance covering commercial and service outcomes, pipeline health, cycle time, risk, stakeholder experience and team capability. Use evidence to improve decisions, commitments and delivery; distinguish negotiated benefits from value realized. - Build trusted senior stakeholder relationships and challenge demand, scope or supplier preferences constructively. Resolve difficult trade-offs on value, speed, quality and risk, and escalate decisions beyond your authority with clear options and a recommendation. - Personally use approved AI tools and lead adoption of improved sourcing workflows across the team, including supplier research, proposal analysis, negotiation preparation and reporting. Validate sources and calculations, retain human commercial judgement, and measure adoption and gains in quality, speed or capacity. You might thrive in this role if you: - Have 10+ years of progressive strategic sourcing, procurement or category management experience, with substantial depth across multiple Professional Services categories and ownership from strategy through supplier performance. - Bring 5+ years of people leadership experience, including formal responsibility for objectives, performance, development and delegation. Can demonstrate stronger team capability, independent judgement and sustained delivery through your leadership. - Have personally led complex services negotiations and can explain the alternatives, commercial decisions and measurable outcomes, while showing how you coach others to deliver comparable quality. - Understand consulting, advisory, managed services and project-based commercial models, including experience with large multidisciplinary firms such as the Big Four and specialist providers. Bring breadth across areas such as finance, accounting, legal, healthcare or benefits-related services, alongside sound judgement on workforce boundaries. - Have turned category strategies into practical operating improvements, balancing standardization with flexibility and strategic work with recurring demand. Can show adoption, reliable delivery and stronger stakeholder experience. - Influence senior stakeholders through trust, structured thinking and concise communication. Can work through disagreement, make trade-offs explicit and seek decisions at the right level. - Bring strong financial and analytical judgement, using imperfect spend, supplier and performance data to compare options, test assumptions and verify business value beyond negotiated savings. - Lead effectively through ambiguity, rapid change and limited structure. Can reset priorities, invite challenge and adapt working practices to different company stages, operating models and organisational cultures. - Have practical experience using AI to redesign sourcing work and helping others adopt it, with clear human review, quality checks and evidence of improvement. - Create an inclusive team environment with clear expectations, constructive feedback and room for respectful challenge. Combine accountability with coaching, recognize progress and build resilience through prioritization and dependable support. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Software Engineer, Enterprise Controls
About the Team Enterprise Controls & Console is part of Enterprise Engineering. We build the permissions, governance, and administration capabilities that help organizations use and deploy ChatGPT, Codex, and OpenAI products with confidence. We give administrators granular controls over access and security, helping ensure that people and agents operate within the boundaries their organizations define. Our work combines complex backend platform engineering with enterprise product needs and touches every major product and model launch. We build scalable, reusable services and intuitive administration experiences, and provide a shared controls foundation that enables internal teams to introduce new capabilities safely. About the Role We are looking for an experienced backend software engineer to help shape and build the systems behind enterprise access, governance, and sharing. You will bring deep backend expertise and strong product judgment to problems that span multiple OpenAI products, including how people and agents share access and work together. You will lead technical design and delivery, translate ambiguous enterprise needs into clear system behavior, and remain hands-on from implementation through production operation. This role is based in San Francisco. In this role, you will: - Design and build backend services for permissions, authorization, and governance across ChatGPT, Codex, and OpenAI APIs. - Develop sharing capabilities between people and agents, with clear access rules and enterprise controls that are understandable to administrators and users. - Build reusable services and APIs that support workspace administration and console experiences as OpenAI products evolve. - Lead architecture and delivery for complex initiatives, aligning product and engineering partners on requirements, tradeoffs, and rollout plans. - Translate enterprise needs into clear configuration, predictable permission behavior, and maintainable systems that other product teams can build on. - Own the reliability, security, and performance of the services you ship through testing, observability, production debugging, and continuous improvement. Your background might look something like: - 9+ years of professional backend software engineering experience, excluding internships, building and operating production services. - Deep backend engineering expertise and a track record of shipping complex product or platform capabilities that customers depend on. - Experience providing technical leadership for substantial initiatives, making architectural decisions, and coordinating delivery across teams while remaining hands-on. - Strong proficiency in a backend language such as Python, Go, Rust, Java, or C++, with sound software design and systems fundamentals. - Experience designing distributed services, APIs, and data models, with an understanding of reliability, consistency, scalability, and performance tradeoffs. - Experience building authorization, permissions, or enterprise governance systems, including translating access policies into reliable application behavior. - Strong product judgment and communication skills, with the ability to turn ambiguous user and administrator needs into practical technical decisions. - A track record of owning production systems, diagnosing difficult failures, and improving security, testing, observability, and operational reliability. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . 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 . 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 . OpenAI Global Applicant Privacy Policy 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 Product Counsel
About the Team OpenAI's Legal team plays a crucial role in furthering OpenAI's mission by tackling innovative, fundamental legal issues in AI. If you're passionate about doing significant and unique work as a technology lawyer, this team is for you. The team comprises professionals from diverse fields, including technology, AI, privacy, IP, corporate, employment, tax law, regulatory, and litigation. About the Role As a member of our Product Counsel team, you will advise on a broad range of issues arising from hardware products and technologies, with a focus on software that power them. You’ll work closely with software engineering, product, design, and business teams from development through launch and ongoing support. This is a unique opportunity to engage directly with the forefront of AI legal issues. This role reports to our DGC of Hardware. 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: - Work closely with product and engineering teams, participate in architecture and product reviews, and advise throughout development, launch, and ongoing support. - Support software and firmware licensing, open-source, compatibility and ongoing device support. - Provide broad product counseling on consumer experiences, user terms, disclosures, marketing claims, consumer protection and regulatory requirements. - Advise and coordinate on product, commercial, IP, privacy, security, competition, and regulatory legal issues so product decisions and external commitments are consistent. - Build practical guidance and review processes, adapt support to changing priorities, and take ownership of emerging issues across teams. You might thrive in this role if you: - Have 8+ years of relevant legal experience, including substantial product counseling for consumer devices, software embedded in hardware, gained in-house, at a technology-focused law firm, or both. - Can work with engineers on embedded software and firmware, hardware dependencies, and translate that understanding into practical advice. - Have experience with software licensing and the legal issues that arise when device software, apps, and connected services work together. - Build trusted cross-functional relationships and explain complex issues clearly, balancing legal risk with product goals and responsible development. - Take ownership and bring an adaptable, collaborative working style: shift priorities, learn unfamiliar issues, and move between strategic advice and hands-on problem solving while knowing when to involve specialists. - Have a JD and license or qualification to practice in CA. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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, Accounts Payable - Compute
About the Team OpenAI’s Procurement team makes working with the world easy, fast, and safe. We connect supplier readiness, purchasing, invoicing, and payment so teams can move with confidence as OpenAI scales. Accounts Payable and Supplier Master Data Operations provide the trusted data, dependable execution, and financial discipline behind that experience. About the Role OpenAI’s compute infrastructure depends on controlled execution of significant supplier spend. As Senior Manager, Accounts Payable — Compute, you will own payment readiness and material exceptions across large-value, business-critical obligations. Complex agreements evolve through amendments to pricing, capacity, service credits, billing mechanics, legal entities, and payment schedules. You will translate approved obligations into accurate, timely payments while navigating supplier disputes, late approvals, close deadlines, and cross-system dependencies. We’re looking for a hands-on technical and operational leader who can interpret complex payment terms, reconcile financial data, diagnose system failures, and build scalable workflows. Coordinating across multiple Compute Finance and Accounting teams is a core responsibility: you will establish decision owners, align deadlines, and move interdependent work forward in parallel. You will set the compute AP operating plan and lead delivery with Procurement, Treasury, Tax, Finance Systems, and existing processing teams, with measurable improvements in controls, service, and capacity. Location: 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: - Own the compute invoice-to-payment operating plan, prioritize material exceptions, and lead supplier escalations across complex, high-value obligations and tight payment deadlines. - Interpret executed contracts and approved amendments affecting pricing, capacity, credits, billing mechanics, entities, and payment schedules; translate them into invoice-validation, PO/change-order, approval, control, and payment requirements. - Personally investigate discrepancies, supplier disputes, missing credits, duplicate risks, and PO coverage gaps. Trace records, field mappings, approval statuses, and sync failures across procurement and ERP systems; resolve root causes with accountable Finance, Procurement, supplier, and Systems partners. - Lead a payment-readiness cadence across Compute Finance and Accounting teams, consolidate the complete obligation and payment view, and resolve dependencies across charge validation, PO coverage, approvals, funding, and close. Track decision owners, deadlines, blockers, and escalation paths so material payments move forward as approval lands. - Confirm supplier, site, entity, tax, payment-method, and approval readiness with the relevant owners before payment release. - Coordinate funding forecasts and close-period payments with Treasury; reconcile invoice aging, payment registers, and bank/settlement evidence to support Accounting’s completeness and cutoff conclusions. - Design matching tolerances, validation rules, exception routing, evidence requirements, and escalation thresholds with control and accounting partners, preserving independent verification and segregation of duties. - Map compute workload and usable capacity by task and complexity, assign eligible work across employees, contractors, and shared-service teams, and maintain trained backups and close coverage. Coach task owners and backups, strengthen execution standards, and build greater team autonomy. - Set a prioritized improvement roadmap tied to compute business needs. Own requirements and acceptance criteria for workflow and AI improvements; lead operational testing and adoption with Finance Systems and Enablement, verify reconciliation and fallback, and measure service, risk, and verified capacity outcomes. You might thrive in this role if you: - Bring 8+ years in AP, payments, or related finance operations, or equivalent experience, with personal ownership of complex, high-value supplier obligations and material exceptions from executed contract through invoice approval, payment, and settlement. - Bring strong judgment on controls, segregation of duties, supplier verification, reconciliations, and close support in an audited environment. - Can interpret complex pricing, capacity, credit, billing, and payment terms and translate contract amendments into executable workflows, matching rules, and clear decision ownership. - Have led coordination across multiple finance and accounting teams on material payments, reconciled competing priorities and deadlines, and established clear decisions, handoffs, and escalation paths with suppliers and partners. - Have independently led cross-functional operating improvements and delivery teams, built demand-and-capacity plans, maintained peak and backup coverage, and demonstrated measurable results while staying close to execution. - Can independently reconcile large financial datasets using advanced spreadsheets or comparable analytical tools, establish complete populations and control totals, and diagnose ERP workflow, data, and integration failures. Oracle Fusion and Zip experience is helpful. - Have demonstrated practical application of AI in finance or operations, with measurable gains in accuracy, speed, or capacity. Can translate business and control requirements into testable workflows and lead UAT, with human review, exception handling, reconciliation, fallback, and ongoing monitoring. - Experience with cloud infrastructure, compute, data centers, or similarly complex supplier arrangements is required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Physical Network & Structured Cabling Engineer
About the Team OpenAI is on a bold mission to build the world’s most advanced AI infrastructure. We are seeking a Data Center Network and Structured Cabling Engineer with 10+ years of experience in designing and implementing optimized network and structured cabling solutions at large data centers buildings and data center campuses. The Data Center Engineering team is central to this mission defining infrastructure strategy, driving technical innovation, working with research to set performance benchmarks, and developing reference designs that enable rapid, scalable global deployment. As part of this team, you will help design and deliver next-generation data center infrastructure optimized for AI workloads. You’ll collaborate across research, site selection, design, construction, commissioning, hardware engineering, deployment, operations, and global partners to bring OpenAI’s infrastructure vision to life. Role Summary As a Physical Network & Structured Cabling Engineer, you will own the design, implementation, and quality assurance of structured cabling and physical network infrastructure across OpenAI’s global data center footprint. This role bridges design, construction, and operations, ensuring that every layer of our physical networking from fiber trunks to copper patching meets the highest standards of performance, reliability, and scalability. Key Responsibilities - Design and specify physical network infrastructure across data center buildings and campuses, including fiber and copper cabling, network rooms, rack layouts, cable trays, and duct bank pathways. Coordinate with other engineering disciplines to ensure network infrastructure space, power, cooling, and operational requirements are incorporated into the overall design - Develop standards, reference designs, and installation guidelines for structured cabling and physical network deployments. - Translate logical network architectures and hardware connectivity requirements into scalable physical designs, including fiber topology, port connectivity, patching, redundancy, and capacity planning, in partnership with network engineering and operations teams. - Provide technical direction to design consultants, cabling vendors, and installation contractors, resolving scope gaps and ensuring designs are constructible and meet network requirements. - Define installation quality and acceptance criteria, and oversee inspection, testing, commissioning, and turnover of structured cabling systems. - Lead physical network design reviews, coordinate clash detection and resolution with other disciplines, and conduct site inspections to verify installation quality and conformance with design and operational requirements. - Troubleshoot and resolve issues during build, commissioning, and handover phases to ensure network readiness. - Develop and maintain physical network documentation, including design requirements, drawings, port maps, cable schedules, bills of materials, labeling standards, and as-built records. - Provide feedback to design and operations teams to drive continuous improvement of physical network standards. Qualifications - Bachelor’s degree in Engineering, Telecommunications, or related field, or equivalent experience. - 10+ years of experience designing and delivering physical network infrastructure and structured cabling systems for large-scale data centers, including responsibility for design decisions, construction coordination, and operational readiness. - Strong understanding of data center network topologies and high-speed optical connectivity, including transceivers, fiber types, breakout configurations, connector and polarity schemes, and optical loss budgets. - Expertise in industry standards such as ANSI/TIA, BICSI and other relevant structured cabling guidelines. - Proven ability to coordinate with cross-functional teams and external vendors on large-scale projects. - Strong skills in reviewing and interpreting technical drawings, cable schedules, and documentation management. - Excellent written and verbal communication skills, with the ability to engage both technical and non-technical stakeholders. - Willingness to travel frequently to global data center sites. Preferred Skills - Master’s degree in Engineering, or relevant certifications such as BICSI, RCDD, or equivalent. - Experience with hyperscale cloud, AI, or high-performance computing environments. - Proficiency in 2D and 3D engineering tools (e.g., CAD, Revit) for infrastructure design and clash detection analysis. - Experience with structured connectivity data and automation for generating and validating port maps, cable schedules, bills of materials, and labels. - Strong analytical and troubleshooting skills for physical layer systems and issues. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
People Technology Analyst, Workday PATT & Benefits
About the Team OpenAI’s People team helps us hire, support, and retain the people who will safely build and deploy artificial intelligence that benefits humanity. The People Technology team brings together our enterprise people systems and the engineers building new internal products and AI-powered tools. We work across the People organization to improve the employee experience, simplify operations, and build technology that supports OpenAI’s global growth. About the Role We’re looking for a People Technology Analyst with deep expertise in Workday Absence, Time Tracking, and Benefits. You’ll independently own configuration, ongoing support, and improvements across these areas, including benefits for our US and international employees, from day one. You’ll work closely with Benefits, People Operations, Payroll, Finance, and Engineering to translate complex requirements into reliable systems and straightforward employee experiences. You should be comfortable configuring Workday yourself, tracing issues across modules and integrations, and owning improvements from the first conversation through launch and ongoing support. As part of our combined People Technology team, you’ll also help identify where automation, AI, and custom tools can improve how we work. You’ll bring the domain expertise needed to make those solutions useful and dependable. In this role, you will: - Own Workday configuration and improvements across Absence, Time Tracking, and Benefits, including the connections between leave, time worked, and benefits eligibility. - Design and maintain absence plans, accruals, eligibility rules, leave processes, time entry rules, calculations, validations, and approvals for a growing global workforce. - Partner with the Payroll systems owner to ensure absence, time tracking, and benefits data flows accurately into payroll. Investigate source data issues and test downstream impacts of changes in your areas. - Independently own US and international benefits configuration, including benefit plans, eligibility rules, enrollment events, life events, coverage levels, and rates. - Lead open enrollment systems readiness, including configuration, testing, launch, and support. Partner with technical teams and benefits vendors to maintain and troubleshoot integrations. - Lead Absence, Time Tracking, and Benefits systems work for new countries and entities, policy changes, and evolving employee needs. Partner with functional owners to translate local requirements into configuration. - Own projects from discovery and prioritization through configuration, testing, release, documentation, and adoption. Stay accountable for how the solution performs after launch. - Partner with engineers to improve integrations and build automation or AI-assisted workflows that reduce manual work and make employee support easier. - Maintain system security, data quality, reporting, and change controls. Resolve production issues and address their underlying causes. - Create clear documentation and training that helps employees, managers, and People teams use our systems effectively. You might thrive in this role if you have: - Deep, hands-on Workday expertise across Absence and Time Tracking , with experience designing, configuring, testing, and supporting connected workflows across both. - Demonstrated experience independently owning Workday Benefits configuration for US and international programs , including open enrollment, eligibility, life events, and connections to benefits vendors. - An understanding of how time, absence, and benefits data flows into payroll and other downstream systems, with the ability to test changes and troubleshoot issues with the relevant system owners. - Experience translating complex policies and business requirements into maintainable system designs, including country-specific configurations. - Strong Workday technical skills, including business processes, calculated fields, reporting, security, and data loads, along with the ability to troubleshoot integrations with technical partners. - Ownership of systems through implementation and ongoing operations, with a record of improving reliability and the experience of the people using them. - Good product judgment. You ask questions, understand the underlying problem, prioritize thoughtfully, and evaluate whether a change made things better. - Clear communication and the ability to work across People, Payroll, Benefits, Finance, and Engineering. - Comfort working through ambiguity, balancing urgent operational needs with longer-term improvements, and following through on details. Preferred Qualifications - Global Absence, Time Tracking, or Benefits implementations and new country or entity launches. - Collaboration with software engineers on internal products, integrations, or workflow automation. - Practical use of AI to improve systems work, documentation, testing, or employee support. - Relevant Workday certifications or Workday Pro credentials. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
North America Vendor Lead, Ads
About the Team The SMB Ads team helps businesses discover, adopt, and grow with OpenAI’s advertising solutions. As we scale globally, we are building a high-performing sales organization that combines operational excellence, strong customer experiences, and AI-native ways of working. We partner closely with Sales, Revenue Operations, Finance, Product, Enablement, Program Management, and external BPO partners to drive advertiser acquisition, activation, revenue growth, and retention. About the Role We are hiring a BPO Lead to build and scale the outsourced operating model that supports our Ads business in North America and globally. This is a builder role. You will design the governance, performance systems, capacity plans, quality programs, and accountability mechanisms that enable our BPO partners to deliver exceptional commercial outcomes. You will work across internal teams and external partner leadership to improve seller productivity, advertiser growth, forecasting accuracy, and operational quality. This is a highly cross-functional individual contributor role that sits at the intersection of Ads Sales, SMB, Revenue Operations, Finance, Enablement, Product, Program Management, and external BPO leadership. You will help define how OpenAI operates with external partners and build the systems, processes, and accountability mechanisms that enable the business to scale. In this role, you will: Build and scale BPO operating models, governance structures, and performance frameworks for Ads - Drive results across revenue, pipeline, advertiser acquisition, activation, retention, seller productivity, and quality - Lead business reviews and executive governance forums with BPO partners and internal stakeholders - Develop scorecards, forecasts, inspection mechanisms, and escalation processes that surface risks early - Improve sales quality through playbooks, QA frameworks, coaching programs, and performance analysis - Partner with Sales, Revenue Operations, Product, Enablement, Finance, and Program teams on new products, markets, and sales motions - Create workforce and capacity plans aligned to business demand and growth forecasts - Determine which customer segments and sales motions should be handled by BPO partners versus internal teams - Use AI, automation, and scalable systems to improve execution, visibility, and seller productivity You might thrive in this role if you have: - 5+ years of experience in vendor operations, commercial operations, outsourced sales, or a scaled revenue organization - Experience in Ads, advertiser growth, performance marketing, or a comparable SMB sales motion - Working knowledge of sales funnels, forecasting, advertiser activation, spend growth, retention, and churn - Experience improving operating processes, scorecards, quality programs, or capacity plans across vendors or markets - Strong analytical, operational, and communication skills, with the ability to turn data into clear actions and work effectively across teams - Interest in using AI and automation to improve execution, visibility, and seller productivity 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
International Payroll Operations
About the Team OpenAI Finance is responsible for ensuring the organization is set up for success in pursuit of its mission. OpenAI’s Payroll team is responsible for timely and accurate processing of payroll and ensuring compliance with all statutory regulations. About the Role At OpenAI, payroll is not a back-office function — it is mission-critical infrastructure. We are seeking a seasoned International Payroll lead to scale and continuously improve the global payroll and payroll-support ecosystem that serves one of the fastest-growing and most technically sophisticated organizations in the world. This role is based in our Dublin, Ireland office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Lead the international payroll processing team and oversee end-to-end payroll delivery across EMEA and APAC, ensuring employees are paid accurately, on time, and in compliance with local requirements. - Own day-to-day operations with outsourced payroll and BPO partners, including payroll calendars, inputs, reconciliations, service-level performance, quality standards, issue resolution, and escalations. - Lead the payroll workstream for global expansion and new-country launches, including payroll registrations, in-country vendor setup, implementation, testing, systems integration, and go-live readiness. - Partner with People, Finance, Tax, Legal, Benefits, Equity, and Treasury teams to ensure accurate upstream inputs, funding, accounting, and downstream reporting. - Draft and maintain payroll documentation, process maps, operating procedures, and internal controls to support compliance, audit readiness, and business continuity. - Proactively identify and resolve payroll discrepancies and employee inquiries within SLAs, determine root causes, and implement controls that prevent recurrence. - Use data, automation, and AI-enabled tools to improve controls, reduce manual work, and increase the scalability and effectiveness of international payroll operations. You might thrive in this role if you have: - 6+ years of progressive experience in international payroll operations, preferably in a fast-paced or high-growth environment. - Demonstrated experience leading multi-country payroll delivery across EMEA and APAC, including management of outsourced payroll or BPO providers. - Hands-on experience supporting new-country payroll implementations, vendor onboarding, testing, and systems integrations. - Hands-on experience using AI tools to enhance, automate, and strengthen payroll workflows and controls. - Strong working knowledge of international payroll regulations, tax withholding, social insurance, statutory reporting, and standard payroll practices. - Hands-on experience with Workday HCM and global payroll systems. - Ability to independently manage priorities, take ownership of outcomes, and deliver high-quality work under tight deadlines. - Strong analytical and problem-solving skills with excellent attention to detail. - Clear and concise communication skills, with the ability to partner effectively with internal and external stakeholders. - Bachelor’s degree in Finance, Accounting, HR, or a related field, or equivalent practical experience. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Head of Data Science, Strategic Finance
About the team Strategic Finance Data Science helps OpenAI make consequential financial and operating decisions as the business grows. We connect customer behavior, product economics and business performance to the choices leaders make about goals, customer acquisition and investment. The team works closely with Strategic Finance and partners across Data Science, Product, GTM and Data Engineering. Its work combines forecasting, analytical decision support and tools that make financial planning more effective. About the role We are seeking a data science leader who can turn complex, uncertain business questions into clear recommendations. You will lead an established team, strengthen its technical and leadership capabilities, and help shape where it can have the greatest impact. You will partner with Finance and business leaders on forecasts, customer lifetime value, acquisition economics and resource allocation. This role calls for someone who can challenge assumptions, explain tradeoffs and follow the analysis through to a decision. You should be motivated by the opportunity to build a durable function during a period of rapid growth. The role is based in San Francisco with three in-office days each week. Relocation assistance is available. In this role, you will - Build forecasting approaches that help leaders understand business trajectories, compare scenarios and make choices under uncertainty. - Develop customer lifetime value and acquisition-economics models that inform marketing investment and balance near-term performance with long-term value. - Partner with Strategic Finance on annual goals, budget decisions and resource allocation, including the economics of compute investment. - Translate model outputs into clear operating recommendations, making assumptions, uncertainty and implications understandable to executive stakeholders. - Strengthen the tools, metrics and recurring analyses that allow Finance partners to make decisions effectively and at scale. - Recruit, coach and develop a high-performing team; establish priorities and accountability across ongoing work and urgent business questions. - Work across consumer and business products, applying expertise in one business model while learning the dynamics of the other. You might thrive in this role if you - Have partnered closely with a CFO, Finance leadership or a COO whose remit includes major financial and operating decisions. Your work has informed meaningful business choices, regardless of whether your title included Finance. - Have led data science work in a large technology business or a rapidly scaling company, with experience adapting methods and priorities as the business changes. - Bring deep forecasting judgment and can connect technical choices to business consequences, communicate limitations and respond constructively when a forecast misses. - Have built strong teams, developed talent and attracted excellent colleagues. You can set direction while staying close enough to the work to challenge its quality. - Communicate clearly with technical and business audiences and build trust through sound judgment, evidence and follow-through. - Are excited by OpenAI’s mission and this specific opportunity to improve financial decisions in an evolving environment. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Engineering Technician, Actuators
About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role We are seeking Engineering Technicians to support the assembly, testing, and prototyping of custom electromechanical actuators for advanced robotic systems. You will build and test hardware from engineering drawings and procedures through inspection, troubleshooting, and rework, partnering closely with mechanical, electrical, manufacturing, and test engineers. These roles focus on hands-on work with precision electromechanical hardware, including stator prototypes, motor and actuator assemblies, and mechanical and electrical testing. You will help turn engineering designs into validated hardware while improving build records, work instructions, and repeatable assembly and test practices for future robotic platforms. This role is based in San Francisco, CA, and requires in-person presence 5 days a week. In this role, you will: Each opening focuses on actuator builds, testing, or stator prototyping, with responsibilities aligned to the selected specialty. - Actuator builds: assemble subassemblies and complete actuators from drawings, bills of materials, and work instructions, checking fit, orientation, torque, routing, and workmanship. - Testing: set up and run established mechanical and electrical tests, confirm the setup against the procedure, record measurements, and identify unexpected results. - Stator prototyping: support winding, insulation, termination, bonding, inspection, and rework using the selected build process and documented instructions. - Troubleshoot build and test issues with engineers. Isolate problems through inspection and measurement, escalate deviations, and verify the result after approved rework. - Maintain accurate build and test records, part and revision traceability, inspection results, and rework history. - Use bench observations to improve work instructions, fixtures, tooling, and parts organization as prototypes evolve. - Follow safety, ESD, cleanliness, and quality practices, and communicate material shortages, unclear instructions, and other blockers as priorities change. You might thrive in this role if you: - Have hands-on experience building or testing mechanical, electrical, or electromechanical hardware in a lab, prototype shop, or manufacturing environment. - Can work from drawings, bills of materials, wiring diagrams, and procedures, and recognize when the instructions and hardware do not agree. - Use hand tools, torque tools, and measurement equipment carefully, with consistent workmanship and attention to units and acceptance limits. - Troubleshoot methodically, document observations, and know when to pause work and ask for engineering support. - Take ownership of build quality and records while adapting to changing designs and priorities. Preferred Qualifications Experience relevant to the selected specialty may include: - Building or testing actuators, motors, robotics hardware, servos, or other precision electromechanical systems. - Motor manufacturing, especially stator assembly, winding, insulation, termination, bonding, impregnation, or inspection. - Soldering, crimping, connector assembly, harness routing, adhesives, or fixture-assisted assembly. - Mechanical or electrical test setup, instrument checks, measurement capture, and documenting unexpected results. - Inspection, traceability, nonconformance handling, and structured rework. - Hands-on rework, basic machining, or prototype part modification using shop tools. - Use of calipers, micrometers, multimeters, LCR meters, insulation-resistance testers, or torque tools. - Improving prototype or manufacturing work instructions and build processes. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Dedicated Support Engineer - London
About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role The Support Engineering team works closely with Engineering, Product, Technical Success, Go-to-Market, and other teams to deliver an exceptional experience for our most strategic customers. We combine deep technical troubleshooting with durable customer context, proactive reliability work, and clear ownership during critical moments. We use automation, agents, and our own technology to help build the future of technical support. We’re looking for experienced, deeply curious technical problem-solvers to serve as trusted support partners for our Premium Support customers. You’ll work directly with customers on novel, ambiguous, and high-impact technical issues, using logs, telemetry, reproduction, and systems-level investigation to isolate causes and drive issues toward resolution. Beyond resolving individual issues, you’ll use your deep understanding of OpenAI’s infrastructure and products, together with each customer’s architecture and operating context, to anticipate risk and make their workloads more resilient over time. You’ll proactively monitor integrations, identify emerging failure patterns and architectural breakpoints, and work with customers and internal teams to address them before they become incidents. Success means that as a customer’s workloads mature and scale, the day-to-day effort required to support them decreases through better monitoring, runbooks, automation, and preventative improvements. In this role, you will: - Work directly with Premium Support customers to troubleshoot their most complex technical issues, including API failures, integration challenges, authentication errors, unexpected product behavior, performance degradation, and production incidents. - Provide end-to-end technical ownership by analyzing logs and system behavior, reproducing errors, testing hypotheses, and isolating the likely failure domain. Where possible, you’ll identify the root cause before escalating to Engineering; where that is not possible, you’ll provide a clear hypothesis and the evidence needed to accelerate Engineering’s investigation. - Become a trusted expert on OpenAI’s products and systems, serving as a critical escalation point and a technical backstop for our most strategic customers. - Own the customer-specific response to high-impact incidents. You’ll assess severity and business impact, initiate the appropriate response path, coordinate cross-functional responders, maintain clear ownership, and ensure issues move through mitigation, resolution, and post-incident follow-through. - Communicate clearly and proactively during periods of uncertainty, providing accurate updates to customer technical teams, business stakeholders, executives, and internal partners. - Develop a detailed understanding of each customer’s architecture, integrations, dependencies, critical workloads, and operational constraints. You’ll document this context and make it accessible to Support, Product, and Engineering teams. - Partner with Go-to-Market and Technical Success teams to understand the business importance of customer workloads and ensure that relevant commercial context informs severity, prioritization, and communication without bypassing established support processes. - Represent Support Engineering in relevant customer meetings, including QBRs, and partner closely with account teams to communicate technical health, surface risks and blockers early, coordinate follow-up, and provide customers and internal stakeholders with clear, proactive updates. - Monitor customer integrations and support trends to identify emerging risks, recurring failure patterns, and readiness gaps before they become major escalations. - Prepare for important launches, migrations, traffic increases, and business events by developing account-specific runbooks, validating escalation paths, coordinating support readiness, and providing heightened monitoring where needed. - Lead or contribute to incident reviews and postmortems, identify opportunities to prevent recurrence, and track corrective actions through closure. - Translate recurring customer pain into clear, evidence-backed feedback for Product and Engineering, with a particular focus on improving the reliability and performance of existing products, integrations, and deployments. - Turn what you learn from customer investigations into scalable improvements, including troubleshooting guides, monitoring, internal tooling, support workflows, and AI-powered automation. - Help shape the operating model, technical standards, and tooling for Premium Support as the function grows globally. You might thrive in this role if you: - Have significant experience in Support Engineering, Solutions Engineering, Solutions Architecture, or another role involving hands-on diagnosis of complex production issues. - Have expert-level troubleshooting skills and a strong track record of resolving ambiguous technical problems across APIs, distributed systems, cloud infrastructure, and enterprise integrations. - Are comfortable working with logs, metrics, traces, API requests, authentication flows, and customer-provided code or configurations to understand system behavior and test hypotheses. - Have experience leading or playing a central role in customer-impacting incidents, including severity assessment, technical coordination, stakeholder communication, root-cause analysis, and post-incident follow-through. - Can write code or scripts to reproduce issues, interrogate systems, automate repetitive work, and improve internal tools. Experience with Python, JavaScript, or similar languages is valuable. - Can communicate complex technical issues clearly to engineers, customer technical teams, business stakeholders, and senior leaders—especially when information is incomplete or evolving. - Build strong, high-trust relationships with customers and cross-functional partners while maintaining clear and scalable ownership boundaries. - Look beyond the immediate issue to identify patterns, improve the system, and prevent the same problem from recurring. - Thrive in ambiguity, update quickly as new information emerges, and are willing to learn whatever is needed to get the job done. - Bring a humble, team-first mindset, strong judgment, and a genuine eagerness to help both customers and colleagues succeed. - Are excited to use OpenAI’s products, agents, and emerging AI capabilities to transform how technical support operates at scale. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
APAC Vendor Lead, Ads
About the Team The SMB Ads team helps businesses discover, adopt, and grow with OpenAI’s advertising solutions. As we scale globally, we are building a high-performing sales organization that combines operational excellence, strong customer experiences, and AI-native ways of working. We partner closely with Sales, Revenue Operations, Finance, Product, Enablement, Program Management, and external BPO partners to drive advertiser acquisition, activation, revenue growth, and retention. About the Role We are hiring a BPO Lead to build and scale the outsourced operating model that supports our Ads business in APAC and globally. This is a builder role. You will design the governance, performance systems, capacity plans, quality programs, and accountability mechanisms that enable our BPO partners to deliver exceptional commercial outcomes. You will work across internal teams and external partner leadership to improve seller productivity, advertiser growth, forecasting accuracy, and operational quality. This is a highly cross-functional individual contributor role that sits at the intersection of Ads Sales, SMB, Revenue Operations, Finance, Enablement, Product, Program Management, and external BPO leadership. You will help define how OpenAI operates with external partners and build the systems, processes, and accountability mechanisms that enable the business to scale. In this role, you will: - Build and scale BPO operating models, governance structures, and performance frameworks for Ads - Drive results across revenue, pipeline, advertiser acquisition, activation, retention, seller productivity, and quality - Lead business reviews and executive governance forums with BPO partners and internal stakeholders - Develop scorecards, forecasts, inspection mechanisms, and escalation processes that surface risks early - Improve sales quality through playbooks, QA frameworks, coaching programs, and performance analysis - Partner with Sales, Revenue Operations, Product, Enablement, Finance, and Program teams on new products, markets, and sales motions - Create workforce and capacity plans aligned to business demand and growth forecasts - Determine which customer segments and sales motions should be handled by BPO partners versus internal teams - Use AI, automation, and scalable systems to improve execution, visibility, and seller productivity You might thrive in this role if you have: - 5+ years of experience in vendor operations, commercial operations, outsourced sales, or a scaled revenue organization - Experience in Ads, advertiser growth, performance marketing, or a comparable SMB sales motion - Working knowledge of sales funnels, forecasting, advertiser activation, spend growth, retention, and churn - Experience improving operating processes, scorecards, quality programs, or capacity plans across vendors or markets - Strong analytical, operational, and communication skills, with the ability to turn data into clear actions and work effectively across teams - Interest in using AI and automation to improve execution, visibility, and seller productivity 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Anti-Corruption & Trade Compliance Legal Counsel
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role Summary We are looking for an Anti-Corruption & Trade Compliance Legal Counsel to play a central role in the building, development and operation of Mistral AI's corporate compliance framework, with a particular focus on anti-corruption, economic sanctions and export controls . Reporting to the Lead Anti-Corruption & Trade Compliance, the position offers genuine build-from-scratch ownership of core policies, processes and tools. It combines programme development, day-to-day compliance operations and cross-functional advisory work. The role involves close collaboration with Legal, Finance, Procurement, Sales, Security, and Product and Engineering to translate legal requirements into clear, proportionate and auditable processes. Key responsibilities Anti-corruption/Sapin II - Coordinate Sapin II Action Plan deployment of relevant policies, controls, training and third-party procedure. - Lead the day-to-day operation and continuous improvement of risk-based due diligence from integrity screening through enhanced diligence and periodic review; - Support the implementation and periodic review of the code of conduct, related policies, whistleblowing framework and training programme, - Administer the gifts, hospitality and conflicts-of-interest processes, including reviewing requests and declarations, maintaining the relevant records and registers, and providing practical guidance to business teams. - Work with Finance and Internal Control to define and monitor risk-based anti-corruption accounting controls. - Contribute to the monitoring and periodic assessment of the anti-corruption programme, including programme records, metrics and reporting; monitor relevant regulatory and enforcement developments; and support anti-corruption incidents, internal reviews and investigations. Economic sanctions and export controls - Manage screening for new and existing counterparties as part of third-party due diligence and transaction-review processes. - Support the Lead Anti-Corruption and Trade Compliance in export control classification of AI models, software, technology, compute infrastructure and hardware. - Work with Procurement, Operations, Product and Engineering to embed screening and access-control requirements into onboarding, contracting and deployment processes, and maintain clear, auditable records and internal guidance. - Develop and maintain standard sanctions and export-control contractual positions and clauses, and support their review and negotiation in customer, supplier, partner and reseller agreements. - Monitor relevant regulatory and enforcement developments; coordinate external counsel and advisers; contribute to programme reporting for Legal leadership. Qualifications and skills - Legal Master degree (Master’s in Business Law, Corporate Law, Compliance, or equivalent). Compliance certifications are also an asset. - A minimum of 5 years of relevant experience in a company, law firm, consulting firm or regulatory authority. - Substantive exposure to at least two of the following areas: anti-corruption and Sapin II, economic sanctions, and export controls. - Experience in the technology or AI sector is a plus (understanding of data, semiconductors, or dual-use goods), as well as knowledge and understanding of artificial intelligence. - Analytical and problem solving skills : Candidates should be able to analyze complex topics and have strong problem-solving skills, and be able to dig into internal systems. - Pedagogy: Excellent written and verbal communication; strong ability to communicate legal advice to clients and colleagues, and presenting complex legal concepts in a clear and understandable manner. - International mindset : International experience is a plus. - Adaptability: Given the rapidly evolving nature of AI technologies and compute topics, and the legal landscape surrounding them, candidates should be adaptable and willing to continuously learn and update their skills and knowledge. - Ability to work independently and in a team-oriented, collaborative environment. - Ethical Awareness: Ability to promote an ethical and responsible culture. 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 . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Customer Success - DACH
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role This is a builder's role, where you'll own both the technical depth and commercial outcomes for some of ElevenLabs' most exciting customers across the DACH region (Germany, Austria, Switzerland), sitting at the intersection of product, engineering, and revenue. You'll get ahead of the problem. You'll dig into how customers deploy ElevenLabs across web, mobile, and their systems, spot the problems before they do, inspire new use-cases and own the solution end to end. You'll own the number too: renewals, expansion and cross-sell. Success here means driving real revenue retention and growth for your book of business. What this looks like day to day You'll run onboarding, enablement, and growth across ElevenLabs' full platform, core speech models, creative tools, and Agents. You'll advise customers on production deployment, not just theory, digging into usage and performance data to catch friction early and keep adoption moving. You'll also own commercial outcomes for a defined book of business against clear targets: Gross Revenue Retention, Net Revenue Retention, cross-sell, and net expansion. You'll spot expansion opportunities early, own renewals and upsells end to end, and work closely with Sales, Engineering, and CS leadership to turn technical wins into revenue. Requirements - 5+ years of Customer Success, Account Management or Technical Account Management experience supporting complex B2B SaaS, Developer Tools, or AI/ML products in the DACH region - Proven experience of owning and managing a defined Book of Business - Fluent in German and English - Proven experience working across the DACH market. Knowledge of the landscape and cultural nuances - Familiarity and experience with building and deploying AI agents - Strong builder mindset - you thrive in ambiguity and being a pioneer, finding ways to innovate across a full region or market to drive revenue outcomes - Familiarity and experience with API Integrations, and comfort and knowledge of navigating SDKs - Proven experience working cross functionally with Sales, Engineering, Product, and Marketing teams - Proven experience driving revenue outcomes, including owning a revenue quota and identifying, qualifying, and closing cross-sell opportunities along with renewals - Excellent problem-solving, technical, and analytical skills to address customer needs and concerns - Strong communication and interpersonal skills, with the ability to build and maintain relationships with customers at all levels of an organization - Self-motivated and able to work independently in a remote or distributed team environment Location This role is remote-first, so it can be executed from anywhere in Germany, Austria, or Switzerland. LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Commercial Counsel - US
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the Role We are seeking an experienced Commercial Counsel to join our US commercial team. In this role, you will support complex commercial transactions across North America, including SaaS, licensing, and strategic partnerships, while helping the company navigate diverse legal and regulatory frameworks in the rapidly evolving field of artificial intelligence. You will work closely with global colleagues to provide practical, business-oriented advice that enables growth while managing risk across multiple jurisdictions. Responsibilities - Draft, review, and negotiate commercial agreements, with a primary focus on GTM/Sales transactions in North America, including enterprise customer contracts - Partner with sales, business development, and operations teams to design and implement strategies that support high-growth go-to-market initiatives. - Monitor and interpret evolving legal and regulatory developments, including data protection, technology, and AI-related frameworks, and apply this knowledge to contract drafting and risk assessment. - Develop, maintain, and localize contract templates, playbooks, and policies to reflect regional requirements and industry best practices. - Provide clear, pragmatic, and commercially focused legal advice to cross-functional teams, tailoring advice to enable responsible growth and innovation. - Contribute to scaling the Legal Team’s commercial function, fostering a collaborative, solutions-oriented team culture. Who you are - Curious about the future of AI and emerging technologies, have a strong sense of ownership with enthusiasm for applying your legal expertise to cutting-edge products. - Experienced in navigating fast-paced, high-growth environments, with the ability to manage ambiguity and make informed, timely decisions. - Comfortable working independently while collaborating effectively with cross-functional and global colleagues. - Proactive, business-minded, and committed to delivering practical solutions that support both compliance and commercial success. What you bring - J.D. and active membership in at least one U.S. State Bar (NY or CA preferred) - 6+ years of relevant post-qualification legal experience (in-house experience in technology or SaaS strongly preferred). - Proven track record drafting and negotiating complex commercial and technology agreements. - Strong knowledge of enterprise software licensing, SaaS, data protection, and intellectual property. - Experience advising on privacy, cybersecurity, and cross-border data transfer issues. - Excellent communication, stakeholder management, and problem-solving skills. - Comfort in fast-paced environments with shifting priorities and tight deadlines - Prior experience with heavily regulated industries is a plus Location This role is remote and can be executed in the United States, with a preference for New York or San Francisco, where the company has offices and significant presence. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Strategic Alliances GTM Lead
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. SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the position Strategic alliances across hyperscalers, data platforms, and AI ecosystems are a major growth lever for SpaceXAI. We are seeking a Strategic Alliances GTM Lead to own the sales-facing GTM operating system across AWS, Microsoft Azure, Google Cloud, Snowflake, Databricks, and emerging strategic AI platforms. This is not a single-partner alliance management role. You will work alongside the Global Cloud Alliance Leaders, Enterprise Sales, GTM Technical, Product, and Partner Marketing to turn alliance strategy, integrations, joint solutions, and partner relationships into measurable commercial execution. You will own how we co-sell, enable sellers, map accounts, create new routes to market, forecast pipeline, activate joint solutions, and scale successful plays across the partner ecosystem. You will work directly with Enterprise Sales to determine where partners can help sellers enter accounts faster, navigate organizations more effectively, reach the right buyers, expand opportunities, and accelerate revenue. The Global Cloud Alliance Leaders own the partner: strategy, executive relationships, Product alignment, integrations, joint business planning, and partner investment. You activate that portfolio across the field. This is scoped as an IC at hire, with a path to team lead as the Strategic Tech Alliances org scales. We believe collaboration thrives in person, so while this role can be remote, we expect periodic travel to our offices — cozy spaces in North Beach, San Francisco and Manhattan, New York, complete with well-stocked libraries — along with the regular travel this role typically involves. Responsibilities - Develop and execute the joint GTM strategy across AWS, Microsoft Azure, Google Cloud, Snowflake, Databricks, and emerging strategic AI platform partners - Serve as the primary GTM counterpart to the Global Cloud Alliance Leaders, translating partner strategy, integrations, joint solutions, programs, and priorities into executable field motions - Own the sales-facing GTM operating system across joint business plans, new routes to market, co-sell execution, seller enablement, account mapping, pipeline discipline, forecasting, and QBRs - Work directly with Enterprise Sales to attach the right partner motion to priority accounts, active opportunities, and territory plans - Build partner-sourced and partner-influenced pipeline through partner sellers, specialists, technical teams, executive relationships, and ecosystem signals - Build account-mapping motions that identify customer overlap, existing workloads, cloud adoption, AI and data environments, partner relationships, and whitespace - Identify and unlock new routes to market through co-sell, Marketplace, model and AI platforms, joint solutions, cloud commitments, and ecosystem partnerships - Translate new integrations and joint solutions into customer use cases, target accounts, seller positioning, enablement programs, and opportunity-generation plays - Design and execute segment-, industry-, workload-, and solution-specific sales plays for SpaceXAI and partner field teams - Partner with Global Cloud Alliance Leaders and Partner Marketing on campaigns, executive programs, events, and account-based initiatives tied to GTM priorities and pipeline - Own pipeline forecasting and track progress against shared commercial and revenue objectives - Participate in forecast calls, pipeline reviews, and executive QBRs as the accountable GTM owner for strategic alliances - Identify successful partner motions and systematically scale them across sellers, accounts, industries, workloads, and regions Requirements - 8+ years of experience in enterprise sales, strategic alliances, business development, cloud partnerships, data and AI, or partner go-to-market - Demonstrated experience building and scaling co-sell or joint GTM motions with major cloud, data, or technology platform partners - Proven experience generating enterprise pipeline through partners and converting ecosystem relationships into qualified opportunities and revenue - Experience identifying new revenue streams and routes to market through co-build, co-sell, Marketplace, and joint GTM motions - Experience working directly with Enterprise Sales to map accounts, activate partners, source opportunities, and support active customer pursuits - Experience working across a portfolio of strategic partners rather than exclusively managing a single cloud or platform alliance - Experience developing and executing joint business plans with external partners - Experience building pipeline forecasts and operating against shared pipeline and revenue targets - Demonstrated ability to translate technical product capabilities, integrations, and partner strategy into clear business value and executable field motions - Ability to travel up to 50% of the time - Bachelor’s degree or equivalent relevant experience Nice-to-haves - Previous experience working directly within or alongside AWS, Microsoft Azure, Google Cloud, Snowflake, Databricks, frontier AI labs, or AI platform partner organizations - Track record of building partner-sourced and partner-influenced pipeline and scaling successful co-sell motions across enterprise sales organizations - Experience working with Global Alliance Leaders to translate alliance strategy and product integrations into field execution - Experience building enterprise GTM strategies and multi-partner motions from the ground up - Familiarity with cloud Marketplaces, model platforms, co-sell programs, cloud commitments, partner investments, and enterprise procurement - Background in AI/ML, foundation models, agents, developer tools, data platforms, or enterprise software - Builder mindset with strong commercial instincts, customer focus, and a willingness to remain hands-on while developing motions that scale
Public Sector Lead, Defence & Security
About Scale Scale builds AI systems for decisions that matter. We started out providing the data and evaluation behind many of the world's leading models, and we still work with the major frontier labs on research and post-training. Today we also build full applications: we take an organisation's own data and expertise, forward deploy alongside their teams, and build the systems they come to rely on, powered by the Scale GenAI Platform. The Role Defence is under pressure to adopt AI at pace. The 2025 Strategic Defence Review and the Defence AI Strategy push for AI to move from experiment to operational capability, Defence Digital and UK Strategic Command are driving digital and data programmes across the department, and the enabling organisations are being asked to field reliable systems, not pilots. Scale wants to play a foundational role in building the dependable AI applications that shift depends on. We're looking for someone to lead that work across UK defence and the national security community. You'd own our commercial relationships across the Ministry of Defence and its enabling organisations - Defence Digital, UK Strategic Command, DE&S, and Dstl - and the broader defence and security customer base. This is a critical role reporting directly to the new Public Sector leader. You'd carry a number, win deals yourself, and build a small team behind you as the work grows. It suits someone who has sold into defence before and knows how it actually makes decisions, not just how the org charts look. What you'll do - Own our commercial plan and pipeline for UK defence and security - Find, shape, and close deals yourself, from the first conversation through to contract and into delivery - Use the relationships you already have across the MOD, Defence Digital, UK Strategic Command, DE&S, Dstl, and the security and intelligence community - Work the defence routes to market, and know which are worth the effort and which aren't (the Defence Sourcing Portal, DASA, JOSCAR registration, single-source arrangements, and the main CCS frameworks) - Be a credible counterpart to senior military and civil service leaders, and turn what they need into work we can actually deliver - Navigate the security clearance, accreditation, and information-handling requirements that come with defence work - Stay close to our product and delivery teams so what we sell is what we build - Hire and lead a small team over time, and help shape the wider UK public sector plan as a team with the Central Government Lead and Public Sector leader. What we're looking for - You've sold and delivered technology or transformation work into UK defence or national security, either from a vendor or SI or from inside the MOD or the Armed Forces - You know at least one part of defence well (MOD, UK Strategic Command, DE&S, Dstl, or a single Service) and how it buys - You understand defence and public sector procurement: frameworks, tenders, single-source rules, and buying that runs through a lot of stakeholders - You've opened doors, run complex pursuits, and owned the result - You have relationships with senior people in defence - You hold, or are eligible to obtain, UK security clearance (SC as a minimum; DV desirable) - You do your best work when things are ambiguous and moving quickly People who tend to fit this have spent years leading UK defence work at companies like Palantir, Anduril, BAE Systems, QinetiQ, Leidos or Babcock, at consultancies and systems integrators like Accenture, Deloitte, EY or PA Consulting, or in senior commercial or programme roles inside the MOD, DE&S, or the Armed Forces. Nice to have - Experience with AI or data-heavy platforms - Regulated, mission-critical, or classified government programmes - You've built or run a small commercial team before Why join You'd be building this market, not maintaining it. There's no playbook to inherit, which is rather the point. The deals you win, and the way you win them, will shape how Scale works with UK defence for years. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Software Engineer, OpenAI Presence
About the Team OpenAI Presence, part of Enterprise Engineering, builds a platform for reliable AI agents that carry out high-volume business workflows. We focus on specific use cases such as customer support, sales, and insurance claims, helping organizations put agents to work in production. The Presence platform supports the agent development lifecycle, including evaluation, deployment, and improvement through real interactions. It connects agents to company systems and supports voice and chat experiences, with policies, guardrails, and human handoffs to help businesses stay in control. Read the launch announcement . About the Role We’re looking for an engineer to help shape the foundations of Presence and build the systems that make AI agents dependable in everyday business operations. You’ll help set the platform’s technical direction while staying close to the code, taking architecture from early decisions through to systems that perform reliably at scale. You’ll bring deep backend expertise and the product judgment to connect what we build with how businesses use it. The work centers on the services that power Presence and extends across the stack—giving you scope to shape both the underlying systems and the experiences they enable. In this role, you will: - Provide hands-on technical leadership, guiding architectural decisions and implementation across the Presence platform. - Design and build backend systems for reliable, high-volume agent workflows in support, sales, and other enterprise use cases. - Develop platform capabilities that support agent development and learning from real-world use. - Identify and address reliability bottlenecks as agent workflows become more complex and usage grows. - Work across backend infrastructure and product experiences as needed, collaborating with other engineers to turn evolving requirements into working software. Your background might look something like: - 9+ years of professional engineering experience, excluding internships, in backend, platform, or product engineering roles. - A track record of hands-on technical leadership, including setting architecture, breaking complex problems into clear implementation plans, and guiding engineers through delivery. - Deep backend engineering and systems design skills, with proficiency in at least one backend programming language and experience designing services, data models, and interfaces that remain reliable as usage grows. - End-to-end ownership of complex systems or product capabilities, from ambiguous requirements and technical design through implementation, launch, and production iteration. - Strong production engineering judgment: you can diagnose difficult failures, reason about performance and scalability, and improve reliability through testing, observability, and operational discipline. - Strong product judgment that connects technical decisions to user needs, with the ability to balance delivery speed, reliability, security, and long-term maintainability. - The ability to move between backend infrastructure and product experiences, contribute across the stack when needed, and quickly learn unfamiliar systems, tools, and domains. - Clear technical communication and effective collaboration across disciplines, including explaining trade-offs, creating alignment, and driving complex work forward while remaining hands-on. - Experience with AI agents, enterprise workflows, integrations, or agent development and evaluation is a plus, but not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . 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 . 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 . OpenAI Global Applicant Privacy Policy 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 Based Marketing Lead
At Scale, we develop reliable AI systems for the world’s most important decisions. Scale’s growth marketing team is the engine behind the go-to-market motion, driving pipeline and revenue through an integrated mix of demand generation, ABM, and revenue operations. As our Account Based Marketing Lead, you will build and execute our 1:1 and industry-vertical ABM playbooks in close partnership with the Enterprise GTM team across a focused set of target accounts. Reporting to the Head of Growth Marketing, you will take ownership of vertical-specific campaigns across Healthcare, Financial & Professional Services, and Consumer and scale the 1:1 motion for our highest priority accounts. You will: - Build and execute 1:1 ABM programs for a focused set of strategic enterprise accounts (P0 & P1), owning strategy, channel mix, sequencing, and execution end-to-end. - Develop vertical-specific campaign strategies tailored to the buying behaviors, pain points, and use cases of target accounts in targeted industries. - Partner with enterprise sellers and the Head of Growth Marketing on joint account planning, aligning on target stakeholders, engagement goals, content needs, and campaign timing. - Orchestrate multichannel campaigns across digital advertising, direct mail, web and in-person experiences to engage the full buying committee. - Track and report on account engagement signals, buying committee penetration, and pipeline influence, turning data into clear and actionable insights for sales and leadership. - Define ABM KPIs and build reporting frameworks that demonstrate campaign impact on pipeline creation, acceleration, and revenue. - Collaborate cross-functionally with content, product marketing, and field teams to develop account-specific messaging and personalized executive experiences, then systematize what works into a repeatable ABM playbook. - Manage a bench of creative production and fulfillment partners, balancing ambitious ideas against turnaround time, cost and delivery logistics. Ideally you'd have: - 5+ years of B2B marketing experience with at least 3 years focused on account-based marketing, and a proven track record driving measurable pipeline at enterprise accounts. - Experience working directly with enterprise sales teams on joint account planning, stakeholder mapping, and coordinated campaign execution across a defined account list. - Hands-on experience with ABM platforms (Clay, Folloze, Reachdesk), marketing automation (Marketo or HubSpot), and Salesforce for pipeline tracking and attribution. - Strong analytical skills with a bias for action, and the ability to present campaign performance and strategy clearly to GTM leadership and senior stakeholders. Nice to haves: - Experience marketing to one or more of the following verticals: Healthcare, Financial Services, Professional Services, or Consumer Goods, with familiarity in the distinct buying dynamics and messaging that resonate in each. - A portfolio of campaigns that made executives stop and respond, and the ability to explain the insight behind each one and the business result it drove. - Background in executive engagement programs such as personalized landing, executive event support, direct mail, and familiarity with intent data and account-targeted digital advertising strategies. - Experience at a high-growth B2B SaaS, enterprise technology, or AI/ML company. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $158,400 - $198,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Cyber Enablement Lead, Gov
About the team The Adoption, Innovation, and Transformation (AIT) team within OpenAI for Government helps government organizations turn OpenAI products into durable capabilities and measurable mission impact. We work alongside government leaders and public servants to move from exploration to confident, responsible, organization-wide use of AI, including our Cyber and Daybreak capabilities. Our work combines strategic communications, hands-on enablement, adoption strategy, deployment support, and community building, tailored to government missions and operating environments. About the role We are seeking a Cyber Enablement Lead to help government cyber professionals turn Daybreak’s capabilities into stronger defenses and measurable mission outcomes. This role combines technical credibility, hands-on teaching, strategic communication, and cross-functional leadership. You will own Daybreak’s government product enablement strategy and personally design and deliver the training that brings it to life. Your work will span audience research, curriculum design, recorded demonstrations and courses, hands-on workshops, executive briefings, and cyber councils. You will work directly with U.S. and international government cyber leaders to translate frontier AI capabilities into practical workflows that address operational challenges. You will also partner with the cyber product team, bringing customer feedback, deployment challenges, and adversarial context into product development. Your work will help shape best practices for adopting and deploying our cyber tools, strengthen government cyber defenses, and inform the direction of these capabilities. You will engage across the government cybersecurity ecosystem, including Authorizing Officials (AOs), CISOs, cyber operators, developers, and senior executives. Practitioners need practical proficiency; executives need a strategic understanding of our cyber products, their value, and their implications for mission and risk. Success means demonstrated capability, sustained adoption, and better cyber outcomes. This role is based in Washington, D.C. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. Travel and regular work from government customer sites are required. In this role, you will - Set the vision and own the execution of Daybreak’s government enablement strategy, from audience research and learning objectives to curriculum, delivery, and measurable mission impact. - Serve as a trusted cyber ambassador for OpenAI, leading substantive conversations about our tools and capabilities with U.S. and international government leaders, customers, and the broader cyber community. - Help government leaders understand and respond to AI’s changing cyber landscape through executive briefings, public speaking, and thought leadership grounded in operational experience. - Personally lead technical training, live demonstrations, hands-on workshops, and executive conversations that help AOs, CISOs, cyber operators, developers, and senior leaders apply Daybreak to their work. - Bring frontline experience into product development. Serve as a key point of contact for Daybreak Blue and Red, translating user feedback, deployment friction, and unmet mission needs into actionable product recommendations. - Create practical learning materials, including scripts, recorded demonstrations, interactive labs, digital courses, videos, facilitator guides, and playbooks. - Convene and lead our cyber councils, bringing leaders and practitioners into candid conversations that surface hard questions, share field lessons, and build a community of practice. - Deliver tailored engagements for specialist teams and repeatable learning programs that equip thousands of practitioners to use Daybreak effectively. - Translate frontier capabilities into practical government workflows across the cybersecurity lifecycle, connecting Daybreak’s applications and deployment requirements to challenges such as critical infrastructure security and defense of critical networks. - Develop practical guidance for human-machine teaming in cyber, including where AI adds value, where human judgment is essential, and how teams validate results and act responsibly. - Coordinate across product, security, deployment, and customer teams to address adoption barriers and keep enablement technically accurate, operationally relevant, and current as capabilities and requirements evolve. - Assess demonstrated proficiency, track sustained adoption, and use evidence of stronger cyber performance and mission outcomes to improve programs. You might thrive in this role if you - Hold an active security clearance, preferably TS/SCI - Bring deep cybersecurity expertise across threat modeling, vulnerability discovery and validation, prioritization, remediation, detection, incident response, and recovery, with the judgment to connect these disciplines to government missions. - Have deep fluency in Daybreak’s capabilities, applications, and deployment requirements, and can translate that knowledge into credible advice and practical government cyber training. - Have personally built and delivered cybersecurity enablement that changed how people work, from focused engagements with specialist teams to programs reaching thousands of practitioners. - Are a compelling speaker, writer, educator, and hands-on creator. You can set the strategy, write the script, record the demonstration, build the lab, and lead the workshop, roundtable, or private executive session. - Can earn trust in executive briefings and technical deep dives, adapting your language, examples, and level of detail while giving audiences a clear reason and a practical way to act. - Know how to read a leader and a room. You combine presence and emotional intelligence with humility, listen carefully, welcome hard questions, and make people comfortable learning something new. - Understand government cyber missions, security requirements, and operational constraints, ideally across DOW, federal civilian agencies, and state and local government, and can build approaches that work within those realities. - Turn ambitious goals into disciplined execution, leading cross-functional work, incorporating feedback, and taking ownership of demonstrated proficiency, sustained product use, and stronger defenses. - Have built and led teams of cyber enablement professionals, setting a high bar for technical credibility, teaching quality, and execution while helping others grow. - Bring a practical understanding of U.S. cybersecurity laws, regulations, and policies, and can explain their implications for government adoption and deployment. - Have served in a government cyber role and bring a deep commitment to the people behind the mission, including public servants, warfighters, and the intelligence community. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Data Center Operations Technician
SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. About SambaNova Systems SambaNova Systems is on a mission to redefine what’s possible with AI. We build purpose-built AI hardware and software that enables enterprises to run the world’s most powerful AI models — at scale, in production, and with unmatched efficiency. Every role at SambaNova contributes to that mission, and this one is no exception. The Role SambaNova Systems is seeking an entry-level Data Center Operations Technician to apply their technical skills in a fast-paced and complex environment. In this role, you should come with some knowledge of computer hardware and the desire to participate in projects at a large-scale data center. This is a unique opportunity to shape the future of AI and the value it can unlock across every aspect of an organization’s business and operations. This job opens pathways for high growth but requires a learning mindset. You will be here to support the core of our physical computational and cloud resources. What You'll Do - Unpack servers and parts - Rack and stack equipment - Install and/or replace system components - Read elevation plans and implement assembly and installations accordingly and exactly - Pay attention to neatness and organization in all aspects of the job (racks, cables, etc.) - Install and maintain various networking technologies and fabrics - Troubleshoot and work with subject matter experts to resolve problems - Package servers for shipment - Daily housekeeping of packaging materials - Coordinate with logistics team for shipping and receiving assembled servers - Complete assigned tickets to uphold tight SLA’s and respond to requests in a timely manner - Assist with projects (new capacity as well as retrofits) and repairs throughout the data center - Demonstrate personal leadership, identifying and helping to create documentation for the data center knowledge base - Assist with process improvements and best practices in data center operations and expansions - Participate in on-call rotation as needed in Santa Clara, CA or additional off-site locations - Other data center operations technician role assignments as required What We're Looking For Required - 0-1+ years experience - High School Diploma; Associates Degree preferred - Able to perform all essential job functions, including walking, standing, bending, stooping, climbing, lifting and manual dexterity, with or without reasonable accommodation - Able to lift equipment and items up to 50 pounds - Able to operate lifting equipment for heavier items following training on the equipment - Able to work days/nights/weekends/holidays, if needed and/or required - This role will be required to be on-site at our data center locations in and around Santa Clara, CA. This role may require travel to additional data center site expansions. - Strong communication and organizational skills as well as a high attention to detail. - Ability to work in a fast-paced environment where adaptability and flexibility will be key to your success. - Ability to work independently and also within groups Nice to Have - Have working knowledge and experience in areas like Networking, Programming/Scripting, Hardware and OS repair. - Ability to understand and perform initial analysis to debug hardware, and Linux OS related issues Base Salary Range: Base Pay Range $28 - $35 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Security Audit & Controls, Security GRC
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the team Anthropic's Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security commitments. We translate regulatory, customer, and voluntary obligations into controls that teams act on, and give leadership a bird's-eye view of how well we're meeting them. We're building toward a fundamentally different kind of GRC: one that directs Claude, with the right humans in the loop, to challenge and evidence the performance of controls continuously rather than through periodic audits. Within Security GRC, Compliance & Audit Programs runs the integrated audit across our frameworks and maintains the Common Control Framework, the single set of controls that the whole program is built on. This role sits in Audit & Assurance and owns the framework and the assurance view across every control domain. About the role As part of the Security Audit & Controls team, you will own the CCF across every control domain, from access and change management to logging, encryption, and people controls: which controls we have, what each one says, how each maps to the frameworks and commitments we hold, and whether each one is actually working. You'll work with control owners and GRC Partners to draft and validate control descriptions and activities that describe reality rather than policy intent, build the monitoring that shows operating effectiveness continuously instead of once a year, and drive what monitoring finds to closure with control owners. Building with Claude is a normal part of the job: drafting and mapping controls, testing evidence, and monitoring control health, with you deciding where human judgment stays in the loop. This is an individual contributor role for someone who works well independently, writes clearly, and gets satisfaction from a control set that is accurate, tested, and trusted by auditors and engineers alike. Key responsibilities - Own the Common Control Framework: the canonical control set, its mappings to SOC 2, ISO 27001/42001, HIPAA, FedRAMP, and customer commitments, and the change process for adding, retiring, or rewording controls - Draft and validate control descriptions and control activities with control owners, so each control states who does what, how often, in which system, and what evidence proves it - Design and run continuous monitoring of control efficacy: define the metrics and automated tests that show operating effectiveness, tune out false positives, surface failures to owners before an auditor does, and build the controls maturity model that shows where each control domain stands and what it takes to move up a level - Verify remediation and carry it into steady state: GRC Partners lead remediation in their domains and control owners implement the fixes. This role advises on control design and implementation, confirms fixes against what the auditor actually asked for, and keeps one source of truth for control and finding status. Once a fix holds, it works with the partner to standardize the evidence pull and, where appropriate, automate it or build continuous - Map new frameworks and commitments onto the CCF as we commit to them, and support gap assessments when a new framework, certification, product, or entity comes into scope, using the CCF as the baseline and writing the requirements for each delta - Support the integrated audit and customer audits: readiness checks, walkthrough preparation, evidence request lists, and the readout of external findings back to GRC - Evaluate evidence reliability, including the completeness and accuracy of system-generated reports and AI-generated evidence, and set the standard for what audit-ready evidence looks like here - Build with Claude: automate control mapping, evidence testing, and monitoring, and verify machine-drafted control language before it becomes the record Minimum qualifications - Several years in IT audit, security compliance, or controls assurance, including hands-on ownership of a control framework or control library across more than one framework (for example SOC 2, ISO 27001, FedRAMP, HIPAA) - Working command of audit mechanics: scoping, walkthroughs, sampling, design versus operating effectiveness, deficiency evaluation, and evidence reliability - Experience writing control descriptions, control activities, and test procedures that other teams and external auditors relied on - Experience with continuous controls monitoring or automated evidence collection, whether you built it, ran it, or audited it - Enough technical fluency to read a runbook, a configuration, or a pipeline definition and judge whether it enforces what the written control claims - Clear writing, because your control language and status reports are what auditors, engineers, and leadership work from - Ability to get control owners and partner teams to prioritize and close work without having authority over them Preferred qualifications - Have designed or rebuilt a common controls framework and led the remapping of existing frameworks onto it - Have stood up continuous controls monitoring or automated evidence programs and can speak to coverage, false-positive rates, and what changed as a result - Have applied LLMs to assurance work, such as control drafting, framework mapping, evidence testing, or monitoring - Have defined or assessed controls for AI systems or agents operating in production, or for home-built internal systems - Have provided requirements for a homegrown GRC platform and worked with the engineers who build it You don't need to - Have done everything on this list. The scarce combination this role exists for is framework ownership plus the judgment to tell whether a control actually works - Write production code. The bar is fluency sufficient to read, query, and challenge - Hold every certification. CISA, CISSP, or similar are welcome and not required - Have prior AI-industry experience Logistics - Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. - 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. Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 - $345,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Applied AI Architects, Partner
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Key Responsibilities - Strategic Technical Partnership : Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. - Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment - Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. - Partner Ecosystem & Events : Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities. - Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. Preferred qualifications - 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager - Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery - Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more - Strong presentation & technical communication skills with the ability to translate 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 - 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 - Fluent in Japanese 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.
US Congressional Lead
About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe that achieving our goal requires effective engagement with public policy stakeholders and the broader community impacted by AI. Accordingly, our Global Affairs team builds authentic, collaborative relationships with public officials and the broader AI policymaking community to inform and support our shared work in these domains. We ensure that insights from policymakers inform our work and - in collaboration with our colleagues and external stakeholders - seek to further regulation, industry standards, and safe and beneficial development of AI tools. About the Role As a US Congressional Lead on the Global Affairs team, you will help develop strategies and advance OpenAI’s engagement with the U.S. Congress across a range of legislative and policy priorities. You will develop and manage relationships with House and Senate lawmakers and staff, with particular attention to committees shaping technology and emerging policy issues. You will support OpenAI’s U.S. Global Affairs team in meetings, briefings, hearings, and other engagements, and collaborate with civil society and industry partners in alignment with OpenAI’s mission. OpenAI releases industry-leading research and tools. You will face new challenges as the impact of cutting edge generative AI technologies continues to be explored and as the needs of the organization evolve. Day-to-day work may encompass tracking emerging congressional policy issues, coordinating complex cross-functional engagement with legal, policy, and communications teams, developing briefing materials, preparing our leaders for congressional hearings and other government engagements, and representing OpenAI in private and public forums. We are looking for a self-directed and creative individual with substantial Capitol Hill experience, strong congressional relationships, experience managing private sector and civil society relationships, and an understanding of AI-related legislative and regulatory issues and processes. This role is based in Washington, DC and may require frequent travel to participate in meetings and events with key stakeholders. You might thrive in this role if you: - Are well versed in the issues around emerging AI technologies, particularly as they relate to congressional policymaking. - Are an enthusiastic and effective coalition builder who thrives as a member of a high performing, peer-led global team. - Are highly organized, and are used to working as an accountable individual contributor as well as a team player. - Are passionate about the promise of technology and the future of artificial intelligence but thoughtful about its potential risks. We're looking for a blend of: - Demonstrated experience (8+ years) and credibility working with the U.S. federal government, particularly the legislative branch. - Demonstrated knowledge and understanding of the U.S. government, its institutions and legislative processes, and the key policy issues and debates related to AI. - The ideal candidate will have substantial experience working with Congress, with a strong preference for experience working with the House or Senate Judiciary Committees, the House Oversight and Government Reform Committee, or other relevant congressional committees. The candidate should bring strong bipartisan relationships, sound political judgment, and demonstrated experience navigating complex legislative and policy issues. - Track record of effectively working with cross-functional teams, especially communications, policy and legal teams, and aligning a diverse range of internal and external partners - Sound judgment and outstanding personal integrity - Ability to execute in fast and flexible environments through rapid cycles of analysis, decision, and action - Excellent communication, presentation, and interpersonal skills, with the ability to convey complex technical and policy concepts to diverse audiences - Strong strategic thinking, problem-solving, and project management skills - Genuine care and knowledge about the impact of technology on society 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Technical Sourcer, Research SWE
About the Team OpenAI’s mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. Achieving this requires bringing the world’s most exceptional talent under one roof to push the boundaries of what’s possible. Our Research Recruiting team plays a critical role in this effort. We are an embedded part of the research organization—working side by side with our research staff to deeply understand evolving priorities, build trust, and strategically shape the future of OpenAI’s talent. About the Role You’ll focus on identifying and engaging world‑class software and machine learning engineers who are advancing the frontier of machine learning and artificial intelligence. In this role, you will drive top‑of‑funnel sourcing efforts, build thoughtful outreach strategies, and cultivate long‑term relationships with highly specialized technical talent to support our Research teams’ hiring ambitions. You’ll work across a range of deeply technical roles, mapping emerging fields, identifying leading contributors, and proactively engaging experts in their respective domains. You’ll partner closely with recruiters, hiring managers, and research leaders to surface exceptional candidates, generate strong pipelines for niche searches, and continuously refine sourcing strategies to help our research teams grow and scale. Your Responsibilities: - Build highly targeted searches that deliver candidate profiles with precision. - Craft thoughtful approaches to candidate outreach that will engage even the most passive talent and cultivate relationships with high priority targets over the long-term. - Develop and utilize creative strategies to discover non-traditional, highly specialized, and/or up and coming talent. - Partner closely with hiring managers across OpenAI to develop customized sourcing strategies and advise them on the market. - Take a highly organized and data driven approach to candidate tracking and funnel metrics. - Represent OpenAI and engage with community members at conferences and events. We’re Seeking: - Significant experience sourcing specialized engineering/technical talent across a range of highly technical domains. - Deep interest in AI and the engineering challenges behind frontier research, with a desire to deepen your understanding of complex technical domains and communities. - Demonstrable success in sourcing and hiring top technical talent at a premier tech company, high-growth startup, VC, and/or executive search firm. - Ability to drive multiple complex searches in parallel while maintaining a high quality bar and exceptional stakeholder + candidate experience. - A passion for the research and mapping components of sourcing; it’s a long game. Workplace & Location This role can be based in our San Francisco, New York, or Seattle offices or remotely in the US. When applying, let us know which location(s) work for you. If you’re joining us in person, we offer relocation support and follow a hybrid schedule: three days a week in the office, with the option to work from home on Thursdays and Fridays. Our offices are set up for focus and connection—with height-adjustable desks, conference rooms, phone booths, well-stocked kitchens full of snacks and drinks, three in-house prepared meals daily, outdoor space for working and socializing, wellness rooms, private bike storage, and more. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
ITAV Event Technical Producer
About the Team OpenAI’s IT organization supports the mission of deploying artificial general intelligence (AGI) for the benefit of all. Our team is committed to providing seamless technological support and solutions to ensure that all OpenAI employees are well-equipped and connected. This enables them to contribute effectively towards our AI research, corporate operations and product initiatives. About the Role As an ITAV Event Technical Producer at OpenAI, you will lead technical production for complex internal and external events across multiple sites, from early planning through rehearsal and live delivery. You will partner with internal stakeholders and technical teams to translate event requirements into clear production plans. You will coordinate internal and external crews, direct large, distributed shows and coordinate cross-site handoffs, and use your technical expertise to resolve production challenges and make informed tradeoffs. You will also build reusable production practices and AI workflows, improve how teams deliver events, and mentor peers and junior crew members. This is a full-time, onsite role requiring five days per week in San Francisco. Travel to other OpenAI locations is required as needed for assigned events. In this role, you will: - Lead technical production for complex internal, hybrid, and distributed events from early planning and scoping through rehearsal, live delivery, and debrief. - Align Internal Comms, Marketing, Brand Experience, and Workplace on audience goals, requirements, scope, dependencies, and decision owners. Turn ambiguous or competing needs into an agreed production plan and readiness criteria. - Configure and operate live audio, video switching, cameras, playback, conferencing, streaming, and recording systems for the agreed production. - Integrate the run of show across sites and lead multiple crews globally for all-company events. Align technical cues, rehearsals, content handoffs, schedules, and contingencies with partner teams to deliver one cohesive event. - Lead rehearsals and validate the complete audience experience, including remote contribution, playback, recording, and tested backup paths. - Independently prioritize technical production tradeoffs and lead risk reviews and incident response. Resolve ambiguity within your scope, and seek guidance for complex situations or decisions owned by event, staffing, budget, or engineering partners. - Build reusable production plans, show files, runbooks, and change-control practices. Coach peers and junior crew members to use them independently and verify improvements in readiness, troubleshooting, and execution. - Set a prioritized roadmap for production improvements using audience feedback, debriefs, and recurring failures. Lead workflow changes across teams and define permanent-system improvements with AV Engineering. - Identify repeatable production work and build AI and agentic workflows with partner teams. Validate results, establish operating and maintenance ownership, support adoption, and measure preparation effort or reliability improvements. You might thrive in this role if you have: - Experience leading complex live or hybrid productions across multiple teams, from ambiguous requirements through rehearsal, delivery, and debrief. - Advanced expertise in multiple live-production domains, such as audio, video, conferencing, streaming, or AV-over-IP, and the ability to diagnose complex interactions across the complete signal path. - Experience configuring and operating professional production systems and creating reusable show files or control workflows. - Practical AV-over-IP and networking knowledge sufficient to troubleshoot live media, timing, and connectivity with engineering partners. - Experience independently resolving ambiguous production problems, setting detailed plans, and prioritizing tradeoffs while seeking guidance when complexity or decision authority requires it. - Demonstrated ownership of rehearsals, technical readiness, failover testing, and calm incident response for high-priority productions. - Ability to lead crews and influence partner teams without reporting authority, with clear boundaries for content, brand, budget, staffing, and engineering decisions. - Experience working with communications, marketing, brand or creative experience, Workplace, and technical partners on complex events, including sensitive planning and late changes. - Experience building reusable production frameworks and validated AI workflows, guiding team adoption, and mentoring peers or junior staff with measurable improvements in their capability. - Experience with multi-space or multi-location productions and sensitive executive events is a plus. - Experience with systems such as Q-SYS, Dante, Ross, Vizrt, or comparable production platforms is a plus. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Integrated Marketing Manager, Hardware
About the Team OpenAI didn’t begin as a traditional company. It began as an idea: that artificial intelligence could be developed in a way that benefits everyone. As a creative team, our role is to help make sure the work behind that idea is understood, as it leaves the lab and meets the world. This company works at the frontier of intelligence. Like any frontier, it’s unfinished, constantly shifting, and still being explored. Our job is to stay close to that uncertainty and help shape how this story gets told, in a way that feels grounded and human. We do this through campaigns, launches, films, brand systems, and work that doesn’t fit neatly into any of those categories yet. This team is for people who want to help shape something from the beginning. About the Role We’re looking for an Integrated Marketing Manager to help translate our products, their value propositions, and our broader brand strategy into audience-specific, globally relevant marketing programs. You’ll shape how people discover, understand, adopt, and engage with our products across markets and stages of the customer journey. You’ll connect product narratives, audience insight, cultural context, and business goals into strategies that make advanced technology feel clear, useful, and human. This is a high-impact individual contributor role for a marketer who understands how product marketing, brand strategy, audience research, and international growth work together. You’ll develop segmentation frameworks, lifecycle and go-to-market programs, regional insights, and partnership opportunities; then work across product marketing, growth, creative, partnerships, analytics, and regional teams to bring them to life. Your work will connect launches, product education, customer engagement, and ongoing storytelling into a coherent journey from awareness to advocacy. To us, creativity is a team sport. Ideas get better when you talk them through and build on each other’s thinking. We value curiosity over certainty, kindness over ego, and the ability to balance craft with decisiveness. In this role, you will: - Translate complex product capabilities, use cases, and value propositions into clear, differentiated messaging that is relevant to distinct audiences without losing accuracy, nuance, or the product’s ambition. - Develop audience segmentation frameworks based on customer needs, behaviors, use cases, regions, industries, and stages of the customer journey. - Create audience-specific messaging and campaign strategies for groups such as creators, builders, professionals, students, consumers, and emerging-market users. - Lead cross-functional marketing programs end to end for defined audiences or initiatives, with minimal oversight, setting priorities across awareness, acquisition, activation, engagement, retention, and advocacy. - Lead research efforts including customer interviews, surveys, social listening, competitive analysis, market trends, and behavioral data. - Turn research and performance signals into actionable audience personas, messaging frameworks, briefs, campaign recommendations, and market insights. - Identify cultural, regional, and language-specific opportunities across global markets, and help adapt global campaigns for local audiences while maintaining a consistent brand voice. - Develop go-to-market plans for new campaigns, product features, audience programs, partnerships, and market expansions. - Identify partnership opportunities with creators, developers, communities, platforms, industry groups, and other audience ecosystems. - Align partners across product marketing, growth, CRM, creative, analytics, partnerships, and regional marketing; resolve tradeoffs and shape creative direction to deliver coordinated customer journeys. - Measure campaign and audience performance, using data to improve messaging, segmentation, customer journeys, regional strategies, and future marketing investments. - Build reusable campaign processes and playbooks, and coach peers and junior teammates to improve planning, creative collaboration, and execution. You might thrive in this role if you: - Have 5–8 years of experience in product marketing, brand marketing, lifecycle marketing, growth marketing, audience strategy, partnerships, or related fields. - Bring deep familiarity with AI products, foundation models, generative AI capabilities and limitations, and common user workflows; this is a critical qualification for the role. - Have experience translating complex technology and technical product capabilities into clear, compelling, differentiated customer value propositions. - Are a strategic thinker who can turn audience insight, cultural context, product strategy, and business goals into a compelling point of view and an actionable marketing system. - Can move fluidly between big-picture strategy and hands-on execution: building the framework, writing the brief, launching the program, and reviewing results. Nice to Have: - Experience working with creators, developers, communities, partnerships, or other distinct customer segments. - Experience working across cultures, regions, or international markets. - Experience with experimentation, performance measurement, social listening, and translating signals into strategic recommendations. - Experience in consumer technology, emerging products, developer tools, enterprise products, or other fast-changing categories. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Full Stack Software Engineer, Sales Platform
About the Team The Enterprise Platform Technology (EPT) team builds internal software for OpenAI’s go-to-market teams, helping streamline workflows and improve decision-making. We are building a reliable foundation that other teams can extend with their own applications. About the Role As a full-stack Software Engineer on EPT, you will build web applications, integrations, and shared platform capabilities. You will own architecture decisions and partner with business and engineering teams to improve seller workflows and develop intelligent workflow experiences that help teams identify useful next steps. We’re looking for product-minded engineers who can independently turn complex business needs into full-stack software. 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 deliver full-stack web applications and integrations that support go to market workflows - Define platform and application boundaries that let other teams extend our go to market systems while protecting sensitive data, reliability, and data integrity. - Work with product and business partners to prioritize useful capabilities, including intelligent experiences informed by relevant business context.. You might thrive in this role if you: - 5+ years of professional software engineering experience, excluding internships, on product-driven teams. - Experience building large-scale, full-stack software applications in collaboration with cross-functional teams. - Make sound architecture and product decisions for connected systems, with attention to sensitive data, reliability, and maintainability. - Communicate clearly and collaborate across engineering and business teams. The EPT platform uses Python/FastAPI and React, but experience with those specific technologies is not required. Agentic-system experience is a plus, not a requirement. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
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