Strategic Account Executive in San Francisco

About the Team OpenAI Finance is responsible for ensuring the organization is set up for success in pursuit of its mission. OpenAI’s Tax and Trade team sits at the center of OpenAI’s global growth—shaping how cutting-edge AI products, partnerships, and infrastructure scale across borders while navigating complex tax, trade, and regulatory regimes. We operate as strategic operators, not just compliance experts, embedding early in product, finance, policy, and infrastructure decisions to manage risk, unlock incentives, and enable OpenAI to grow responsibly and competitively worldwide. As OpenAI’s products, monetization models, and global infrastructure expand, our tax systems must scale with the same rigor and reliability as our product architecture. The team partners deeply with Financial Engineering, Product Engineering, and Finance Systems to build a modern tax technology stack that enables accurate, real-time tax determination across OpenAI’s global business. About the Role We're hiring a Director, Tax Infrastructure & Incentives to lead OpenAI's global tax infrastructure strategy supporting AI infrastructure expansion programs. You will own the tax strategy supporting data center development, site selection, infrastructure investments, and government incentive programs across. This role extends far beyond traditional property tax planning and reporting - you will help shape where and how OpenAI invests billions of dollars in AI infrastructure by partnering with executive leadership, infrastructure teams, governments, utilities, and external stakeholders. You will build scalable frameworks for negotiating and managing tax incentives, property tax, indirect tax, and infrastructure-related tax matters while developing repeatable processes that enable OpenAI to expand rapidly across multiple jurisdictions. You will also establish the governance, reporting, and operational infrastructure required to support long-term compliance, financial reporting, and executive

About the Team Our Robotics team is focused on unlocking general-purpose robotics and advancing toward AGI-level intelligence in dynamic, real-world environments. Working across the full model and systems 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 real-world systems to improve people’s lives. About the Role We are seeking an experienced commercial attorney to serve as the primary legal partner supporting Robotics. In this role, you will provide practical, business-oriented legal counsel across hardware development, manufacturing, supply chain, procurement, and strategic commercial initiatives. You will work closely with Robotics leadership and cross-functional partners to help build scalable legal frameworks that enable innovation while thoughtfully managing risk. This is a unique opportunity to help shape the legal foundation of a rapidly growing robotics organization developing cutting-edge technologies. You will negotiate high-impact commercial agreements, advise on complex operational matters, and partner closely with technical and business teams to support the development and commercialization of next-generation robotics systems. This role is based in San Francisco, CA and requires in-person presence 4 days a week. In this role, you will: Serve as the primary legal partner supporting Robotics leadership and cross-functional teams. Provide practical, business-oriented legal advice to teams across hardware engineering, manufacturing operations, supply chain, procurement, finance, and operations. Draft, review, and negotiate complex commercial agreements, including supplier, manufacturing, development, consulting, licensing, procurement, and strategic partnership agreements. Advise on legal issues arising throughout the hardware development lifecycle, including manufacturing, supply chain operations, vendor relatio

About the Team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. Customer Education plays an important role in that mission by helping people and organizations use increasingly capable AI systems effectively, responsibly, and with confidence. We create learning experiences, programs, and resources that help customers move from initial understanding to sustained use and measurable impact. As our products, audiences, and programs grow, we need an operating foundation that keeps the content portfolio trusted, clarifies complex work, and helps the team deliver at a consistently high standard. This role offers the opportunity to build the operational foundation behind education programs that shape how enterprises adopt frontier AI. About the Role We are looking for a strategic operator to own the operating system behind Customer Education. You will work at the center of content, systems, and team execution: owning the health of our education content portfolio, running the team’s operating rhythm, and translating evolving business needs into scalable workflows and system requirements. The right person will raise the quality of execution across Customer Education. You will bring order, judgment, and follow-through to a fast-moving environment, making the function easier to run, easier to trust, and easier to scale. In this role, you will: Own the health and integrity of the Customer Education content portfolio, including lifecycle, governance, discoverability, reuse, and meaningful gaps. Ensure customer-facing teams can confidently find and use the right education resources at the right time. Run the team’s operating rhythm across priorities, ownership, timelines, dependencies, decisions, launch readiness, and follow-through. Turn ambiguous cross-functional initiatives into clear plans, workflows, responsibilities, and decision points. Design scalable processes and handoffs for how education programs are created, launched, maintai

About the Team The Finance Platform & Technology team at OpenAI builds and scales the future-proof systems and data architecture that power our core financial operations. We enable business agility, compliance, and operational excellence across quote-to-cash, procure-to-pay, inventory, and asset management for both B2B and B2C. Our focus is on modernizing workflows through strategic integrations, scalable automation, and seamless data flows empowering smarter decisions, reliable reporting, and sustainable growth as OpenAI evolves About the Role We are looking for a Supply Chain Transformation Architect to redesign and modernize our end-to-end supply chain operations supporting robotics, consumer hardware, and data center infrastructure. This role sits at the intersection of process, systems, and data. Your primary focus will be transforming supply chain processes across planning, procurement, manufacturing, logistics, and fulfillment—then enabling those processes with the right systems architecture, data foundation, and AI-driven automation. You will help move the organization from manual, reactive operations to intelligent, data-driven supply chain execution. In this role you will: Lead End-to-End Supply Chain Transformation Evaluate and redesign core supply chain processes across demand planning, supply planning, procurement, manufacturing operations, logistics, and fulfillment. Identify operational bottlenecks, fragmented workflows, and manual processes that limit scalability. Build standardized process frameworks and operating models that support rapid scaling of hardware programs. Drive Operational Excellence Implement structured supply chain practices such as: S&OP / Integrated Business Planning Supply risk management Inventory optimization Supplier collaboration frameworks Logistics visibility and execution models Establish operational KPIs and governance to improve predictability, responsiveness, and resilience. Architect the Digital Supply Chain Tra

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role As a Supply Chain Program Manager, you will own material readiness and supply chain execution for critical hardware programs spanning custom silicon, systems, memory, storage, networking, and rack infrastructure. You will work cross-functionally with Engineering, Strategic Sourcing, Manufacturing Operations, Finance, Planning, Quality, and external suppliers to develop and execute scalable supply strategies that support aggressive product development and deployment timelines. This role requires deep understanding of hardware supply chains, material planning, NPI execution, supplier management, and operational scaling in constrained and rapidly evolving environments. In this role you will: Material Readiness & Supply Planning - Own end-to-end material readiness across NPI and production phases, including building the necessary framework and processes for enablement. Drive supply planning and execution for long lead-time and constrained commodities including ASICs, HBM, DDR, SSDs, networking, optics, power, thermal, and mechanicals. Build and manage material readiness plans aligned to proto/pre-EVT, EVT, DVT, PVT, and mass production schedules. Monitor supply health, lead times, inventory positions, allocation risk, and capacity constraints. Drive shortage management, allocation mitigation, and recovery planning. Coordinate supply commits, forecast alignment, and supply continuity planning with suppliers and manufacturing partners. Cross-Functional Program Ma

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript,

About the Team OpenAI Finance is responsible for ensuring the organization is set up for success in pursuit of its mission. The Technical Accounting team plays a crucial role in helping OpenAI navigate complex, judgmental, and rapidly evolving accounting matters with rigor and clarity. We aim to bring both technical excellence and strong business partnership to some of the most novel accounting questions in the industry. About the Role As Senior Manager, Technical Accounting, Compute Infrastructure, you will lead the evaluation, documentation, and operationalization of complex accounting matters related to OpenAI's compute infrastructure, strategic investments, and other non-routine business activities.. This role sits at the intersection of U.S. GAAP technical accounting, infrastructure strategy, financial reporting, controls, and cross-functional execution. Key areas may include cloud compute arrangements, data center and colocation arrangements, lease accounting under ASC 842, power purchase agreements, strategic investments, consolidation evaluations under ASC 810, financial instruments, and other emerging or non-standard arrangements. This role is based in San Francisco, CA or remote. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Lead technical accounting analysis for complex, judgmental, and non-routine transactions under U.S. GAAP. Evaluate accounting implications for compute infrastructure arrangements, including cloud compute, data center, colocation, lease, PPA, infrastructure procurement, and related commercial arrangements. Partner with Controllership, Tax, Legal, FP&A, Procurement, Infrastructure, and other cross-functional teams to assess the accounting implications of new products, commercial arrangements, strategic transactions, and business initiatives. Prepare and review technical accounting memoranda, position papers, and other auditor-ready documentation.

About the Team The Corporate Development team sits at the intersection of OpenAI’s strategy and the global AI ecosystem. Partnering closely with research, engineering, product, GTM and business leaders, we analyze markets, technologies, and companies to identify opportunities that accelerate OpenAI’s mission and long-term strategy. Bringing together expertise in strategy, M&A, and integration, the team leads the end-to-end process of sourcing, evaluating, negotiating, and integrating acquisitions and other strategic transactions. About the Role This is a high-visibility, strategically critical, cross-functional role at the intersection of M&A execution, enterprise go-to-market, and operational excellence. You will lead the critical phase from diligence through integration planning and post-close follow-through, define repeatable integration playbooks, and partner directly with senior stakeholders to ensure each transaction delivers intended value. The ideal candidate brings structured, hands-on integration experience, with particular expertise in enterprise / B2B transactions and a passion for AI, including building an AI-native corp dev platform. This role is based in our San Francisco HQ. 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 integration planning and strategic execution for acquisitions from diligence through post-close follow-through, with clear owners, milestones, risks, and decision points. Translate deal rationale into practical integration goals and plans across product, engineering, sales, partnerships, customer success, people, finance, legal, security, systems, and communications. Partner with deal leads during evaluation and diligence to assess integration considerations, including tech stack, talent assessment, GTM alignment, transaction structure, operational readiness, and execution risk. Advise sponsors on how best to bring onboard acquisitions

About the team The Applied AI Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and startups. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to late-stage startups. About the Role We are seeking a technically proficient, business-minded Applied AI Engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, guiding them through ideation, development, delivery, and scaling to accelerate and maximize the value of what they build on our platform. You will have the opportunity to work on the most novel and creative use cases being built on our API, serving as a critical partner in collecting and delivering high-fidelity product and model feedback internally. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Startups Applied AI Lead. This role is based in our San Francisco or New York offices. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Partner closely with strategic startup customers as their technical thought partner to build novel applications on our API, helping them rapidly move from ideation to scale. Provide proactive guidance to maximize business impact and accelerate application development. Experiment and prototype alongside customers, demonstrating practical use cases. Contribute to open-source resources and scale the function by sharing knowledge, codifying best practices, and publishing useful resources. Synthesize and deliver valuable feedback to the Product and Research

About the Team The User Operations team (Support) is central to ensuring that our customers' experience with our products is nothing short of exceptional. 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 We are seeking a dynamic support strategy operator to drive strategic and operational initiatives across OpenAI’s customer support/user operations landscape. In this role, you will work closely with leaders in User Operations and across the company to help scale, mature, and optimize our support operations. Your work will span a range of strategic initiatives aimed at enhancing the customer experience and driving operational excellence, ensuring that our support organization can sustainably scale with the business's growth. You’ll be responsible for deeply understanding our organization and priorities – where we’re at, where we’re going – and will work relentlessly towards planning and executing on our vision to provide best-in-class support. This role is not “creating and executing playbooks”. AI has and will continue to fundamentally change the customer experience and the way we build tools and organizations; this role requires a proactive, strategic planner and executor that can think ten steps ahead, defining the future of customer support at OpenAI and in the world. In this role, you will: Drive the ideation and operationalization of new support systems, processes, and programs. Collaborate with leaders to identify, evaluate, and prioritize new strategic and operational initiatives, ensuring alignment with company goals and unique organizational objectives Work with product, enginee

About OpenAI OpenAI is dedicated to ensuring that artificial general intelligence (AGI) benefits all of humanity. Our mission requires building not only world-class AI models, but also the infrastructure that enables those models to be deployed reliably, efficiently, and at global scale. As demand for AI continues to grow, we are expanding the ways OpenAI can bring high-performance inference capacity online across a diverse hardware ecosystem. About the Team The GPT Infrastructure team builds software that turns advanced inference and optimization research into production products. One focus is enabling strategic infrastructure partners and accelerator vendors to qualify and onboard new compute without a bespoke porting and optimization effort for every hardware platform. We build the control planes, APIs, secure partner-side execution environments, evaluation systems, artifact pipelines, and operational tooling that make these workflows repeatable and trustworthy. The work sits at the intersection of distributed systems, AI inference, compilers and runtimes, performance engineering, security, and external partnerships. About the Role We are seeking an experienced systems generalist who can work comfortably across the stack to help build an automated inference optimization platform. Given a workload, target hardware profile, compiler and runtime context, and a trusted verifier, the system runs durable optimization campaigns that generate, compile, execute, grade, and improve candidate kernels, runtime configurations, and serving-stack changes. You will design both the OpenAI-hosted control plane and the partner-side software that evaluates candidates on real accelerator hardware. The product must keep long-running workflows reliable, make performance results reproducible, and maintain clear trust boundaries around sensitive model and hardware information. This is a deeply cross-stack role, combining strong software engineering fundamentals with systems thinking and

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We are seeking a Operations Program Manager (OPM) to serve as the single-threaded operational leader for new hardware introductions (NPI) and production ramps across OpenAI’s AI infrastructure systems. This role combines hands-on execution with strategic ownership. You will be responsible for defining the operating model, aligning cross-functional stakeholders, setting the critical path, making informed tradeoffs, escalating decisively, and ensuring hardware programs deliver on schedule, quality, cost, and scalability. Success in this role requires comfort operating in ambiguity, influencing without authority, and driving alignment across internal teams and external partners—while keeping eyes firmly on long-term system scalability and repeatability. In this role, you will: Strategic & Leadership Ownership Act as the single-threaded owner for operational readiness across NPI and ramp, accountable for outcomes from early bring-up through sustained production Translate OpenAI’s infrastructure strategy and engineering objectives into clear operating plans, execution priorities, and decision frameworks Drive alignment across Engineering, Operations, Strategic Sourcing, Finance, Capacity Planning, and Executive stakeholders by framing tradeoffs, risks, and recommendations Proactively identify inflection points where decisions or investments are required to protect long-term scale, reliability, or cost targets Influence operational strategy with manufacturing par

About the Team The Safety Systems team is dedicated to ensuring the safety, robustness, and reliability of AI models and their deployment in the real world. Building on the many years of our practical alignment work and applied safety efforts, Safety Systems addresses emerging safety issues and develops new fundamental solutions to enable the safe deployment of our most advanced models and future AGI, to make AI that is beneficial and trustworthy. Learn more about OpenAI’s approach to safety About the Role As an Analytics Engineer in Safety Systems, you will play a pivotal role in building a data-centric culture, enhancing decision-making processes, and driving strategic initiatives through analytics. You will partner closely with Engineering, Research, and Data Science to develop and maintain canonical data sources and source-of-truth dashboards that enable both people and AI agents across the organization to derive trustworthy, actionable insights. You will own the consumption layer for safety metrics: defining intuitive, reliable ways for stakeholders across Safety Systems, partner teams, and leadership to understand the safety of our products, answer safety-related questions independently, and inform product decisions and company strategy. Most importantly, you will be a core member of the Safety Systems team, collaborating with researchers and engineers to advance our goals of safe, robust, and reliable AI. 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 maintain canonical datasets that serve as sources of truth for safety metrics. Develop and refine data products such as dashboards, reports, agent-enabled workflows, and machine-readable interfaces that empower stakeholders to extract and analyze data independently. Work closely with stakeholders in Engineering, Research, and Data Science to understand their decision-making n

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 will own and execute long-term talent strategies to identify, engage, and recruit many of the world’s leading and emerging AI researchers, research engineers, and technical scientists working at the frontier of machine learning. This is not a traditional execution-focused recruiting role. You will operate as a strategic partner to OpenAI’s research staff, helping define hiring priorities, shape search strategy, influence candidate evaluation, and guide hiring decisions that directly impact the direction and quality of our frontier-model research and fulfillment of our mission. In this role, you will: Partner directly with research and technical staff to define hiring priorities, shape search strategies, and anticipate future talent needs as technical roadmaps evolve. Proactively identify and cultivate exceptional AI/ML research talent across industry, academia, and emerging labs, often before formal hiring needs exist. Use market insights and candidate signals to influence hiring decisions, leveling, and compensation strategy for highly specialized research roles. Serve as a trusted advisor throughout candidate evaluation and closing — helping leaders calibrate for research excellence, long-term potential, and organizational fit. Collaborate closely with your sourcing partner to execute complex, high-impact searches in ambiguous or rapidly evolving technical domains. You might thrive in this role if you: Significant experience recruitin

About the Team Like every team at OpenAI, the Marketing team contributes to our broader mission of ensuring responsible and widespread adoption of artificial intelligence. With that aim in mind, we are responsible for developing and executing strategies that drive awareness, engagement, and usage for OpenAI’s products and platform amongst our core audiences. Our focus extends beyond just promoting product features; we aim to provide valuable insights and resources that help our users make the most out of AI technologies. The Marketing Insights & Analytics team aims to understand the markets, audiences, behaviors, attitudes and needs to shape outreach strategies and inform product and business decisions. We’re the strategic partner that discovers insights, specifically: foundational understanding, marketing strategy, thought leadership, measurement and tracking. About the Role You will be the Market Research Lead that translates insights into actionable marketing plans and executions, drive business results, and orient the team towards strategic thinking to drive brand outcomes. This is critical as we hope to reach millions of users and businesses worldwide. This role can be based in San Francisco, CA or NYC, NY utilizing a hybrid work model (3 days per week in-office). In this role, you will: Play an integral part of Marketing and be a strategic partner to brand, product marketing, creative, product and beyond. Design, execute, and deliver high-impact research using mixed methods. Work on a diverse portfolio of business challenges - how do we reach the next billion people, how do we grow internationally, how do we position our suite of products, and how do we ship joy to our customers. Translate business questions into research plans. Translate data into clear, compelling narratives. Develop deep empathy for developers, builders, and technical decision-makers, understanding their workflows, motivations, and pain points across the lifecycle Shape go-to-market str