About the Team The Ads Support Delivery team is responsible for helping successfully operate and grow on our Ads product. This includes technical guidance, troubleshooting complex delivery and monetization issues, and partnering closely with Product, Engineering, Trust & Safety and Go-To-Market teams to resolve customer-impacting problems and improve the platform over time. The team’s mission is to deliver a high-quality customer experience at scale by combining strong human support with automation, self-service, and AI-enabled workflows, while maintaining high operational rigor. About the Role: As a Support Delivery Lead for Ads, you will lead a team responsible for end-to-end support delivery across the ads ecosystem, including campaign setup, delivery, billing, measurement, and policy navigation. You will set the operational bar for quality, responsiveness, and consistency; coach and grow the team; and translate support signals into actionable improvements with Engineering, Product, and Go-To-Market partners. 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: Lead and support a team of Ads support engineers, ensuring they have the tools, clarity, and coaching needed to operate at a high bar in a technically complex domain. Set clear expectations and operating standards, run recurring performance reviews, and build development plans that grow both technical depth (ad tech fluency) and customer-facing excellence. Design and continuously improve support coverage for ad buyers, ensuring the team can diagnose delivery issues and monetization and integration issues with equal rigor. Act as the bridge between Support Delivery, Engineering, Product, and Go-To-Market teams. Drive alignment on priorities, escalation paths, launch readiness, tooling improvements and mechanisms to reduce repeated customer pain points. Partner with engineering teams
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Lead Lead Lead Junior Lead Remote Software Architect 2c Java Backend in San Francisco
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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 people's lives. About the Role We are seeking a lead thermal simulation engineer to help accelerate the design and development of next-generation robotic systems through modeling, simulation, and analysis. You will work closely with mechanical, electrical, controls, and robotics engineers to evaluate designs before hardware is built, identify risks early, and guide critical architecture decisions. This role spans structural and thermal analysis and design across robotic subsystems including actuators, mechanisms, structures, electronics, and integrated systems. You will develop simulation workflows that improve engineering velocity, increase confidence in design decisions, and help us build more capable, reliable, and manufacturable robotic platforms. This role is based in San Francisco, CA. This role will be expected to be in office 4 days per week and offer relocation assistance to new employees. In this role, you will: Perform thermal simulations to assess heat generation, cooling strategies, thermal interfaces, and system-level thermal performance Partner with mechanical, electrical, and controls engineers to influence design decisions early in development Build simulation models to evaluate robotic actuators, transmissions, mechanisms, structures, soft goods, and integrated assemblies Correlate simulation results with physical testing and develop methodologies to improve model accuracy Support architecture trade studies by evaluating design concepts before hardware is built Develop simulation workflows, standards, and best practices that scale across the robotics o
About the Team OpenAI’s User Operations team shepherds our customer’s 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 We are looking for a leader to build and scale our Support Engineering team, which will collaborate directly with our strategic enterprise accounts, our product and engineering teams, as well as our field teams to solve some of the most difficult technical problems faced by our customers. You will lead one of the best technical troubleshooting teams at OpenAI, and our customers and Engineering teams will look to you for technical guidance in addressing the most technically difficult issues in our environment. You will play an integral role in building knowledge within the team and be part of strategic initiatives for organizational and process improvements. Working directly with our most strategic customers - You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with the OpenAI platform. This team will handle high difficulty situations and issues. The team will be global, providing 24x7 technical coverage for our customers. This will be an opportunity to build this new team from first principles - your leadership will determine the future of this organization. The ideal candidate will have a combination of technical capabilities mixed with strong leadership and systems building strength. This role is based in San Francisco, CA. We use a hybrid work model of 3 days
About the Role We’re looking for a Competitive Intelligence Lead, a senior individual contributor reporting to the Head of Competitive Intelligence, to help operationalize and scale the company’s competitive intelligence capability. This person will own high-priority competitive analyses, executive-ready insights, and GTM enablement that help Product, Sales, Marketing, Customer Success, and leadership understand where we win, where we’re vulnerable, and how the market is evolving. This is not a traditional research role. It is a hands-on strategy role at the intersection of Product, GTM, Research, and Leadership. You will turn competitor movements, customer feedback, product data, and market signals into clear recommendations that influence roadmap decisions, positioning, pricing, sales execution, and executive decision-making. What You'll Do Partner with the Head of Competitive Intelligence to translate the company’s CI strategy into repeatable analyses, operating rhythms, executive materials, and GTM enablement. Own high-priority competitor deep dives, market landscape reviews, pricing analyses, product comparisons, Harvey Ball assessments, feature matrices, and strategic opportunity/risk assessments. Create executive-ready insights that inform product strategy, roadmap prioritization, GTM planning, pricing, and investment decisions. Develop best-in-class competitive messaging, objection handling, battlecards, and enablement content for Sales, Marketing, Customer Success, and Partnerships. Monitor competitor product launches, model releases, acquisitions, partnerships, pricing changes, funding activity, customer announcements, and GTM motions. Synthesize fast-moving and complex market information into clear implications, recommendations, and decision-ready narratives. Partner closely with Product Management to identify areas of differentiation, competitive gaps, customer pain points, and emerging opportunities. Collaborate with Marketing to sharpen positioning, me
About the Team OpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements. We move quickly from prototype to production and surface reusable patterns that shape our platform. We operate at the intersection of deployment and development – working closely with OpenAI Research, Product and Partnerships. About the Role As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to Semiconductor customers. You will own how solutions are scoped, built, shipped, and adopted across high-value engineering workflows such as RTL design, verification, and physical implementation. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will focus on the semiconductor vertical to deploy next-generation AI capabilities. You will own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project m
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 We are looking for a hands-on lead to build and run OpenAI's Incidents & Escalations function within User Operations. This is a player-coach role with a meaningful hands-on operating component. You will set the operating model and also step into active incidents and urgent escalations when needed, coordinating with on-call teams, driving clear ownership, supporting communications, and ensuring issues move through resolution and post-incident closure. During active incidents, you will coordinate with the relevant on-call teams and cross-functional responders across Engineering, Infrastructure, Support Delivery, Product, and Go-To-Market. You will help keep teams aligned, maintain timelines, clarify ownership, escalate when needed, and ensure internal, executive, customer-facing, and external communications are accurate and timely, including status page updates when required. For escalations, you will build and run the processes for tracking, triaging, mitigating, and resolving critical customer and user issues. After incidents and escalations, you will own the follow-through: retrospectives, root cause identification, action item tracking, trend analysis, and process improvements that reduce repeat issues over time. You will also help define the long-term operating model for incidents and escalations across Support D
About the Team At OpenAI, our User Safety & Risk Operations (USRO) team helps protect our products and users from abuse, fraud, safety risks, and other forms of misuse. We operate at the front line of real-world safety and risk management, translating user and operational signals into timely decisions, effective interventions, and improvements to our systems. This role sits on a new team within USRO focused on building operational capacity for new, ambiguous, or fast-moving areas of work. The team helps define what needs to be built, creates the operating model to support it, and works with partner teams to make the work scalable and durable over time. As a Strategic Operations Lead, you will focus on large, cross-functional initiatives that require clear thinking, technical fluency, strong execution, and the ability to bring structure to undefined problems. About the Role We are seeking a Strategic Operations Lead to drive new and existing strategic operating builds across User Safety & Risk Operations. This is a senior IC role for someone who can turn broad, undefined priorities into clear operating models, launch plans, requirements, stakeholder alignment, documentation, reporting, and execution rhythms. This role will often support initiatives where OpenAI is developing new products or partnerships and the operating model is still being defined. These programs have a direct user safety and risk nexus because new deployment models can change what signals OpenAI can see, who owns response decisions, and how user-impacting risks are detected, escalated, and resolved. You will clarify what OpenAI owns, what partner teams own, what signals we can reliably monitor, how issues should be escalated, and how the workflow should evolve from launch support into a durable operating model. The right person is highly strategic and deeply practical. They can move from executive-level framing to detailed workflow design, stakeholder management, SOPs, launch readiness, ri
About the Team The B2B Marketing team contributes to OpenAI's broader mission of ensuring responsible and widespread adoption of artificial intelligence. We are responsible for developing and executing strategies that drive awareness, engagement, and usage for OpenAI's products and platform. We take a data-driven approach to understand our customers' needs and challenges, ensuring that their voices are reflected in product development and messaging. We then partner closely with Product, Engineering, Growth, Sales, Research, Comms, and Design teams to create a cohesive customer experience across all our channels. About the Role We're looking for a senior product marketing leader to own the strategy, narrative, and go-to-market direction for ChatGPT Work. This role will help define how professionals, teams, and organizations put AI to work on meaningful tasks, move from questions to completed work, and adopt new ways of working across their business. You will serve as the senior product marketing owner for ChatGPT Work, shaping the category, setting portfolio priorities, and connecting product innovation to customer understanding, adoption, and growth. Your scope will span the Work experience across surfaces, connected tools, and AI-powered workflows, with a clear focus on the needs of professional users, Business customers, and Enterprise organizations. This is a leadership role for someone who can set strategy, make difficult tradeoffs, and stay close enough to the work to shape the messaging, product decisions, launches, and programs that determine whether customers adopt. You will partner with Product, Growth, Sales, Research, Comms, Creative, and adjacent product marketing teams to build a coherent experience from first discovery through sustained team usage. In this role, you will: Own the ChatGPT Work product marketing strategy: Define the audience, market opportunity, positioning, competitive strategy, and go-to-market priorities across professional users, tea
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 a Lead Robotics Safety Engineer to define and lead the product safety strategy for our robotics program. You will work closely with leadership, engineering, research, legal, and policy teams to ensure safety is integrated into our products from the earliest stages of development through deployment. This role combines product safety, regulatory strategy, systems engineering, and risk management. You will help shape how we think about safety across robotic platforms, influence product architecture and development decisions, and ensure our systems are designed to meet both current and emerging regulatory expectations. You will serve as a subject matter expert on robotics safety standards, regulatory frameworks, and safety engineering practices while helping establish the long-term safety strategy for our products and organization. This role is based in San Francisco, CA. This role will be expected to be in office 4 days per week and offer relocation assistance to new employees. In this role, you will Define and lead the product safety strategy for robotic systems across the development lifecycle. Monitor and influence emerging regulatory frameworks, industry standards, and policy developments relevant to robotics and autonomous systems. Partner with engineering teams to translate safety requirements into product architecture, design decisions, and engineering requirements. Develop and maintain system-level hazard analyses, risk assessments, and safety cases for robotic products. Establish safety requirements, verification strat
About the Team OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world’s most advanced AI infrastructure ecosystem. The Infrastructure team is central to this mission, setting the core strategy and implementing the vision. From site selection to deployment to operations, this team sits at the intersection of commercial, technical, and operational domains, interacting with experts and executives inside and outside of OpenAI. We design and operate mission-critical facilities that support cutting-edge AI workloads at scale. About the Role We are seeking a Facilities Operations Lead to support the commissioning, deployment, and long-term operation of our next-generation AI data centers. This role bridges the interface between data center construction and hardware landing, ensuring seamless integration of mission-critical infrastructure with hardware deployment timelines. You will define and execute commissioning plans, support infrastructure bring-up, and take ownership of operations and maintenance for cutting-edge, large-scale, AI data centers. You will collaborate closely with design, construction, and hardware teams to define repeatable processes for new data center builds and lead hands-on operations to uphold the performance and reliability of our deployed infrastructure. Key Responsibilities Define and execute sequences of operations, commissioning steps, and bring-up processes for mission-critical data center facilities. Interface with the design and hardware teams to define deployment procedures tailored to each data center and hardware configuration. Oversee installation, commissioning, and operational readiness of large-scale data center campuses. Manage monitoring, maintenance, and quality control of the data center infrastructure, including high-performance liquid cooling systems. Develop on-site operations staffing strategy. Develop and enforce procedures for planed and unplanned downtime and SLAs for critical
About the team OpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements. We move quickly from prototype to production and surface reusable patterns that shape our platform. We operate at the intersection of deployment and development – working closely with OpenAI Research, Product and Partnerships. About the Role As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in San Francisco. W
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
About the Team OpenAI’s Industrial Compute team is responsible for building and scaling large-scale compute capacity across first-party data centers, strategic partners, and industrial infrastructure environments. We focus on converting power, land, hardware, and operational execution into reliable compute capacity that can support frontier AI training and inference workloads. This team operates at the intersection of infrastructure delivery, hardware systems, utilities, supply chain, and capacity strategy—ensuring OpenAI can scale compute faster than traditional models allow. About the Role We are seeking a Tokens-as-a-Service (TaaS) Lead to drive the end-to-end conversion of industrial-scale infrastructure investments into usable token capacity for OpenAI workloads. In this role, you will own execution across complex compute programs where raw infrastructure capacity must be transformed into operational GPU throughput. You will coordinate across data center delivery, power, networking, hardware deployment, workload enablement, finance, and external partners to ensure capacity becomes productive tokens as quickly and efficiently as possible. This role is ideal for someone who can bridge physical infrastructure delivery with compute utilization outcomes. Success requires strong systems thinking, elite program leadership, and the ability to drive accountability across internal teams and strategic partners. In this role, you will Lead Tokens-as-a-Service programs across industrial compute environments, including first-party and partner-owned capacity. Convert delivered power, space, and hardware capacity into production-ready token throughput. Build integrated execution plans spanning construction, power energization, rack deployment, networking, cluster readiness, and workload onboarding. Partner with infrastructure engineering, hardware, networking, finance, supply chain, and operations teams. Drive external providers, EPCs, OEMs, utilities, and strategic partners t
About the Role We’re looking for a senior Strategic Finance Lead to help shape and execute OpenAI’s financial strategy across some of the company’s most important long-term investments and growth priorities. This high-impact role sits at the intersection of corporate finance, capital markets, treasury, and cross-functional execution. In this role, you will: Shape financial strategy for major long-term investments, capital structure decisions, and broader strategic decision-making. Build rigorous financial models and scalable frameworks to evaluate strategic initiatives, funding options, tradeoffs, and risk. Structure and help execute complex strategic initiatives in partnership with cross-functional teams. Translate ambiguous technical and business inputs into clear recommendations and decision-ready materials for executives, the board, and other senior stakeholders. Lead high-priority cross-functional workstreams from concept through execution, bringing strong judgment, ownership, and communication in fast-moving situations. Help build an AI-native finance organization by applying AI to improve workflows, decision-making, and execution across finance processes. You might thrive in this role if you have: 12+ years of experience across strategic finance, corporate finance, capital markets, investment banking, infrastructure finance, or related fields. A strong understanding of capital structure, financing strategy, debt markets, and large-scale investment evaluation. Experience operating in high-growth, high-complexity environments with the ability to navigate ambiguity and move quickly. Exceptional financial modeling, strategic thinking, and problem-solving capabilities. Strong executive presence with the ability to communicate clearly across investors, executives, and technical stakeholders. A high-agency operating style that combines strategic perspective with a willingness to build directly. Excitement around using AI as a core operating advantage, with a mindset
About the Role We’re looking for a Procurement Enablement Lead to improve how employees and stakeholders navigate procurement at OpenAI. This role partners across Procurement, Finance, Legal, Security, Privacy, and Enterprise Technology to simplify workflows, improve guidance, and support scalable procurement experiences across the procurement lifecycle. You’ll translate procurement policies and operational requirements into clearer processes, better-enabled systems, and more intuitive employee experiences that reduce friction while strengthening consistency and controls as OpenAI continues to grow. This role is ideal for someone who combines operational judgment, process design, and strong cross-functional partnership skills. You should be comfortable working in evolving environments where systems and workflows are still being built and continuously improved. A key part of the role will be identifying opportunities to use AI and automation to streamline workflows, reduce manual work, and improve service delivery across Procurement operations. This role is based in San Francisco, CA. We use a hybrid work model of 3 days per week in the office and offer relocation assistance to new employees. In this role, you will: Partner across Procurement, Finance, Legal, Security, Privacy, and Enterprise Technology to improve how procurement work gets requested, routed, approved, and supported across the spend lifecycle. Help design and improve procurement intake, guidance, and workflow experiences that make it easier for employees and stakeholders to navigate procurement processes. Translate procurement policies, operational needs, stakeholder feedback, and operational insights into clear business requirements for workflows, automation, reporting, analytics, and process improvements. Partner with Enterprise Technology and tool owners to support workflow configuration improvements across procurement systems, including approvals, routing, SLAs, escalation paths, exception handlin
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