Jobs at OpenAI

Lead the technical direction for ML-powered experimentation and predictive insights. Build production systems spanning modeling, LLMs, retrieval, simulation, statistical methods, data pipelines, backend services, and product workflows. Develop traceable, calibrated, privacy-aware predictions; establish rigorous evaluation, backtesting, monitoring, and abstention practices; and translate insights into approval-gated experimentation workflows. Partner with engineering, product, data science, and research teams while providing technical leadership for high-quality production ML.

Lead full-cycle recruiting for engineering managers and senior leaders at OpenAI. Responsibilities include defining role requirements, developing talent maps and sourcing strategies, engaging passive candidates, assessing leadership capabilities, advising senior stakeholders, managing complex offers and negotiations, and improving leadership recruiting practices and candidate experience.

Owns large enterprise accounts, driving new business, adoption, expansion, and consumption revenue. Responsibilities include prospecting, executive engagement, complex deal strategy, technical evaluations, negotiations, forecasting, account planning, and guiding customers from AI discovery through deployment and sustained usage. Partners with engineering, solutions, procurement, and customer stakeholders to create measurable business outcomes and inform product and go-to-market strategy.

Manage advertising partner relationships from onboarding through campaign growth on OpenAI’s ads platform. Advise advertisers on campaign performance, identify expansion opportunities, and provide actionable recommendations. Collaborate with Sales, Product, Analytics, Policy, and Operations to resolve issues, improve advertiser experience, and inform product strategy. Build scalable processes and best practices while supporting responsible platform growth and maintaining user trust.

Lead and grow strategic Global Systems Integrator relationships (HCLTech, Wipro, Cognizant). Develop joint business plans, drive executive alignment, co-sell motions, pipeline generation, and partner-led deployments. Coordinate internal cross-functional teams, manage governance and performance reporting, enable partner capabilities through training and solutions, and represent OpenAI at executive meetings and industry events to accelerate enterprise AI adoption and revenue growth.

Lead end-to-end production deployments of frontier AI models for strategic customers. Responsibilities include discovery, technical scoping, system design, full-stack development, production rollout, customer adoption, delivery planning, risk management, and creating reusable tools and playbooks. Provide field feedback to Research and Product teams to improve models and product roadmaps.

Lead and close complex enterprise AI pursuits from qualification through deal signature and handoff. Build executive narratives, commercial and engagement models, align cross-functional resources, and convert first-of-kind deals into repeatable playbooks that shape product, packaging, pricing, and go-to-market motions.

Lead and develop a client platform engineering team responsible for secure, reliable endpoint foundations across macOS, Windows, iOS, Android, and Linux. Set strategy, guide architecture, oversee infrastructure and platform operations, improve observability and security, and establish effective delivery and incident-management practices. Partner across Security, IT, Product, Research, and Engineering to improve employee computing, automation, device trust, application delivery, and operational scale.

Leads site-selection strategy for powered-land and greenfield or brownfield infrastructure opportunities. Builds market maps, screening frameworks, site funnels, deployment plans, dashboards, and executive decision materials. Coordinates Power, Land, Development, Engineering, Construction, Environmental, Commercial, Legal, and Finance stakeholders to assess site viability, deal terms, capital needs, risks, approvals, and readiness. Recommends advancing, deferring, or stopping candidates and transfers qualified sites to development teams.

Manage enterprise customer accounts throughout the sales lifecycle, from pipeline generation through deployment, expansion, and renewal. Develop account strategies, own revenue targets, forecast revenue, and analyze account metrics. Partner with engineering, solutions, research, marketing, and product teams on complex customer programs. Engage C-level executives, communicate technical AI concepts, monitor market intelligence, support recruiting, and help build scalable company processes and culture.

Own and scale OpenAI’s product lifecycle assurance program from development through continuous post-launch monitoring. Partner with Product, Security, Legal, Privacy, Safety, and Engineering to govern launch reviews, identify risks, and ensure compliance claims map to verifiable controls. Build low-friction technical controls, CI/CD checks, guardrails, monitoring, metrics, and dashboards across infrastructure and developer workflows. Guide high-stakes launch decisions, improve risk posture, and use incidents and regressions to strengthen assurance processes.

Own the AMER higher education territory and strategic customer relationships, driving complex AI platform sales from pipeline creation through procurement, deployment, adoption, consumption, value realization, and expansion. Engage executive, academic, technical, security, legal, and procurement stakeholders; lead cross-functional pursuit teams; translate AI capabilities, governance, privacy, and security requirements into transformation roadmaps; forecast revenue and usage; and inform product and go-to-market strategy.

Own OpenAI’s global PwC alliance, developing strategy, executive relationships, joint business plans, pipeline growth, co-selling motions, solution delivery, governance, and partner enablement. Lead cross-functional teams without direct authority to drive enterprise AI adoption, secure production deployments, customer outcomes, repeatable industry solutions, and sustained commercial growth. Allocate resources, monitor KPIs, manage escalations, and build the operating model needed to scale the partnership.

Coordinate high-volume global recruiting logistics, including interview scheduling, candidate communication, travel arrangements, and ATS management. Serve as a point of contact for candidates and stakeholders, support multiple recruiting functions, maintain strong relationships, and help ensure interviews run smoothly and on time. The role requires organization, multitasking, urgency, professionalism, independent problem-solving, and a strong focus on candidate experience.

Lead the Solutions Architecture team, managing complex implementations of AI solutions, mentoring technical staff, and aligning customer needs with product roadmaps.

Leads global mobility and immigration strategic initiatives, including U.S. permanent residence, PERM, M&A, organizational change, global expansion, and compliance. Builds governance, playbooks, controls, dashboards, and scalable operating models; manages external counsel and vendors; and partners cross-functionally with Legal, Corporate Development, Recruiting, People, Finance, and business leaders. Uses data, systems, automation, and AI-enabled tools to improve compliance, efficiency, service quality, and employee experience.

Design and maintain Workday integrations and applications for critical HR workflows. Collaborate with teams to improve reliability, scalability, and performance of People systems.

Own and scale OpenAI’s global mobility tax program across international and domestic travel, assignments, and cross-border moves. Develop policies, governance, controls, operating models, reporting, and employee guidance while partnering with Tax, Payroll, Finance, Legal, People, and business teams. Manage vendors and advisors, monitor regulatory changes, improve workflows through automation and AI-enabled tools, and drive compliance, risk management, and service quality.

Co-design hardware for AI workloads, optimize ML platform code, develop system performance models, and collaborate with engineers and vendors to influence hardware design.

As a Full Stack Engineer, you'll develop platform capabilities, collaborate with teams to implement solutions, and integrate new technologies while ensuring architecture and security are sound.