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San Francisco, California, United States
Hybrid
The Product & Platform teams at OpenAI are responsible for delivering the company’s most impactful offerings—such as ChatGPT, our API platform, and new enterprise capabilities—to a global and diverse customer base. These systems must perform at scale and deliver exceptional experiences to developers, consumers, and businesses alike.
Technical Program Managers at OpenAI play a key leadership role in scaling these efforts, partnering deeply with product, engineering, design, and go-to-market teams to bring ambitious ideas to life and ensure clarity and discipline in execution.
We are hiring a Technical Program Manager to support OpenAI's critical AI deployments across strategic cloud partners. This role is designed for a candidate who can operate as an end-to-end owner across internal engineering teams and external partner organizations.
This role will drive the technical strategy and execution required to bring OpenAI models and platform capabilities into partner environments responsibly and at scale. The work spans engineering deliverables, shared roadmaps, model launch pipelines, technical integration, launch readiness, and post-launch follow-through.
You will work closely with senior leaders across OpenAI engineering, infrastructure, product, safety, security, legal, finance, and go-to-market, as well as technical counterparts at our partners. The job is to turn broad partnership commitments into concrete execution plans, align both sides on what must land, and build repeatable mechanisms for launching OpenAI capabilities on third-party platforms.
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.
Lead end-to-end execution for major cloud partner programs spanning model deployment, product integration, operational readiness, launch follow-through, and partner-platform adoption.
Own integrated technical roadmaps across OpenAI and partner teams, including milestones, dependencies, risks, resourcing needs, and the sequencing required to land joint commitments.
Own launch readiness across cloud partner platforms, including readiness checklists, blocker tracking, joint go/no-go reviews, and post-launch stability follow-through.
Act as a primary technical interface to partner engineering organizations, helping own the shared roadmap and day-to-day coordination on deployment, capacity, incidents, and open engineering issues.
Drive alignment across engineering, infrastructure, product, safety, security, legal, finance, and go-to-market teams so joint deliverables are well-scoped, sequenced, and executable.
Provide clear, transparent reporting on program status, issues, risks, and decisions required for senior leaders and stakeholders.
Convert open issues into prioritized plans that both OpenAI and partner teams can commit to, with clear owners, workbacks, and closure paths.
Help build repeatable and efficient development and launch pipelines for OpenAI models on partner platforms.
Bring substantial technical program management leadership across infrastructure, platform, or large-scale engineering work, with a track record of owning complex programs end to end.
Have led complex partner-facing programs where success required tight coordination across company boundaries, clear operating rhythms, and sustained follow-through.
Understand cloud architectures, AI/ML deployment, model serving, and the practical integration challenges of bringing advanced AI systems to production.
Direct experience with major cloud or AI platforms, including how models are integrated, launched, and onboarded for customers.
Familiarity with how foundation models are integrated, packaged, launched, and operated through partner platforms or marketplaces.
Experience with inference systems, model serving, accelerator-backed infrastructure, or distributed systems.
Can balance strategic priorities with rapid, high-quality execution in fast-moving environments.
Communicate crisply with engineers, executives, and external partners, and can create alignment without direct authority.
Thrive in ambiguous, scaling environments and can bring order to complex cross-functional work without losing pace.
Exercise strong judgment on risk, sequencing, and the difference between a target date and a credible launch plan.
Care about OpenAI's mission and about expanding responsible access to advanced AI systems.
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.
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