Technical Program Manager, Rack Delivery

About the Team

The Stargate organization is responsible for building and scaling the physical infrastructure systems that power OpenAI's next generation of AI training and inference platforms. This includes the manufacturing, deployment, and operational execution required to bring large-scale compute infrastructure online globally.

The team operates at the intersection of data center infrastructure, hardware manufacturing, supply chain, deployment operations, and systems planning. We partner closely across Infrastructure Strategy, Manufacturing Operations, Capacity Planning, Supply Chain, Deployment, and Engineering to execute one of the largest infrastructure scale-outs in the industry.

About the Role

We are seeking a Technical Program Manager, Rack Delivery to drive operational execution across rack manufacturing, site readiness, and deployment coordination for Stargate infrastructure programs.

This role will serve as a key connective layer between manufacturing partners, deployment teams, and infrastructure readiness programs to ensure rack production and delivery timelines remain aligned with site availability and deployment sequencing. You will help manage operational execution across contract manufacturers (CMs), support build planning and RCCA processes, and coordinate deployment readiness across multiple concurrent infrastructure programs.

You will also partner closely with Demand Planning teams to translate strategic planning inputs into actionable SKU-level manufacturing and delivery schedules.

This role is ideal for someone who thrives operating across ambiguity, manufacturing operations, infrastructure deployment, and large-scale cross-functional execution.

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 support.

Key Responsibilities

• Drive cross-functional coordination between rack manufacturing, deployment operations, and site readiness programs.

• Manage operational execution across rack contract manufacturers including CTB tracking, build planning, and escalations.

• Coordinate rack delivery timelines against infrastructure deployment readiness milestones.

• Partner with sustaining manufacturing engineering teams on RCCA tracking and operational issue resolution.

• Translate strategic planning and deployment inputs into actionable SKU-level manufacturing and delivery schedules.

• Drive execution across multiple concurrent deployment programs with shifting priorities and timelines.

• Develop operational mechanisms, reporting, and tracking systems to improve manufacturing and deployment visibility.

• Partner across Infrastructure Strategy, Deployment, Manufacturing Operations, Supply Chain, and Capacity Planning organizations.

Qualifications

• 7+ years of experience in technical program management, manufacturing operations, hardware operations, or infrastructure deployment.

• Have experience managing large-scale hardware manufacturing or supply chain programs.

• Are comfortable operating across manufacturing, logistics, deployment, and infrastructure readiness workflows.

• Have experience working with contract manufacturers, build planning, or deployment execution.

• Can drive structured execution in fast-moving and ambiguous environments.

• Have strong operational rigor and escalation management skills.

• Are highly cross-functional and can align technical and operational stakeholders effectively.

• Communicate clearly across executive, operational, and engineering audiences.

Preferred Skills

• Experience supporting hyperscale infrastructure or data center deployment programs.

• Experience with rack infrastructure, server manufacturing, or hardware operations environments.

• Familiarity with supply planning, SKU planning, or deployment forecasting.

• Experience with ERP/MRP systems and manufacturing operations tooling.

• Experience operating in AI infrastructure, cloud infrastructure, or large-scale hardware environments.

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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We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

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Compensation Range: $205K - $335K