Technical Program Manager for Compute Infrastructure

Location: San Francisco, United States; hybrid

Salary: $207K–$285K base pay annually, plus equity and potential performance-related bonuses.

Company

OpenAI is an AI research and deployment company building general-purpose AI systems with a focus on safe and broadly beneficial deployment.

What you will do

• Own the GPU supply signal across providers, data centers, sites, and clusters, including delivery forecasts, readiness milestones, and expected production-use dates.
• Define the roadmap, requirements, data models, integrations, quality checks, and adoption strategy for supply and planning tools.
• Partner with Capacity Planning on supply-demand management, allocation planning, constraints, and scenario analysis.
• Coordinate physical and logical readiness for new capacity, including site construction, power and cooling, equipment delivery, commissioning, CPU, storage, networking, GPU, Kubernetes, and foundational services.
• Lead deployment plans across AWS, GCP, Azure, OCI, cloud providers, and bare metal environments; establish delivery scorecards and consistent readiness criteria.
• Manage critical paths, dependencies, risks, escalations, stakeholder communication, automation, runbooks, and cluster bring-up improvements.

Requirements

• 5+ years of experience leading major technical programs, including compute infrastructure, hyperscaler deployments, capital projects, or similarly complex infrastructure work.
• Degree in a hard science or engineering discipline, or demonstrated equivalent engineering expertise.
• Familiarity with Kubernetes deployments and experience with at least one major cloud provider such as AWS, GCP, Azure, or OCI.
• Familiarity with bare metal GPU capacity, provisioning, inventory, and planning systems.
• Experience working with Capacity Planning teams on supply and demand management, allocations, constraints, and supporting tools.
• Experience defining requirements for operational data and internal platforms, including data models, data quality, and tools adopted by engineering teams.
• Understanding of site readiness, power and cooling, equipment delivery, commissioning, and ready-for-service milestones.
• Record of owning complex technical programs across internal teams and external partners, including cloud providers, equipment suppliers, or data center infrastructure teams.
• Technical ability to work with Engineering and Research, evaluate tradeoffs, create scalable processes, communicate clearly, and resolve issues in ambiguous environments; interest in the impacts of AGI.

Nice to have

• Experience coordinating deployments across multiple cloud providers.

Culture & Benefits

• Engineer-first technical program management environment with cross-functional collaboration across Engineering, Research, Product, Finance, Capacity Planning, and Data Center Infrastructure.
• Medical, dental, and vision insurance; employer contributions to Health Savings Accounts; FSA and commuter accounts; and a 401(k) plan with employer match.
• Paid parental, medical, caregiver, sick, and safe leave; paid holidays; flexible PTO for exempt employees and up to 15 days annually for non-exempt employees.
• Mental health and wellness support, employer-paid basic life and disability coverage, and an annual learning and development stipend.
• Office meals, eligible meal delivery credits, relocation support for eligible employees, charitable donation matching, and wellness stipends.

Hiring process

• More detailed benefits information is provided during the hiring process.
• Background checks are administered in accordance with applicable law, including relevant fair-chance requirements for US-based candidates.