Technical Program Manager, Compute Infrastructure at OpenAI · LumiJobs

Responsibilities

As a Technical Program Manager for Compute Infrastructure, you will own the supply signal for all GPUs entering our fleet: a reliable view of what capacity is arriving, where and when it will arrive, and when it is expected to become usable. You will own the roadmap, requirements, delivery, and adoption of the tools, data, and platform behind that signal, partnering with Engineering to build systems that support planning and execution across OpenAI.
Own the GPU supply signal across the fleet. Maintain a trusted view of incoming capacity across providers, sites, and clusters, including quantities, delivery forecasts, acceptance and readiness milestones, and expected dates for production use. Make changes and their downstream effects visible.
Build and scale the tools, data, and platform behind that signal. Own the roadmap, requirements, delivery, and adoption, partnering with Engineering on data models, integrations, quality checks, and planning workflows. Serve Product TPMs, Capacity TPMs, and Compute TPMs, alongside Finance, Accounting, leadership, Engineering, and Research.
Connect supply with capacity planning. Partner with Capacity Planning on supply and demand management, allocation planning, and scenario analysis. Ensure plans reflect current supply forecasts, infrastructure constraints, and the effects of early or late deliveries.
Coordinate physical readiness for new capacity. Work closely with Data Center Infrastructure and cloud service providers to align ready-for-service dates, site construction, power and cooling readiness, supply-chain convergence, equipment delivery, and commissioning. Track dependencies and drive resolution of gaps that threaten deployment.
Lead logical readiness across infrastructure resources. Coordinate CPU, storage, network, GPU, Kubernetes, and dependent compute foundation services so new clusters can support their intended workloads. Make clear which missing services or resources could delay GPU use.
Drive deployment across cloud and bare metal environments. Lead integrated plans across AWS, GCP, Azure, OCI, and other infrastructure partners, accounting for provider-specific dependencies while establishing consistent readiness criteria and handoffs.
Establish Delivery Scorecards for cloud providers and internal infrastructure teams. Track delivery commitments, forecast changes, actual delivery, readiness milestones, and time to usable capacity. Use these scorecards to identify recurring gaps, clarify recovery actions, and improve delivery predictability.
Improve the reliability and repeatability of cluster bringup. Partner with Engineering to scale automation, runbooks, validation, and deployment processes. Reduce manual coordination and the time between capacity delivery and production use.
Manage the critical paths across concurrent programs. Establish clear milestones, owners, dependencies, and escalation paths. Resolve cross-team blockers and drive decisions that keep site and cluster deployments moving.
Communicate progress, risks, and tradeoffs clearly. Give technical and business stakeholders the information they need to understand capacity availability, assess changes to the plan, and make timely decisions.
You might thrive in this role if you:

Technical Program Manager, Compute Infrastructure

Responsibilities

Company

OpenAI

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