Technical Program Manager, Global Infrastructure Planning

OpenAI, San Francisco

The role

You will own CPU capacity planning and management across Research and Compute. Working with infrastructure owners, you will lead integrated planning for CPU, storage, and network capacity across OpenAI’s global fleet. You will connect workload demand and GPU deployment plans with the foundational resources required to support pretraining, research, and application infrastructure at scale.

You will work closely with workload owners, infrastructure engineering, network deployment teams, Finance, and cloud providers to turn forecasts into supply and allocation plans. You will understand workload architecture, guide decisions when capacity is constrained, and drive opportunities to improve utilization and reduce waste. Your work will span planning over multiple years and ongoing capacity management across regions and providers, including AWS, GCP, Azure, and OCI.

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.

Posted pay

$207K–$285K

a year

Compared with similar jobs

This base pay is above the median for product management jobs in the Bay Area with no level in the job title.

Median: $213K a year
Other jobs in the group: 484

We compare the middle of each posted range. This is base pay as posted. The group does not include this job.

Location

San Francisco

Work type

Hybrid

Level

Not given

Experience

5+ years

Posted

5 days ago

Last check

2 h ago

Job type

Product management

The role

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.

What you will do

Lead CPU demand planning across Research, Compute, and application infrastructure, including foundational services, data acquisition, container platforms, robotics, and services supporting GPU clusters. Maintain forecasts that capture workload growth, regional and hardware requirements, timing, and acceptable alternatives.
Translate workload growth and GPU fleet plans into integrated CPU, storage, and network requirements. Partner with engineering to determine the capacity, throughput, bandwidth, connectivity, and placement needed to support pretraining and applications at scale.
Reconcile current and incoming supply with demand, model constrained scenarios, and drive allocation and prioritization decisions. Lead CPU allocation planning and fulfillment, including quota transfers, rebalancing, and reclaims.
Partner with network engineering and deployment teams to translate regional demand into bandwidth and connectivity plans, ordering inputs, and delivery milestones. Coordinate CPU and network allocations as capacity is deployed across the fleet.
Understand workload architecture and performance requirements well enough to challenge assumptions and influence technical decisions. Help teams evaluate resource sizing, regional placement, data movement, storage choices, and acceptable alternatives when supply is constrained.
Drive fleet efficiency programs that reclaim unused capacity, rightsize workloads, modernize infrastructure, and improve placement or resource sharing. Measure the capacity released and cost improvements while preserving workload performance and reliability.
Scale integrated capacity planning across CPU, storage, and network in partnership with resource owners. Improve demand intake, forecasts, scenario models, inventory and allocation records, and the tools that automate recurring workflows.
Partner with cloud providers, Finance, Procurement, and engineering to shape capacity orders, commitments, and renewal decisions. Evaluate regional availability, delivery lead times, cost, and technical fit, and drive resolution of supply gaps.
Align capacity plans with cluster and application deployment milestones. Work across infrastructure owners to ensure CPU, storage, and network dependencies are ready when workloads need them, and resolve gaps that would delay usable capacity.
Give teams and leadership a clear view of demand, supply, allocation tradeoffs, forecast changes, and risks. Turn ambiguous or competing needs into decisions, accountable owners, and executable plans.

Technical Program Manager, Global Infrastructure Planning

The role

Technical Program Manager, Global Infrastructure Planning

The role

The team

What you will do

What you need

About OpenAI

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Company facts

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