Technical Program Manager, Global Infrastructure Planning

OpenAI

. Own CPU capacity planning and management across Research and Compute .

Posted 11/5/2026full-timeSan Francisco • California • United StatesMid-LevelSenior💰 $207,000 - $285,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in CPU capacity planning and management, with a strong focus on demand forecasting, supply planning, and allocation strategies across multiple cloud providers. Proven ability to lead complex programs, improve infrastructure utilization, and communicate effectively with cross-functional teams.

Highest-signal resume keywords

Capacity PlanningDemand ForecastingCloud Infrastructure ManagementTechnical Program ManagementData Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Capacity EngineeringInfrastructure ManagementWorkload ArchitectureCPU Demand PlanningStorage Capacity ManagementNetwork Bandwidth AnalysisForecastingUtilization ImprovementEfficiency ProgramsAutomation Tools

Soft Skills

Clear CommunicationResourcefulnessOwnershipLeadershipCollaboration

Tools & Technologies

AWSGCPAzureOCI

Industry Keywords

Capacity OperationsQuota ManagementRegional ConstraintsCommercial CommitmentsWorkload Placement

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

Own CPU capacity planning and management across Research and Compute
Lead integrated planning for CPU, storage, and network capacity across OpenAI’s global fleet
Connect workload demand and GPU deployment plans with foundational resources for pretraining, research, and application infrastructure
Work with workload owners, infrastructure engineering, network deployment teams, Finance, cloud providers, and other partners
Turn forecasts into supply and allocation plans
Guide decisions when capacity is constrained
Drive opportunities to improve utilization and reduce waste
Manage capacity planning across multiple years and ongoing capacity operations across regions and providers, including AWS, GCP, Azure, and OCI
Lead CPU demand planning and maintain forecasts covering workload growth, regional and hardware requirements, timing, and alternatives
Translate workload growth and GPU fleet plans into CPU, storage, and network requirements
Reconcile supply with demand, model constrained scenarios, and drive allocation and prioritization decisions
Lead CPU allocation planning and fulfillment, including quota transfers, rebalancing, and reclaims
Translate regional demand into bandwidth and connectivity plans, ordering inputs, and delivery milestones
Evaluate resource sizing, regional placement, data movement, storage choices, and alternatives
Drive fleet efficiency programs, measure released capacity and cost improvements, and preserve performance and reliability
Improve demand intake, forecasts, scenario models, inventory and allocation records, and workflow automation
Shape capacity orders, commitments, and renewal decisions with cloud providers, Finance, Procurement, and engineering
Align capacity plans with cluster and application deployment milestones
Communicate demand, supply, allocation tradeoffs, forecast changes, and risks to teams and leadership

Requirements

What you’ll need

5+ years of experience in technical program management, capacity planning, capacity engineering, or infrastructure management
Experience owning complex programs at scale
Direct experience managing demand forecasting, supply planning, allocations, and capacity operations for CPU or cloud compute infrastructure
Understanding of forecasts, inventory, quotas, delivery schedules, and utilization
Technical depth in one or more infrastructure domains
Ability to reason across dependencies among CPUs, GPUs, storage, and networks
Understanding of workload architecture, CPU and memory needs, storage capacity and throughput, network bandwidth and latency, and regional placement
Experience working across multiple cloud providers
Understanding of provider capabilities, quotas, regional constraints, and commercial commitments
Experience building or improving capacity planning tools, data models, or automation
Comfort working directly with data to validate assumptions, model scenarios, and measure outcomes
Experience delivering measurable infrastructure utilization or cost improvements through reclaims, rightsizing, modernization, workload placement, or other efficiency programs
Ability to lead decisions across engineering, research, product, Finance, and external providers
Clear communication with working teams and leadership
Resourcefulness and ownership in ambiguous environments
Interest in and thoughtfulness about the impacts of AGI

Benefits

Comp & perks

Equity
Performance-related bonus(es) for eligible employees
Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents)
Paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays
Multiple paid coordinated company office closures throughout the year
Paid sick or safe time
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend
Daily meals in offices and meal delivery credits as eligible
Relocation support for eligible employees
Charitable donation matching
Wellness stipends