Technical Program Manager, Compute Infrastructure

OpenAI

. Own the GPU supply signal across the fleet, including incoming capacity, quantities, delivery forecasts, readiness milestones, and production-use dates .

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 managing GPU supply signals, coordinating complex infrastructure deployments, and leading cross-functional teams to ensure readiness and efficiency across cloud and data center environments. Proficient in capacity planning, data modeling, and establishing operational tools to support technical programs.

Highest-signal resume keywords

GPU Supply Signal ManagementKubernetes DeploymentsCloud Provider Experience (AWS, GCP, Azure, OCI)Capacity Planning CoordinationTechnical Program Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Capacity PlanningData ModelingInfrastructure DeploymentAutomationSupply And Demand ManagementOperational Data RequirementsTechnical Program ManagementInventory Planning SystemsCloud InfrastructureBare Metal GPU Provisioning

Soft Skills

CommunicationResourcefulnessProblem-SolvingCollaborationStakeholder Engagement

Tools & Technologies

AWSGCPAzureOCIKubernetesData Center InfrastructureCloud ProvidersAutomation ToolsRunbooksValidation Processes

Industry Keywords

Technical ProgramsHyperscaler DeploymentsCapital ProjectsSite ReadinessPower And CoolingCommissioningReady-For-Service MilestonesCompute InfrastructureCross-Team CoordinationAGI Impact Awareness

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformKubernetes

About the role

Key responsibilities & impact

Own the GPU supply signal across the fleet, including incoming capacity, quantities, delivery forecasts, readiness milestones, and production-use dates
Own the roadmap, requirements, delivery, and adoption of tools, data, and platforms supporting the GPU supply signal
Partner with Engineering on data models, integrations, quality checks, and planning workflows
Connect supply with capacity planning, including supply and demand management, allocation planning, and scenario analysis
Coordinate physical readiness for new capacity across data center infrastructure and cloud providers
Align site construction, power and cooling readiness, supply-chain convergence, equipment delivery, commissioning, and ready-for-service dates
Lead logical readiness across CPU, storage, network, GPU, Kubernetes, and dependent compute foundation services
Drive deployment across AWS, GCP, Azure, OCI, bare metal, and other infrastructure environments
Establish delivery scorecards for cloud providers and internal infrastructure teams
Improve cluster bringup through automation, runbooks, validation, and deployment processes
Manage critical paths, milestones, owners, dependencies, and escalation paths across concurrent programs
Resolve cross-team blockers and drive decisions
Communicate progress, risks, tradeoffs, capacity availability, and plan changes to technical and business stakeholders

Requirements

What you’ll need

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 track record of equivalent engineering expertise
Familiarity with Kubernetes deployments
Experience with at least one major cloud provider such as AWS, GCP, Azure, or OCI
Experience coordinating deployments across multiple providers is valuable
Familiarity with bare metal GPU capacity and 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
Ability to establish useful data models, improve data quality, and build adopted internal tools
Understanding of site readiness, power and cooling, equipment delivery, commissioning, and ready-for-service milestones
Record of owning and delivering complex technical programs across internal teams and external partners
Technical aptitude working with Engineering and Research to understand dependencies and evaluate tradeoffs
Ability to build scalable processes and communicate with technical and business stakeholders
Resourcefulness in ambiguous environments and ability to follow issues through resolution
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
Overtime pay for non-exempt employees, consistent with applicable laws