Technical Program Manager, Research Compute Services

OpenAI

. Build and own tools, data, and platforms that turn Research plans and workload signals into compute demand and manage fleet allocations .

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 capacity planning, compute allocation, and optimization within research environments, while effectively translating researcher needs into practical systems and tools. Proficient in managing complex technical programs and collaborating with cross-functional teams to enhance operational efficiency.

Highest-signal resume keywords

Capacity PlanningKubernetes DeploymentsCompute AllocationOptimization SolversTechnical Program Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Systems DevelopmentAutomationResource Constraints UnderstandingWorkload ManagementFleet Utilization Improvement

Soft Skills

Clear CommunicationProblem-SolvingAdaptabilityCollaborationLeadership

Tools & Technologies

KubernetesDistributed SystemsResearch Compute ServicesCapacity Management ToolsScheduling Systems

Industry Keywords

AGI Impact AwarenessResearch EnvironmentsCompute Demand ManagementTechnical Program DeliveryOperational Data Analysis

Tech Stack

Tools & technologies

Distributed SystemsKubernetes

About the role

Key responsibilities & impact

Build and own tools, data, and platforms that turn Research plans and workload signals into compute demand and manage fleet allocations
Work directly with researchers across pretraining, research inference, and other workloads
Translate researcher needs into improvements across compute services, tooling, and scheduling
Own the roadmap and delivery of demand-capture, allocation, and allocation-management systems
Develop systems translating research plans and workload requirements into capacity needs, including resources, timing, and constraints
Partner with Capacity Planning, Research, and infrastructure teams to reconcile demand with available supply
Build tools and workflows to evaluate scenarios, manage changes, and make allocation tradeoffs visible
Create data models, views, and automation showing demand, available capacity, allocations, and utilization
Improve self-service workflows for requesting and managing compute
Partner with engineers working on Kubernetes deployments and scheduling systems
Evaluate optimization approaches at fleet and local scheduling levels
Define constraints and objectives, assess tradeoffs, and measure fleet-utilization improvements
Use workload and fleet data to identify bottlenecks, unused capacity, and recurring manual work
Build durable improvements to supporting tools and systems
Own plans, dependencies, and decisions across Research, Research Compute Services, Capacity Planning, and infrastructure engineering
Keep teams aligned on deliverables, adoption, and operational ownership
Provide teams and leadership with visibility into demand, allocation constraints, progress, and decisions requiring attention

Requirements

What you’ll need

Strong engineering foundation, developed through relevant education or demonstrated technical experience
Experience leading and delivering complex technical programs involving large-scale compute, distributed systems, infrastructure platforms, or research environments
Practical experience with capacity planning, including supply and demand management, compute allocations, and supporting tools and data
Experience building or materially contributing to tools, data systems, or automation used by engineering or research teams
Comfortable working directly with code and operational data
Familiarity with Kubernetes deployments and scheduling systems
Understanding of resource constraints and placement decisions affecting workload execution
Understanding of optimization solvers and their use in fleet-wide allocation and local scheduling
Ability to evaluate constraints, objectives, and tradeoffs
Ability to work closely with researchers to translate evolving requirements into practical systems
Ability to own ambiguous technical problems and bring complex work through delivery and adoption
Ability to communicate technical decisions, constraints, and priorities clearly across engineering, Research, and leadership
Resourceful and comfortable with changing priorities
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 for focus and recharge
Paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend
Daily meals in our offices
Meal delivery credits as eligible
Relocation support for eligible employees
Charitable donation matching
Wellness stipends