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About the Role

As a Technical Program Manager for Compute Infrastructure, you will own the supply signal for all GPUs entering our fleet, managing the roadmap, requirements, delivery, and adoption of the tools and platform behind this signal. You will also lead programs that turn incoming supply into usable compute by coordinating physical and logical readiness across various teams and providers.

Responsibilities

Own the GPU supply signal across the fleet, maintaining a trusted view of incoming capacity.
Build and scale the tools, data, and platform behind the supply signal, owning the roadmap, requirements, delivery, and adoption.
Connect supply with capacity planning, partnering with Capacity Planning on supply and demand management.
Coordinate physical readiness for new capacity, working closely with Data Center Infrastructure and cloud service providers.
Lead logical readiness across infrastructure resources, coordinating CPU, storage, network, GPU, Kubernetes, and dependent compute foundation services.
Drive deployment across cloud and bare metal environments, leading integrated plans across multiple providers.
Establish Delivery Scorecards for cloud providers and internal infrastructure teams to track delivery commitments and identify gaps.
Improve the reliability and repeatability of cluster bringup by partnering with Engineering to scale automation and processes.
Manage the critical paths across concurrent programs, establishing clear milestones, owners, dependencies, and escalation paths.
Communicate progress, risks, and tradeoffs clearly to technical and business stakeholders.

Requirements

5+ years of experience leading major technical programs, including compute infrastructure, hyperscaler deployments, capital projects, or similarly complex infrastructure work.
Familiarity with Kubernetes deployments.
Experience working with at least one major cloud provider (AWS, GCP, Azure, or OCI) to scale compute infrastructure.
Experience coordinating deployments across multiple providers is valuable.
Familiarity with bare metal GPU capacity and the provisioning, inventory, and planning systems used to bring it into service.
Experience defining requirements for operational data and internal platforms.
Understanding of how site readiness, power and cooling, equipment delivery, commissioning, and ready-for-service milestones affect cluster deployment.
Record of owning and delivering complex technical programs across internal teams and external partners.
Technically adept and comfortable working with Engineering and Research to understand dependencies, evaluate tradeoffs, and turn complex problems into executable plans.
Ability to build simple, scalable processes and communicate clearly with both technical teams and business stakeholders.
Resourceful in ambiguous environments and able to follow issues through to resolution.
Interest in and thoughtfulness about the impacts of AGI.

Skills

Compute infrastructure
Hyperscaler deployments
Capital projects
Kubernetes deployments
Cloud provider infrastructure scaling (AWS, GCP, Azure, OCI)
Bare metal GPU capacity management
Provisioning systems
Inventory systems
Planning systems
Operational data requirements
Internal platform requirements
Data models
Data quality improvement
Tool adoption
Site readiness coordination
Power and cooling coordination
Equipment delivery coordination
Commissioning coordination
Ready-for-service milestone tracking
Cluster deployment
Technical program management
Cross-team dependency management
Risk management
Decision making
Process building
Clear communication
Problem solving
AGI impact analysis

Location

Remote
Hybrid

Work Type

Full-time

Experience Level

5+ years of experience leading major technical programs

Education Level

Degree in a hard science or engineering discipline, or demonstrated track record of equivalent engineering expertise.

About the Company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.
We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products.
AI is an extremely powerful tool that must be created with safety and human needs at its core.
To achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared.
Join us in shaping the future of technology.

Equal Opportunity

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.