Token-as-a-Service Technical Program Manager · OpenAI

Fri, 24 Apr 2026 12:23:54 GMT
Engineering

OpenAI · San Francisco; Seattle · $342K – $555K · hybrid

Compensation

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

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), plus 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, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus 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 to fuel your professional growth

Daily meals in our offices, and meal delivery credits as eligible

Relocation support for eligible employees

Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

OpenAI's Stargate and 3P Engineering teams are responsible for building and scaling the external infrastructure ecosystem that powers advanced AI systems. We work across hyperscalers, colocation providers, cloud partners, and strategic third-party operators to turn contracted capacity into production-ready compute.

About the Role

We are seeking a Technical Program Manager, Token-as-a-Service (TaaS) to lead delivery of external compute capacity that directly serves OpenAI model workloads.

In this role, you will own complex cross-functional programs that transform third-party infrastructure into usable tokens at scale. You will partner across engineering, capacity planning, networking, hardware, finance, product, and external providers to ensure that deployed capacity translates into real production throughput.

Key Responsibilities

Lead end-to-end delivery programs that convert external infrastructure capacity into production-ready token supply.

Own readiness across compute, storage, networking, security, and operational dependencies for third-party environments.

Build integrated plans across internal engineering teams and external partners with clear milestones, owners, risks, and critical paths.

Drive launch execution for new partner regions, clusters, and capacity expansions.

Create operating mechanisms that measure deployed capacity versus usable token output.

Identify bottlenecks preventing token generation (network constraints, hardware readiness, software enablement, partner delays, etc.) and drive resolution.

Coordinate with capacity planning and finance teams to prioritize the highest ROI capacity opportunities.

Establish executive-level reporting on delivery status, risks, and token ramp forecasts.

Improve repeatability of partner onboarding, technical integration, and scaling motions.

Manage escalations across internal and external stakeholders during high-severity delivery issues.

Translate ambiguous infrastructure constraints into clear execution plans.

Help define the long-term operating model for Token-as-a-Service across Stargate and 3P ecosystems.

Qualifications

8+ years of Technical Program Management, Engineering Program Management, or Infrastructure Delivery experience.

Experience leading large-scale technical programs involving cloud, data center, networking, hardware, or distributed systems.

Strong understanding of compute infrastructure, clusters, networking, storage, and production systems.

Proven ability to drive cross-functional execution across engineering, operations, finance, and external vendors.

Experience managing executive stakeholders and communicating complex tradeoffs clearly.

Strong analytical skills with ability to reason about utilization, throughput, capacity, and operational metrics.

Comfortable operating in ambiguous, fast-scaling environments.

Strong written and verbal communication skills.

High ownership mentality with bias toward action.

Experience working with external providers, strategic partners, or hyperscalers is highly preferred.

Preferred Skills

Experience with GPU clusters, AI infrastructure, or large-scale model serving environments.

Familiarity with token economics, inference capacity planning, or workload scheduling.

Experience scaling global infrastructure through third-party providers.

Background in systems engineering, networking, or hardware deployment programs.

Experience building new operational models in high-growth environments.