Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Leadership @ 7
Communication @ 7
Networking @ 4
Reporting @ 4
GPU @ 4
AI @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
OpenAI's Industrial Compute team builds and scales large-scale compute capacity across first-party data centers, strategic partners, and industrial infrastructure environments. This role drives the end-to-end conversion of industrial-scale infrastructure investments into usable token capacity for OpenAI workloads, coordinating across data center delivery, power, networking, hardware deployment, workload enablement, finance, and external partners.
Responsibilities
- Lead Tokens-as-a-Service programs across industrial compute environments, including first-party and partner-owned capacity.
- Convert delivered power, space, and hardware capacity into production-ready token throughput.
- Build integrated execution plans spanning construction, power energization, rack deployment, networking, cluster readiness, and workload onboarding.
- Partner with infrastructure engineering, hardware, networking, finance, supply chain, and operations teams.
- Drive external providers, EPCs, OEMs, utilities, and strategic partners toward aggressive timelines.
- Identify bottlenecks between physical delivery and usable compute output, then lead resolution.
- Build operating cadences, dashboards, forecasts, and executive reporting for TaaS programs.
- Develop repeatable deployment models for future industrial compute expansion.
Requirements / Who You Are
- Experience leading hyperscale infrastructure, data center, manufacturing, or industrial deployment programs.
- Strong systems thinking and elite program leadership; able to operate with engineers, operators, executives, and external partners.
- Ability to translate technical execution (power, hardware, networking, software) into business outcomes and usable compute.
- Comfortable escalating intelligently and maintaining momentum under pressure; highly structured in ambiguous, fast-moving environments.
- Strong executive communication and stakeholder management skills.
Preferred Skills
- Experience with GPU clusters, AI infrastructure, hyperscale data centers, or industrial technology programs.
- Background in program management, operations leadership, capacity delivery, or strategic infrastructure execution.
- Familiarity with utilities, construction, commissioning, networking, hardware deployment, or cluster bring-up.
- Experience managing multi-billion-dollar infrastructure or capacity programs.
Benefits
- Medical, dental, and vision insurance with employer contributions to Health Savings Accounts.
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses.
- 401(k) retirement plan with employer match.
- Paid parental leave and paid medical/caregiver leave.
- Flexible PTO (exempt) and paid days off for non-exempt employees.
- 13+ paid company holidays and additional company office closures.
- 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.
- Additional equity and potential performance-related bonuses as part of total compensation.
About OpenAI
OpenAI is an AI research and deployment company focused on developing and safely deploying general-purpose artificial intelligence. The company is an equal opportunity employer and provides accommodations for applicants with disabilities.