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HomeCompaniesOpenAITokens-as-a-Service (TaaS) Lead

Tokens-as-a-Service (TaaS) Lead

OpenAI · San Francisco · Hybrid · Active · Ashby

Job facts

FieldValue
CompanyOpenAI
TitleTokens-as-a-Service (TaaS) Lead
Normalized title-
Department / teamScaling / Scaling, Hardware
LocationSan Francisco, CA, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusactive
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from OpenAI.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in Scaling.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyOpenAI
Source0cd4593e-8bd2-40af-a7c0-80a50e54698b
ATS providerAshby

Description

About the Team OpenAI’s Industrial Compute team is responsible for building and scaling large-scale compute capacity across first-party data centers, strategic partners, and industrial infrastructure environments. We focus on converting power, land, hardware, and operational execution into reliable compute capacity that can support frontier AI training and inference workloads. This team operates at the intersection of infrastructure delivery, hardware systems, utilities, supply chain, and capacity strategy—ensuring OpenAI can scale compute faster than traditional models allow. About the Role We are seeking a Tokens-as-a-Service (TaaS) Lead to drive the end-to-end conversion of industrial-scale infrastructure investments into usable token capacity for OpenAI workloads. In this role, you will own execution across complex compute programs where raw infrastructure capacity must be transformed into operational GPU throughput. You will coordinate across data center delivery, power, networking, hardware deployment, workload enablement, finance, and external partners to ensure capacity becomes productive tokens as quickly and efficiently as possible. This role is ideal for someone who can bridge physical infrastructure delivery with compute utilization outcomes. Success requires strong systems thinking, elite program leadership, and the ability to drive accountability across internal teams and strategic partners. In this role, you will 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. You might thrive in this role if you Have led hyperscale infrastructure, data center, manufacturing, or industrial deployment programs. Understand how power + hardware + networking + software combine into usable compute. Can operate equally well with engineers, operators, executives, and external partners. Are highly structured in ambiguous, fast-moving environments. Know how to escalate intelligently and maintain momentum under pressure. Can translate technical execution into business outcomes. 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. Strong executive communication and stakeholder management skills. About OpenAI 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, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 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. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . 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. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy 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.

Full job record

Job ID04184e2d827d12ebb46cf2726df0db9521d17f14
Org IDc221c23f-16cb-4ca1-b4cf-11e90e650a62
Source ID0cd4593e-8bd2-40af-a7c0-80a50e54698b
Board ID0cd4593e-8bd2-40af-a7c0-80a50e54698b
Providerashby
Provider Job Keya67d16f7-0273-4052-bb48-06bf9c478eb6
TitleTokens-as-a-Service (TaaS) Lead
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco
DepartmentScaling
TeamScaling, Hardware
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionCA
CitySan Francisco
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/openai/a67d16f7-0273-4052-bb48-06bf9c478eb6
Apply URLhttps://jobs.ashbyhq.com/openai/a67d16f7-0273-4052-bb48-06bf9c478eb6/application
First Seen At2026-05-29 05:23:29Z
Last Seen At2026-06-06 19:14:33Z
Last Checked At2026-06-06 19:14:33Z
Last Changed At2026-05-29 05:23:29Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=openai/date=2026-06-06/2026-06-06T19-07-10-217Z-546cfa69b1194ed1036069c84088321e27543dfc6a81b7979bc13c3350d33d85.json
Event Fields
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Parsed Structured
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Extensions
{}
Native Structured
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  "department": "Scaling",
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  "workplaceType": "Hybrid",
  "employmentType": "FullTime",
  "secondaryLocations": [
    {
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}
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