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Data Center Technical Program Manager

Lambda · San Jose Office (Zanker) · Hybrid · Active · Ashby

Job facts

FieldValue
CompanyLambda
TitleData Center Technical Program Manager
Normalized title-
Department / teamData Center Business / Data Center Business, Program Operations, Program Operations
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 Lambda.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 Data Center Business.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

CompanyLambda
Sourcea2a91a30-c872-4cf1-9723-782f82ae903d
ATS providerAshby

Description

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. *Note: This position requires presence in our San Jose or San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. The Operations team plays a critical role in ensuring the seamless end-to-end execution of our AI-IaaS infrastructure and hardware. This team is responsible for sourcing all necessary infrastructure and components, overseeing day-to-day data center operations to maintain optimal performance and uptime, and driving cross company coordination through product management organization to align operational capabilities with strategic goals. By managing the full lifecycle from procurement to deployment and operational efficiency, the Operations team ensures that our AI-driven infrastructure is reliable, scalable, and aligned with business priorities. What You’ll Do Manage large scale deployments of GPU clusters in datacenter colocation around the country Work closely with Data Center engineering and operations to ensure proper deployment of data center infrastructure requirements Drive multiple simultaneous projects forward, assessing risks, and monitoring tasks. Proactively manage dependencies and anticipate/resolve execution issues Partner with a full spectrum of cross-functional stakeholder, including Product, Engineering and Operations – to help ensure that we are building the right thing, testing correctly, deploying on time and meeting stated SLAs for various programs Manage communication of progress/status with internal stakeholders and customer groups in various locations and time zones Interact with internal and external stakeholders at various levels concerning resolution of technical and scheduling issues Build strong partnerships across Lambda and leverage credibility and technical acumen to drive process improvements and efficiencies Contribute to the development of new business opportunities and expansion of existing business opportunities You Have 7+ years of experience in program/project management for complex product development programs Have a thorough understanding of agile and waterfall management techniques Poses a technical background, with demonstrated ability to engage on technical topics - typically demonstrated by an Engineering degree or equivalent technical experience Have excellent leadership and organizational skills Are a strong communicator, able to structure internal and external communication Strong ability to humbly lead by influence and by example Knowledge and expertise using various project management tools Comfort with ambiguity, and ability to create structure where needed Nice to Have Experience in the machine learning or computer hardware industry Demonstrated successful experience including working in a manufacturing environment with complex systems integration Experience with large-scale distributed data center environments Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda Founded in 2012, with 500+ employees, and growing fast Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Our values are publicly available: https://lambda.ai/careers We offer generous cash & equity compensation Health, dental, and vision coverage for you and your dependents Wellness and commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible paid time off plan that we all actually use A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Full job record

Job IDaaf80988f9cbf16421a8731d7a9c712701ca153c
Org ID9cb7d4f8-a1e6-475d-afeb-8c643c15fd02
Source IDa2a91a30-c872-4cf1-9723-782f82ae903d
Board IDa2a91a30-c872-4cf1-9723-782f82ae903d
Providerashby
Provider Job Key9b0cafb7-c1af-4b81-a875-7852d1b5d682
TitleData Center Technical Program Manager
Normalized Title
Statusactive
Activeyes
Location TextSan Jose Office (Zanker)
DepartmentData Center Business
TeamData Center Business, Program Operations, Program Operations
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/lambda/9b0cafb7-c1af-4b81-a875-7852d1b5d682
Apply URLhttps://jobs.ashbyhq.com/lambda/9b0cafb7-c1af-4b81-a875-7852d1b5d682/application
First Seen At2026-05-29 06:57:03Z
Last Seen At2026-06-06 09:34:58Z
Last Checked At2026-06-06 09:34:58Z
Last Changed At2026-05-29 06:57:03Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=lambda/date=2026-06-06/2026-06-06T09-34-34-828Z-45cdd8ff0e37f4f945ffb66eb43b244c85ec5ae1c0d3e2984dae2eec10eb8437.json
Event Fields
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  "last_changed_at": "2026-05-29T06:57:03.843Z",
  "active_status": "active"
}
Parsed Structured
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    "city": "San Francisco",
    "region": "CA",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.75
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T09:34:58.765Z",
  "launch_scope": {
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  },
  "remote_policy": "hybrid",
  "salary_period": null,
  "workplace_type": "hybrid",
  "salary_currency": null
}
Extensions
{}
Native Structured
{
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  "team": "Data Center Business, Program Operations, Program Operations",
  "title": "Data Center Technical Program Manager",
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  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/lambda/9b0cafb7-c1af-4b81-a875-7852d1b5d682/application",
  "isListed": true,
  "isRemote": false,
  "location": "San Jose Office (Zanker)",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Data Center Business",
  "publishedAt": null,
  "workplaceType": "Hybrid",
  "employmentType": "FullTime",
  "secondaryLocations": [
    {
      "location": "San Francisco Office (Fremont St)"
    }
  ]
}
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