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Data Center Technical Program Manager
Lambda · San Jose Office (Zanker) · Hybrid · Active · Ashby
Job facts
| Field | Value |
|---|---|
| Company | Lambda |
| Title | Data Center Technical Program Manager |
| Normalized title | - |
| Department / team | Data Center Business / Data Center Business, Program Operations, Program Operations |
| Location | San Francisco, CA, United States |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Ashby |
| Posted / first seen | — / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Lambda. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Ashby. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in San Francisco. | Open |
| Department jobs | Active postings in Data Center Business. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Lambda |
| Source | a2a91a30-c872-4cf1-9723-782f82ae903d |
| ATS provider | Ashby |
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
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| Board ID | a2a91a30-c872-4cf1-9723-782f82ae903d |
| Provider | ashby |
| Provider Job Key | 9b0cafb7-c1af-4b81-a875-7852d1b5d682 |
| Title | Data Center Technical Program Manager |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | San Jose Office (Zanker) |
| Department | Data Center Business |
| Team | Data Center Business, Program Operations, Program Operations |
| Employment Type | full_time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | CA |
| City | San Francisco |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://jobs.ashbyhq.com/lambda/9b0cafb7-c1af-4b81-a875-7852d1b5d682 |
| Apply URL | https://jobs.ashbyhq.com/lambda/9b0cafb7-c1af-4b81-a875-7852d1b5d682/application |
| First Seen At | 2026-05-29 06:57:03Z |
| Last Seen At | 2026-06-06 09:34:58Z |
| Last Checked At | 2026-06-06 09:34:58Z |
| Last Changed At | 2026-05-29 06:57:03Z |
| Inactive At | — |
| Source Posted At | — |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=lambda/date=2026-06-06/2026-06-06T09-34-34-828Z-45cdd8ff0e37f4f945ffb66eb43b244c85ec5ae1c0d3e2984dae2eec10eb8437.json |
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