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Data Center Technical Program Manager

Lambda
CompanyLambda
CategoryEngineering
LocationSan Jose
RemoteHybrid
EmploymentNot stated
LevelManager
SalaryUSD 278k–370k
Posted10 Jul 2026
Last verified31 Jul 2026
SourceEmployer career page (ashby)
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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, Gr
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