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Lambda

Engineering Manager - Control Plane

Sorry, this job was removed at 09:10 a.m. (PST) on Wednesday, Aug 05, 2026
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Hybrid
San Francisco, CA, USA
330K-440K Annually
Senior level
Hybrid
San Francisco, CA, USA
330K-440K Annually
Senior level

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Lead a team focused on AI Cloud Platform development, ensuring feature delivery, scalability, and team growth while collaborating across departments.
The summary above was generated by AI

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 Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.

What you’ll do

  • Lead the AI Cloud Core Platform team of ~6 engineers, with end-to-end ownership of Cloud Platform and governance capabilities.

  • Drive execution of roadmap features including cluster lifecycle automation.

  • Partner closely with Product and Design to ensure the user experience matches the needs of enterprise customers.

  • Balance rapid feature delivery with longer-term investments in scalability, observability, and platform design.

  • Hire, mentor, and grow a team of engineers, providing career development and feedback.

  • Collaborate with other Lambda teams (Control Plane, Billing, Platform) to ensure smooth, integrated delivery across the stack.

  • Contribute to a culture of high performance, documentation, humility, and curiosity.

  • Be product-focused in your leadership and execution, always placing the needs of the customer first, with a particular focus on feature velocity, reliability and security.

  • Shape a culture of sustainable, empathetic, and high-velocity engineering, with a deep focus on cross-team collaboration, documentation, and data-driven decision-making.

You

  • 5+ years in a full-time management role at a high-growth technology company

  • 10+ years of industry experience in software engineering, with a focus on large-scale distributed systems and backend systems.

  • Proven record of leading and building engineering teams that work on mission-critical, high performance systems.

  • Proven track record leading teams that deliver enterprise features or governance platforms.

  • Exceptional leadership skills that encompass leading by trust, building empathy with your reports and other teams, and maintaining a sustainable but rapid velocity.

  • Demonstrated expertise in managing long-term projects alongside urgent, short-term priorities and incident resolution.

  • Extensive experience collaborating with product, sales, and other engineering teams to build cohesive products with a focus on user experience and reliability.

  • Ability to understand, review and structure Python and Go applications.

Nice to Have

  • Experience with IAM, authentication/authorization (SSO, RBAC, SCIM), governance tooling, or compliance features.

  • Background building cloud application platforms.

  • Experience managing a remote, distributed team

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

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.

HQ

Lambda San Francisco, California, USA Office

San Francisco, CA, United States, 94107

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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