Lambda
Engineering Manager, AI Cloud Platform
Lambda, San Francisco, California, United States, 94199
Overview
Join to apply for the
Engineering Manager, AI Cloud Platform
role at
Lambda . This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is Tuesday. 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 with Product and Design to ensure the user experience meets enterprise customer needs. 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 leadership and execution, prioritizing customer needs with 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. Qualifications
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, including leading by trust, empathy with reports and other teams, and sustaining velocity Experience managing long-term projects alongside urgent priorities and incident resolution Extensive experience collaborating with product, sales, and other engineering teams to build cohesive products focused 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
Base pay range: $330,000.00/yr - $440,000.00/yr About Lambda
Founded in 2012, ~400 employees and growing We offer generous cash & equity compensation Investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, and others 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 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.
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Join to apply for the
Engineering Manager, AI Cloud Platform
role at
Lambda . This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is Tuesday. 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 with Product and Design to ensure the user experience meets enterprise customer needs. 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 leadership and execution, prioritizing customer needs with 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. Qualifications
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, including leading by trust, empathy with reports and other teams, and sustaining velocity Experience managing long-term projects alongside urgent priorities and incident resolution Extensive experience collaborating with product, sales, and other engineering teams to build cohesive products focused 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
Base pay range: $330,000.00/yr - $440,000.00/yr About Lambda
Founded in 2012, ~400 employees and growing We offer generous cash & equity compensation Investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, and others 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 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.
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