Engineering Manager, AI Cloud Platform

We’re here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we’re the place to be. If you’d like to build the world’s best deep learning 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 Benefits 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 Generous cash and equity compensation 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. 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. Compensation $330K – $440K #J-18808-Ljbffr