Engineering Manager, Serverless Compute Platform

Responsibilities Inherit a team of senior ICs and build out the full vision, guide evolution, and scale the team. Ensure strong execution health and that the service launches with production-grade reliability across varied use cases such as GPU onboarding, UDF generalization, and managed REPL. Own a 0 to 1 service with platform-wide blast radius; architect and launch the Execution Sandbox Service from inception to production scale. Unify a fragmented compute surface by converging disparate CPU and GPU cluster management paths into a single provisioning service, eliminating parity bugs and providing consistent product experiences. Collaborate across partner organizations, driving alignment on API contracts and shared milestones between Serverless Platform, AI Runtime, Lakeguard, and product teams. Shape product strategy through deep technical understanding, partnering with Product Management to leverage the sandbox primitive for future offerings like serverless command execution APIs and FaaS-style workloads. Qualifications 5+ years managing engineers building and operating distributed systems in production, ideally control-plane or orchestration services. BS or higher in Computer Science or related field; equivalent practical experience is equally valued. Deep technical fluency in infrastructure systems; ability to review architecture documents, challenge design tradeoffs, and coach senior ICs. Experience with multi-cloud or multi-region service deployment (AWS, Azure, GCP). Bias toward operational rigor with commitment to observability, SLOs, pre-mortems, and healthy on-call cultures. Experience building and scaling high-caliber teams, managing L3-L5 engineers, establishing ownership boundaries, and hiring additional team members. Pay Range $180,500 - $225,600 USD Benefits Comprehensive benefits and perks for all employees. Please click here for details in your region. EEO Statement At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. Hiring practices are inclusive and meet equal employment opportunity standards. All applicants are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical or mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, the employer may be required to obtain a U.S. government license and may decline to proceed with an applicant solely on this basis. #J-18808-Ljbffr Databricks