Engineering Manager, Serverless Compute Platform

Engineering Manager, Serverless Compute Platform Bellevue, Washington At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best AI and data infrastructure platform so our customers can use deep data insights to improve their business. The Serverless Compute Platform is the backbone of Databricks' fastest-growing products. It powers massive growth in existing product lines such as Generic Compute and SQL, as well as new products like Lakewatch and interactive compute. Behind this growth is a set of highly scalable, efficient, and intelligent services managing tens of millions of virtual machines daily across AWS, Azure, and GCP. As Engineering Manager for the Execution Sandbox team, you will own the end-to-end delivery of this new service and the engineers building it. Responsibilities Inherit a team of senior ICs who have delivered an initial preview, build out the full vision, guide evolution, and scale the team. Ensure strong execution health and launch the service with production-grade reliability across use cases such as GPU onboarding, UDF generalization, and managed REPL. Own a 0→1 service with platform-wide blast radius. Architect and launch the Execution Sandbox Service from inception to production scale. This greenfield provisioning layer will power all non-Spark compute workloads on Serverless (Notebooks, AI Agents, Remote UDFs). Unify a fragmented compute surface by converging disparate CPU and GPU cluster management paths into a single provisioning service, eliminating parity bugs and enabling consistent product experiences. Collaborate across multiple partner organizations to drive alignment on API contracts and shared milestones across Serverless Platform, AI Runtime, Lakeguard, and product teams. Shape product strategy through deep technical understanding and partner with Product Management to leverage this new 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 a related field (or equivalent practical experience). Deep technical fluency in infrastructure systems; ability to review architecture docs, challenge design tradeoffs, and coach senior ICs. Experience with multi‑cloud or multi‑region service deployment (AWS, Azure, GCP). Bias toward operational rigor: deep commitment to observability, SLOs, pre‑mortems, and healthy on‑call cultures. Build and scale a high‑caliber team: manage and elevate a team of L3‑L5 engineers, establish clear ownership boundaries and architectural doctrine, and hire 2‑3 additional engineers to support the expanded scope. Pay Range $180,500 — $225,600 USD (local range) Benefits Databricks offers a comprehensive benefits package that includes health, dental, vision, retirement, equity, and many other perks. For specific details on the benefits in your region, please refer to the company benefits portal. EEO Statement At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics. #J-18808-Ljbffr Databricks Inc.