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Engineering Manager, Serverless Compute Platform

Databricks· Engineering
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Bellevue, WA$180.5k - $225.6kFull-timePosted 4mo ago

About the role

Engineering Manager for the Execution Sandbox team responsible for end-to-end delivery of a new serverless compute service, scaling a cross-org team, and guiding platform-wide initiatives across Serverless Platform, AI Runtime, Lakeguard, and product teams.

Responsibilities

  • Own a 0→1 service with platform-wide blast radius. Architect and launch the Execution Sandbox Service from inception to production scale.
  • Unify a fragmented compute surface. Converge disparate CPU and GPU cluster management paths into a single provisioning service, eliminating parity bugs and enabling consistent product experiences.
  • Collaborate across 5+ partner organizations. Drive alignment on API contracts and shared milestones across Serverless Platform, AI Runtime, Lakeguard, and product teams.
  • Shape product strategy through deep technical understanding. 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. Equivalent practical experience is equally valued.
  • Deep technical fluency in infrastructure systems. Ability to deeply review architecture docs, challenge design tradeoffs (e.g., state machine design, API boundaries), 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 strong L3-L5 engineers, establishing clear ownership boundaries and architectural doctrine. You will also hire 2-3 additional engineers to support this expanded scope.

Skills

Required:Distributed systems leadershipInfrastructure architecture reviewMulti-cloud / multi-region deploymentOperational rigor

Benefits

  • Benefits details provided via regional page linked in the posting.
Last updated Sep 10, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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