Engineering Manager, Serverless Compute Platform

Databricks Inc.; Bellevue (WA); On-site; USD 180,500 - 225,600; Full time

Benefits offered by this job

Health, dental, and vision insurance

Retirement benefits

Equity options

Comprehensive benefits package

Job summary

Databricks Inc. in Bellevue, Washington is seeking an Engineering Manager for the Serverless Compute Platform. You will oversee a new service's development and manage a team of engineers. Responsibilities include launching the Execution Sandbox Service and ensuring strong execution health.

The ideal candidate will have over 5 years of experience managing distributed systems, a BS in Computer Science, and a bias toward operational rigor. A competitive salary ranging from $180,500 to $225,600 is offered.

Qualifications

• 5+ years managing engineers building and operating distributed systems in production.
• Experience with multi-cloud or multi-region service deployment (AWS, Azure, GCP).

Responsibilities

• Inherit and build out the full vision of an engineering team.
• Launch the Execution Sandbox Service from inception to production scale.
• Unify compute management paths into a single provisioning service.

Skills

Managing distributed systems

Technical fluency in infrastructure systems

Operational rigor

Building and scaling teams

Education

BS or higher in Computer Science or related field

Job description

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.