Engineering Manager, Serverless Compute Platform
Databricks · Bellevue, Washington · Engineering · listed June 22, 2026
The shape of it
Seniority
Manager
Where
Remote
Stated pay
$180,500 – $225,600 USD
Requirements listed
6
Length
853 words
In the posting’s own words
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.
What it asks for · 6
- 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.
What the job covers
- 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. 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.
Degree language
- BS or higher in Computer Science or a related field. Equivalent practical experience is equally valued.
Tools and skills named
Cloud & infra
- Serverless4×
- AWS2×
- Azure2×
- GCP2×
- Distributed systems
- Observability
Data
- Databricks2×
- Spark
Product & design
- Product management
- Product strategy
- User experience
Models & research
- GPU2×
Languages
- SQL
Ways of working
- On-call
Words the posting leans on
- service9×
- product7×
- compute5×
- engineers5×
- data4×
- deep4×
- e.g4×
- execution4×
- serverless4×
- experience3×
- infrastructure3×
- platform3×
- scale3×
- api2×
- aws azure2×
- boundaries2×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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