RDQ427R100
The Serverless Compute Platform is the backbone of Databricks' fastest-growing products. It is powering massive growth in our existing product lines (e.g. Generic Compute, SQL) as well as new and emerging products (e.g. Lakewatch, interactive compute). Behind this hockey stick 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.
- You will inherit a team of strong senior ICs who have already delivered an initial preview. Your job is to build out the full vision, guide evolution, and scale the team.
- You will ensure strong execution health and that the service launches with production-grade reliability spanning a range of use cases, e.g. GPU onboarding, UDF generalization, and managed REPL.
The impact you will have:- Own a 01 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.
What we look for:- 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.
Pay Range TransparencyDatabricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Local Pay Range
$180,500-$225,600 USD
BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
