Manager, Field Engineering - Strategic Digital Native Business
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will grow and develop a team of Solutions Architects driving adoption of the Databricks Platform at large digital native companies. You'll establish best practices across customer workload lifecycles, help team members succeed, travel to customer sites, and collaborate with sales, services, product and engineering.
Requirements
- 4+ years in the data space with a technical product
- 3+ years building and leading technical customer-facing teams
- History of building a territory, growing strategic accounts and exceeding targets
- Ability to inspire a team vision
- Experience managing workloads and consumption with sales, product and engineering
- Experience owning executive alignment in accounts
Responsibilities
- Hire and develop a team of technical Solutions Architects
- Adapt the SA team's skills and engagement model to digital native customers
- Meet or exceed targets by ensuring SAs qualify workloads, identify use cases and build proofs of concept
- Travel to customer sites for executive sessions and workshops
- Establish relationships across internal organizations
- Stay current with Data and AI trends
Benefits
- Annual performance bonus eligibility
- Equity