Databricks
Manager
Lead a full-stack engineering team on Databricks' AI/BI org building Dashboards, Genie, and Unity Catalog Business Semantics
Databricks is hiring an Engineering Manager to grow the Data Visualization and Unity Catalog Business Semantics teams within its AI/BI org — the group behind Dashboards, Genie (text-to-SQL), Databricks One, and business semantics governance. The role requires 2+ years managing teams in a SaaS environment and 5+ years with distributed systems, reporting to a Senior Manager of Engineering, with a track record of scaling teams from 5 to 20+.
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Free · a live voice mock calibrated to this exact role
What this interview tests
- Scaling engineering teams (5 to 20+ engineers)
- Hiring, developing, and retaining engineering talent
- Balancing technical debt against product roadmap
- Translating product vision into engineering execution
- Cross-functional partnership with PM and Customer Success
- Distributed systems and SaaS platform fundamentals
Common question themes
Tell me about scaling a team from ~5 to 20+ engineers — what broke and how you fixed it
Describe a hire or promotion decision you drove and the signal behind it
How do you balance managing technical debt against shipping the product roadmap
Walk through translating ambiguous product strategy into an engineering plan
Tell me about resolving a disagreement with a PM or CS partner over priorities
How have you built processes that increased both velocity and quality on your team
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