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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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

How candidates describe it

Real Manager interview stories — retold from candidates' public write-ups, with sources.

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