Sr. Manager, Engineering - AI/BI

Databricks · Mountain View, California; San Francisco, California · Engineering · listed October 2, 2026

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The shape of it

Seniority
Manager
Experience asked
6–10 years
Where
Not stated
Stated pay
$228,600 – $314,250 USD
Requirements listed
4
Length
900 words

In the posting’s own words

We're seeking a dedicated Senior Engineering Manager who will help grow the AI/BI Dashboard product and service platform. This means tackling a number of challenging fullstack and backend problem spaces, for example making agentic dashboard authoring and AI insights fast and performant while maintaining high quality, enabling the creation and consumption of Dashboards and BI features across the entire Databricks platform and scaling our service to the next order of magnitude of users. This role also requires experience in applying AI and LLM technology directly into the product surface and guiding the team to strike a balance between pushing up quality while maintaining performance and cost.

What it asks for · 4

  • 6+ years of experience in managing multiple teams that build and operate products and systems in a SaaS environment
  • 10+ years of experience with distributed systems and building products, platforms and services and best in class application experience which serve multiple product teams and customers
  • Have experience in scaling engineering teams from 15 to 35+
  • Strong track record of attracting, hiring, and retaining top engineering talent

Tools and skills named

Data
  • Databricks3×
Product & design
  • Roadmap
  • User experience
Cloud & infra
  • Distributed systems
Go to market
  • SaaS
Models & research
  • LLM
Ways of working
  • Slack

Words the posting leans on

  • product10×
  • engineering6×
  • experience6×
  • dashboard5×
  • data5×
  • service5×
  • multiple4×
  • platform4×
  • quality4×
  • talent4×
  • build3×
  • consumption3×
  • customers3×
  • infrastructure3×
  • managers3×
  • scaling3×

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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How this page was made

An automated read of a public job posting, fetched October 2, 2026 and last changed by Databricks on October 2, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.