Senior Manager Engineering AI BI

Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.

Series F+0 current maintainers0 active leadsTeam intelligence

Maintainer signals as of 9/25/2026

160 Spear Street, Suite 1300, San Francisco, CA 94105, United States
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.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will lead multiple full-stack and backend engineering teams, subject-matter experts, and managers. You will recruit and develop talent, establish processes that deliver product strategy, build high-quality operable software, and manage technical debt and long-term architecture decisions while balancing the product roadmap.

Requirements

  • Demonstrate talent hiring and development experience
  • Create efficient processes that increase velocity and quality
  • Have 6+ years of experience managing multiple teams that build and operate SaaS products and systems
  • Have 10+ years of experience with distributed systems and building products, platforms, and services
  • Have experience scaling engineering teams from 15 to 35+ people
  • Have a BS or higher in Computer Science or a related field
  • Have a strong track record of attracting, hiring, and retaining engineering talent
  • Have experience managing distributed teams across multiple locations

Responsibilities

  • Lead multiple engineering teams, subject-matter experts, and managers
  • Recruit and develop engineering talent
  • Build processes to implement product vision and strategy
  • Build high-quality software that is easy to operate
  • Manage technical debt and long-term architecture decisions
  • Balance the product roadmap

Benefits

  • Eligibility for an annual performance bonus
  • Eligibility for equity