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Databricks

Sr. Manager, Engineering - AI/BI

Databricks
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senior full-time $228,600-$314,250 USD Mountain View, California; San Francisco, California

First indexed 3 Oct 2026

Description

At Databricks, we are passionate about helping data teams solve the world's toughest problems , from making the next mode of transportation a reality to accelerating the development of medical breakthroughs.

We are the “AI/BI” Dashboard team responsible for making Databricks the best product for business users to create, share and consume data insights. We own the entire product stack end-2-end: the Dashboard creation and consumption UI, the query and permissions layer, the control plane for the service, the consumption surface across web, mobile and Desktop as well as the distribution infrastructure across various channels (e-Mail, Mobile, Slack/Teams etc.).

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.

The main responsibilities include:

  • Leading multiple talented engineering teams of full stack/backend engineers and SMEs as well as managers focused on the above initiatives.
  • Overseeing sustained recruitment of top-tier IC talent and Managers, and developing talent across the teams.
  • Building processes to implement product vision and strategy, according to organisational goals and priorities.
  • Building software that is not just high quality, but easy to operate.
  • Managing technical debt, including long-term technical architecture decisions, and balancing product roadmap.

Requirements:

  • Great at hiring and developing talent
  • Great at creating efficient processes that increase velocity and quality
  • 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+
  • Team player that will work with other departments (PM, CS) and engineering teams.
  • BS or higher in Computer Science, or a related field
  • Strong track record of attracting, hiring, and retaining top engineering talent
  • Experience managing distributed teams across multiple locations.
  • Adaptability and resilience in a fast-paced, rapidly evolving tech environment

Pay Range Transparency: The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.

Zone 1 Pay Range: $228,600-$314,250 USD

This listing is enriched and indexed by YubHub. To apply, use the employer's original posting: https://job-boards.greenhouse.io/databricks/jobs/8862144002