Sr. Manager, Engineering - AI/BI
Mountain View · San Francisco · USD 228,600-314,250 / year · 6+ years experience · Posted Oct 2, 2026
At a glance
- Experience
- 6+ years experience
- Location
- Mountain View · San Francisco
- Salary
- USD 228,600-314,250 / year · OTE
About Databricks
- Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
About the role
- Databricks is seeking a dedicated Senior Engineering Manager to help grow the AI/BI Dashboard product and service platform.
- This role involves tackling challenging fullstack and backend problem spaces, such as making agentic dashboard authoring and AI insights fast and performant.
- You will report directly to the Director of Engineering and lead multiple talented engineering teams of full stack/backend engineers, SMEs, and managers.
Responsibilities
- Lead multiple talented engineering teams of full stack/backend engineers and SMEs as well as managers focused on the AI/BI initiatives.
- Oversee sustained recruitment of top-tier IC talent and Managers, and developing talent across the teams.
- Build processes to implement product vision and strategy, according to organizational goals and priorities.
- Build software that is not just high quality, but easy to operate.
- Manage technical debt, including long-term technical architecture decisions, and balance product roadmap.
Requirements
- 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+
- BS or higher in Computer Science, or a related field
Benefits
- Annual performance bonus
- Equity
- Comprehensive benefits and perks
Skills
- Distributed Systems
- SaaS
- AI
- LLM