Sr. Manager, Engineering - AI/BI
Databricks· Engineering
Hybrid (Mountain View, San Francisco)$228.6k - $314.3kFull-timePosted 2w ago
About the role
Senior Engineering Manager responsible for growing the AI/BI Dashboard product and service platform, leading multiple full-stack/backend teams, applying AI/LLM capabilities to the product surface, and balancing quality, performance, and cost in a SaaS environment.
Responsibilities
- Lead multiple talented engineering teams of full stack/backend engineers, SMEs, and managers focused on AI/BI Dashboard initiatives.
- Oversee sustained recruitment of IC talent and managers, and develop talent across the teams.
- Build processes to implement product vision and strategy aligned with organizational goals and priorities.
- Build software that is high quality and easy to operate.
- Manage technical debt, including long-term architecture decisions, and balance product roadmap.
Qualifications
- 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 serving multiple product teams and customers
- Experience in scaling engineering teams from 15 to 35+
- 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
- Great at hiring and developing talent
- Great at creating efficient processes that increase velocity and quality
Skills
Required:Full-stack engineering managementDistributed systemsTalent recruitment and people developmentCross-functional collaboration
Benefits
- Benefits information available via regional link in the job description
Last updated Oct 8, 2026. Interested? Apply on the company site.
About Databricks
Leading Data and AI Platform for Enterprises
Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.
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