Sr. Product Manager, Databricks AI
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
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.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will define and drive the vision for how Databricks helps customers harness generative AI, agents and new workloads. You'll partner with engineering and research teams to turn AI advances into practical products, engage data and AI leaders to uncover use cases, guide the roadmap from concept to launch, and define long-term strategy.
Requirements
- 5+ years of product management or equivalent experience, preferably with enterprise SaaS or developer platforms
- Technical background in computer science, AI/ML or related fields
- Ability to partner with senior engineers and research leaders
- Track record bringing products from vision to launch in competitive spaces
- Analytical skills with SQL, product usage data and dashboards
- Excellent communication and storytelling skills
- Bonus: experience building AI/ML or generative AI products
Responsibilities
- Define and drive the vision for enterprise generative AI and agents
- Partner with engineering and research teams to turn AI advancements into products
- Engage data and AI leaders to uncover use cases and design products
- Guide the roadmap and engineering from concept to launch
- Define strategy and principles for Databricks AI
Benefits
- Annual performance bonus eligibility
- Equity eligibility