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 customers use generative AI, agents and new AI workloads. You will partner with engineering and research teams to turn AI advancements into practical products, engage with data and AI leaders to uncover use cases, and guide the roadmap from concept to launch.
Requirements
- 5+ years of product management or equivalent experience, preferably with enterprise SaaS or developer platforms
- Strong technical background in computer science, AI/ML or related engineering fields
- Ability to partner with senior engineers and research leaders
- Track record of bringing products from vision to launch
- Strong analytical skills with SQL, product usage data and dashboards
- Excellent communication and storytelling skills
- Bonus: exposure to building AI/ML or generative AI products
Responsibilities
- Define and drive the vision and strategy for Databricks AI
- Partner with engineering and research teams to turn AI advancements into products
- Engage with data and AI leaders to uncover new use cases
- Guide the roadmap and engineering from concept to launch
- Communicate the story of Databricks AI to stakeholders
Benefits
- Annual performance bonus eligibility
- Equity