Sr. Product Manager, Databricks AI
Drive product vision and strategy for Databricks AI platform, partnering with engineering and research to transform AI breakthroughs into scalable enterprise tools. Requires 5+ years PM experience, strong technical background in AI/ML, and SQL analytics skills.
About the job
More about the Team
The Databricks AI team is at the forefront of shaping how enterprises leverage AI. Our mission is to create foundational capabilities that empower customers to develop agents and models, orchestrate complex workflows, and seamlessly integrate AI into their data and applications.
The impact you will have
- Shape the future of enterprise AI: Define and drive the vision for how Databricks helps customers harness generative AI, agents, and new workloads that don’t exist yet
- Turn breakthroughs into products: Partner with world-class engineering and research teams to transform cutting-edge AI advancements into practical, trusted tools for millions of users.
- Expand what’s possible for customers: Engage directly with data and AI leaders to uncover new use cases — then design products that make the once-impossible accessible and repeatable.
- Be the voice of vision and execution: From concept to launch, you will inspire the roadmap, guide engineering, and tell the story of how Databricks AI is changing what customers can achieve.
- Build for scale and longevity: Define the strategy and principles that will guide Databricks AI for years, even as the industry evolves at unprecedented speed.
What we look for
- 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 (educational or professional).
- Proven ability to partner with senior engineers and research leaders, going deep on technical concepts while maintaining clarity on customer value.
- Track record of bringing products from vision to launch in fast-moving, competitive spaces.
- Strong analytical skills—comfortable working with SQL, product usage data, and operational dashboards.
- Excellent communication and storytelling skills to engage diverse stakeholders (customers, engineering, go-to-market).
- Bonus: exposure to building AI/ML or generative AI–powered products.
Skills
AI/ML, Generative AI, SQL, Product Analytics, SaaS, Developer Platforms
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