Sr. Product Manager, Databricks AI

Databricks Databricks · Data AI · San Francisco, CA · Product

Product Manager to define and drive the vision for Databricks' enterprise AI offerings, focusing on generative AI, agents, and new workloads. The role involves partnering with engineering and research to turn AI advancements into practical products, engaging with customers to uncover use cases, and shaping the long-term strategy for Databricks AI.

What you'd actually do

  1. 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
  2. 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.
  3. 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.
  4. 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.
  5. 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.

Skills

Required

  • 5+ years of product management or equivalent experience
  • 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)

Nice to have

  • exposure to building AI/ML or generative AI–powered products

What the JD emphasized

  • enterprise SaaS
  • developer platforms
  • AI/ML
  • generative AI
  • AI/ML or generative AI–powered products

Other signals

  • Define and drive the vision for how Databricks helps customers harness generative AI, agents, and new workloads
  • Partner with world-class engineering and research teams to transform cutting-edge AI advancements into practical, trusted tools
  • Engage directly with data and AI leaders to uncover new use cases — then design products that make the once-impossible accessible and repeatable
  • Define the strategy and principles that will guide Databricks AI for years