# Sr. Product Manager, Databricks AI

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Seattle, WA
**Role:** Product Management
**Salary:** $145k – $200k/yr
**Experience:** 5+ years
**Skills:** AI/ML, Generative AI, SQL, Product Management, SaaS, Developer Platforms
**Posted:** 2026-02-01

> 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.

## Job Description

## 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.

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