# Sr. Product Manager, Databricks Free Edition

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** San Francisco, CA
**Role:** Product Management
**Salary:** $153k – $210k/yr
**Experience:** 5+ years
**Skills:** Product Management, Databricks, Data Platforms, AI, User Experience, Cross-Functional Collaboration, Metrics Definition, Technical Proficiency, Customer Empathy, Storytelling
**Posted:** 2026-02-01

> Senior Product Manager shapes vision, strategy, and roadmap for Databricks Free Edition to make data and AI learning engaging and accessible. Collaborates cross-functionally, engages users, and defines success metrics; requires 5+ years PM experience in data/AI.

## Job Description

## The Impact You Will Have

- Help shape and advance the vision, strategy, and roadmap for Databricks Free Edition, contributing to experiences that make learning data and AI engaging and accessible.
- Collaborate with design, engineering, and education teams to deliver intuitive, hands-on learning journeys within Databricks.
- Work with academic and learning program partners to support data and AI education through Databricks.
- Coordinate with other product teams to ensure new features are thoughtfully introduced into Free Edition with the right user experience and guardrails.
- Engage directly with learners and users to understand their goals, identify friction points, and translate insights into impactful product improvements.
- Define and track success metrics that measure learning engagement and user outcomes.

## What We Look For

- **5+ years** of product management experience, preferably in data, AI, or developer-focused platforms.
- Strong customer empathy and passion for creating learning and onboarding experiences that empower users.
- Proven ability to drive cross-functional collaboration across engineering, design, and go-to-market teams.
- Excellent communication and storytelling skills, able to articulate vision, motivate teams, and simplify complex concepts.
- Technical proficiency to collaborate effectively with engineering on data and platform capabilities.

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