# Sr. Product Manager, Databricks Free Edition

**Company**: Databricks
**Location**: Seattle, Washington
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $148,800-$204,525 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8235785002
**Canonical**: https://yubhub.co/jobs/job_a99745c9-31d

## Description

We're looking for a Senior Product Manager to join the team driving Databricks Free Edition. You'll collaborate closely with a cross-functional team of product managers, engineers, and designers to create experiences that make learning data and AI engaging, accessible, and impactful.

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.

## Skills

### Required
- product management
- data
- AI
- developer-focused platforms
- customer empathy
- cross-functional collaboration
- communication
- storytelling
- technical proficiency