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Databricks

Builds cloud software for data analysis and AI

Senior Product Manager - Databricks Repos

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeSeattle, WA, USAIn-person

About the Job

Requirements

  • At least 5 years of experience as a Product Manager working on platform products.
  • Experience building developer-facing products, such as tools, frameworks, or software development kits, with tens or hundreds of thousands of users.
  • Hands-on builder experience and comfort using developer-facing products.
  • Passion for designing products that simplify the user experience of technically complex products.

Responsibilities

  • Design the end-to-end path-to-production experience for data and AI teams, from authoring through Git integration to continuous integration and continuous deployment.
  • Define how Repos integrates with GitHub, GitLab, and Azure DevOps to support branching, pull requests, reviews, conflict resolution, and deployment workflows.
  • Partner with engineers to build AI-assisted code management features, including automated code suggestions, recommended diffs, merge assistance, and deployment validation.
  • Represent the voice of the customer and translate user feedback into workflow improvements that simplify source control and release management.
  • Align Repos with Databricks Workflows, Lakeflow, and deployment surfaces to improve developer productivity and reliability.
  • Grow adoption of Databricks developer tools by working closely with solutions architects, customer success teams, and enterprise platform owners.
  • Grow end-user engagement with Databricks developer tools by working closely with sales and customer success teams.

About the Company

Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$32.1B
Headquarters
San Francisco, CA
Founded
2013

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