Sr. Product Manager, Databricks Repos

About the Role At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from building the next mode of transportation to accelerating medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers and customer‑obsessed, we leap at every opportunity to tackle technical challenges, from designing next‑gen UI/UX for interfacing with data to scaling our services across millions of virtual machines. More About the Team Databricks Repos is the source‑control and workflow foundation that powers how data engineers, ML engineers, and analysts manage code, collaborate with teammates, and ship data and AI applications to production. The Repos team builds the version‑control experience inside Databricks and defines how users connect their Git providers, manage code changes, track lineage, review pull requests, and promote code into jobs, pipelines, and deployments. Job Overview We are responsible for creating a simple, reliable, AI‑native workflow that blends the best of Git‑style development with the unique needs of data and AI teams. Our mission is to provide a smooth authoring‑to‑production journey across notebooks, SQL, Python, and Lakeflow, all in a unified platform. You will drive the vision and roadmap for Databricks Repos and define how developers build, test, review, and ship code inside Databricks, working across Workflows, Notebooks, Lakeflow, Data Management, and the broader Developer Experience teams to deliver an integrated and intuitive path to production. Responsibilities & Impact You will drive the vision and roadmap for Databricks Repos and define how developers build, test, review, and ship code inside Databricks. Design the end‑to‑end path to production experience for data and AI teams, from authoring to Git integration to CI and CD. 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 such as automated code suggestions, recommended diffs, merge help, and deployment validation. Represent the voice of the customer and translate user feedback into workflow improvements that simplify source control and release management. Improve developer productivity and reliability by aligning Repos with Databricks Workflows, Lakeflow, and deployment surfaces. Help 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 working closely with sales and customer success teams. Qualifications 5+ years of experience as a Product Manager working on platform products. Experience building developer‑facing products (tools, frameworks, SDKs) with tens or hundreds of thousands of users. Experience being a hands‑on builder; comfortable using our own developer‑facing products. Passion for designing products that simplify the user experience of technically complex products. Pay Range & Benefits Zone 2 Pay Range: $133,000 — $186,100 USD . The total compensation package for this position may also include eligibility for annual performance bonus, equity, and benefits listed below. Benefits: Databricks strives to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit the benefits portal . About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark®, Delta Lake and MLflow. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics. We do not discriminate on the basis of any protected group status under any applicable law. #J-18808-Ljbffr