Joblaze summary

The Sr. Product Manager for Databricks Repos is responsible for shaping the vision and roadmap for the platform's source control and workflow features, focusing on enhancing the developer experience for data and AI teams. This role requires expertise in building developer-facing products and a hands-on approach to using these tools, with a strong emphasis on simplifying complex workflows. Ideal candidates will have over five years of product management experience and a passion for improving user experiences in technical environments. Databricks emphasizes collaboration across teams to drive product adoption and engagement.

Joblaze insights

Listed about 6 months ago — first seen on Joblaze April 14, 2026. Last confirmed on Databricks's careers page October 28, 2026.
Salary band is below the typical range for Product roles (median ~$185,000).
Starts above 12% of 100 comparable senior product roles in United States that list AI/ML we track (median $198,000 across 43 companies). See AI/ML salary trends
AI/ML appears in 38.1% of 396 comparable senior product roles in United States; Python appears in 2.8% of 396 comparable senior product roles in United States.

Quick facts

What's the salary range?: Databricks lists $156,600–$215,250 for this role.
How much experience is required?: At least 5 years of relevant experience for this Sr. Product Manager, Databricks Repos role.
What's the tech stack?: Joblaze extracted these technologies from the posting: AI/ML, Azure DevOps, GitHub, GitLab, Python, SQL.
What seniority level is this role?: Databricks targets senior candidates for this position.
Is this full-time or contract?: Full-time for this Sr. Product Manager, Databricks Repos role at Databricks.

From the original posting

RDQ427R130

At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of 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 and infrastructure across millions of virtual machines. And we're only getting started.

More about the team:

A great platform needs an exceptional developer experience. 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.

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. You will work across Workflows, Notebooks, Lakeflow, Data Management, and the broader Developer Experience teams to deliver an integrated and intuitive path to production.

The impact you will have:

You will design the end to end path to production experience for data and AI teams, from authoring to Git integration to CI and CD.
You will define how Repos integrates with GitHub, GitLab, and Azure DevOps to support branching, pull requests, reviews, conflict resolution, and deployment workflows.
You will partner with engineers to build AI assisted code management features such as automated code suggestions, recommended diffs, merge help, and deployment validation.
You will represent the voice of the customer and translate user feedback into workflow improvements that simplify source control and release management.
You will improve developer productivity and reliability by aligning Repos with Databricks Workflows, Lakeflow, and deployment surfaces.
You will help grow adoption of Databricks developer tools by working closely with solutions architects, customer success teams, and enterprise platform owners.
You will grow end-user engagement with Databricks developer tools working closely with sales and customer success teams.

What we look for:

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, must be comfortable using our own developer-facing products.
Passion for designing products that simplify user experience of technically complex products.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range

$156,600—$215,250 USD

About Databricks

Benefits

Standard company text repeated across Databricks's postings is omitted here.

Sr. Product Manager, Databricks Repos

Similar positions