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# Senior Manager, Data Science

- **Company:** GitLab
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $152,800.0 - $259,200.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Programming Tools, Python (Programming Language), Machine Learning, SQL Databases, Snowflake, Gitlab, Data Management, Devsecops
- **Published:** November 7, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/px8j4135pq

## About the Role

* 10+ years in data science, product analytics, or a related field, including 3+ years managing data science or analytics teams in B2B SaaS or tech
 * Strong product sense and a track record as a trusted partner to Product and Engineering leaders
 * Exceptional communicator who makes complex problems and findings clear to any audience, from Product leaders to executives, and coaches others to do the same
 * Thrives in ambiguity: structures undefined problems, gathers the right information, and makes sound decisions on high-risk, cross-team issues
 * Courage to challenge: offers dissenting views, asks tough questions, and fosters inclusive debate
 * Deep expertise in statistics and experimentation, including hands-on use of quasi-experimental methods (difference-in-differences, synthetic control, propensity score matching)
 * Expert SQL (Snowflake preferred) and strong Python, with experience taking ML models to production
 * Fluent with AI tools, with sound judgment on when AI output can be trusted
 * Able to use GitLab, thrive in an all-remote, asynchronous company, model GitLab's remote working competencies, and work in line with GitLab's values

Nice to Have

 * Experience with developer tools, DevSecOps, or product-led growth products
 * Experience measuring adoption and quality of AI-powered product features
 * Thought leadership in data science or analytics, internally and externally
 * Advanced degree in a quantitative field

## Description

As Senior Manager, Data Science, you'll lead Product Data Science: a team of 6 Data Scientists within GitLab's data organization, reporting to the Director of Data Science. You have two mandates:

 * Drive product impact now. Set the analytical agenda for your product areas and make sure the team's work changes decisions.
 * Build the merged Data Science function. Define excellence for a Data Scientist who blends analytics and data science, and grow the team to that bar.

You lead mainly through others, and step in hands-on when it matters: reviewing a model, pressure-testing an analysis, or writing the query yourself.

What You'll Do

 * Set a long-range vision and roadmap for Product Data Science, and show the team how its goals connect to company strategy
 * Own prioritization and trade-offs across product areas, and adapt the team as priorities shift
 * Be the go-to partner for Product and Engineering leaders on complex and urgent questions, choosing the right approach: a deep dive, an experiment, or a production model
 * Raise risks and resource gaps early, and bring senior leaders clear options to drive timely decisions
 * Hire, coach, and retain a high-performing team: build career paths, act on team feedback, and make tough talent decisions when needed
 * Build a high-trust culture of urgency and accountability, where the team communicates openly, shares progress on a predictable cadence, and delivers quality results on time
 * Set standards for experimentation, causal inference, metric definition, and production modeling