[Hiring] Senior Manager, Data Science @GitLab

Role 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.

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.

Qualifications

• 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.

Requirements

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

Benefits

• Benefits to support your health, finances, and well-being.
• Flexible Paid Time Off.
• Team Member Resource Groups.
• Equity Compensation & Employee Stock Purchase Plan.
• Growth and Development Fund.
• Parental Leave.