Product Data Science Lead — Remote, AI-Driven Growth

GitLab Inc.; United States; Remote; USD 153,000 - 259,000; Full time

Benefits offered by this job

Flexible Paid Time Off

Equity Compensation & Employee Stock-P

Growth and Development Fund

Parental Leave

Job summary

GitLab is seeking a Senior Manager, Data Science to lead Product Data Science and manage a team of six data scientists within GitLab's data organization. You will guide the analytical agenda, align with product and engineering, and help shape the future of data-driven decisions at GitLab.

This role emphasizes hands-on review, model evaluation, and strong leadership in a fully remote, asynchronous environment.

Qualifications

• 10+ years in data science, product analytics, or a related field.
• 3+ years managing data science or analytics teams in B2B SaaS or tech.
• Strong product sense and 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.
• 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.

Responsibilities

• 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

Skills

Data science leadership

SQL (Snowflake)

Python

Statistics & experimentation

Product partnering

Communication

ML deployment

Remote collaboration

Education

Advanced degree in quantitative field

Tools

Snowflake

GitLab tools

Job description

GitLab is seeking a Senior Manager, Data Science to lead Product Data Science and manage a team of six data scientists within GitLab's data organization. You will guide the analytical agenda, align with product and engineering, and help shape the future of data-driven decisions at GitLab.

This role emphasizes hands-on review, model evaluation, and strong leadership in a fully remote, asynchronous environment.