Senior Manager, Data Science

Details

As Senior Manager, Data Science, you will lead Product Data Science, a team of six Data Scientists within GitLab's data organization, reporting to the Director of Data Science. The role focuses on driving product impact and building a high-performing, merged Data Science function that combines analytics and data science.

Responsibilities

• Set the long-range vision and roadmap for Product Data Science and connect team goals to company strategy.
• Own prioritization and trade-offs across product areas and adapt the team as priorities shift.
• Partner with Product and Engineering leaders on complex and urgent questions, selecting the appropriate approach, including deep dives, experiments, or production models.
• Raise risks and resource gaps early and provide senior leaders with clear options for timely decisions.
• Hire, coach, and retain a high-performing team by building career paths, acting on feedback, and making talent decisions when needed.
• Build a high-trust culture of urgency and accountability with open communication, predictable progress updates, and timely delivery of quality results.
• Set standards for experimentation, causal inference, metric definition, and production modeling.
• Remain hands-on when needed by reviewing models, pressure-testing analyses, or writing queries.

Requirements

• 10+ years of experience in data science, product analytics, or a related field.
• 3+ years managing data science or analytics teams in B2B SaaS or technology.
• Strong product sense and a track record of partnering effectively with Product and Engineering leaders.
• Exceptional communication skills, including the ability to explain complex problems and findings to Product leaders and executives and coach others to do the same.
• Ability to structure ambiguous problems, gather relevant information, and make sound decisions on high-risk, cross-team issues.
• Willingness to challenge assumptions, ask difficult questions, and foster inclusive debate.
• Deep expertise in statistics and experimentation, including hands-on experience with quasi-experimental methods such as difference-in-differences, synthetic control, and propensity score matching.
• Expert SQL skills, preferably with Snowflake, and strong Python skills.
• Experience taking machine learning models into production.
• Fluency with AI tools and sound judgment regarding when AI output can be trusted.
• Ability to use GitLab and work effectively in an all-remote, asynchronous company in line with GitLab's remote working competencies and values.

Nice to Have

• Experience with developer tools, DevSecOps, or product-led growth products.
• Experience measuring adoption and quality of AI-powered product features.
• Internal or external thought leadership in data science or analytics.
• An advanced degree in a quantitative field.

Team

Product Data Science brings Data Science and Analytics together into one function. The team combines product judgment with expertise in SQL, Python, statistics, and machine learning to help Product and Engineering decide what to build, measure outcomes, and understand how customers receive value from GitLab. The team focuses on experimentation, causal inference, production models, and recommendations, including work related to AI-powered products and GitLab's consumption business.

Benefits

• Benefits supporting health, finances, and well-being.
• Flexible paid time off.
• Team member resource groups.
• Equity compensation and employee stock purchase plan.
• Growth and development fund.
• Parental leave.

GitLab is an equal opportunity and affirmative action employer. The role is remote, with location-based eligibility requirements potentially applying. The listed salary range applies to residents of the United States and excludes bonuses, equity, and benefits.