GitLab - Senior Manager, Data Science
Requirements
• 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 • 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 • Product Data Science brings Data Science and Analytics together into one function. Our Data Scientists are business partners first, pairing strong product judgment with deep skill in SQL, Python, statistics, and machine learning. We help Product and Engineering decide what to build, measure what worked, and understand how customers get value from GitLab. • The opportunity is growing fast. AI is driving growth in GitLab's consumption business, creating new ways for data to drive growth. As AI takes over routine reporting, the team focuses on the hard problems: experimentation, causal inference, production models, and recommendations leaders act on. • The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
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
Benefits
• $152,800—$259,200 USD • How GitLab Supports Full-Time Employees • 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 • Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. • Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. • Country Hiring Guidelines:
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