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GitBook is a platform for authoring, publishing, and maintaining documentation, used by 2M+ people and thousands of teams including Zoom, FedEx, Nvidia, Snyk, and Google. The company is profitable and backed by P9 Capital, Notion Capital, and Fly VC, with a distributed team across 15 countries.
You'll work at the intersection of data, product, and business in a highly autonomous role with significant freedom to identify needs, decide whether to build or buy solutions, and drive measurable impact.
Key responsibilities:
- Partner with product and engineering to identify opportunities, define metrics, run experiments, and influence the roadmap
- Transform ambiguous questions into analysis, insights, and actionable recommendations that improve product and company metrics
- Collaborate with the Head of Data on data architecture, foundations, and long-term vision
- Evolve data models, pipelines, instrumentation, and tooling as needs scale
- Make build-vs-buy decisions for data solutions, balancing sophistication with efficiency
- Enhance the existing internal data agent to increase utility and accessibility across the company
- Enable teams across GitBook to become more autonomous and effective in their use of data
You'll work with a modern data stack including GCP (BigQuery, Composer), dbt, Replit, Tableau/Count, Amplitude, and Segment. The role values product mindset, ownership, technical depth, collaboration across functions, and bias toward measurable impact.
Requirements:
- Strong SQL, data modeling, analytics, and modern data tooling expertise
- Comfortable learning and evaluating new tools and evolving data environments
- Ability to move between analysis, data foundations, and building practical solutions
- Product curiosity and understanding of user behavior
- Comfortable taking ambiguous problems and determining next steps
- Excellent collaboration and communication skills across product, engineering, growth, marketing, and leadership
- Bias toward impact and measurable outcomes
