Gitbook
Growth & Data (IC)
2mo ago
WorldwideRemoteuser researchdata analysisexperimentationdata modelingdata pipelinesdashboarding
Data-driven role focused on driving product and business growth through experimentation, data analysis, and user research.
About the company
- We’re building the best platform for authoring, publishing, and maintaining world-class docs. Close to 40,000 sign-ups per month , over 1 00k Monthly Active Users , used by 2M+ people and thousands of teams like Zoom, FedEx, Nvidia, Snyk, and Google. We’re profitable , backed by P9 Capital, Notion Capital, and Fly VC, and our amazing team is spread across 15 countries in North America, Europe, and Asia.
About the product
- You think in terms of problems and outcomes , not just queries or models. You’re comfortable talking to stakeholders, pushing back, and making trade-offs.
Conditions
- You’ll be one of the few people at GitBook owning data as a product and a lever for growth .
- This is a role where:
- your work directly shapes decisions
- your scope is wide
- and your impact is visible
- 👥 Join GitBook at a pivotal time as we evolve our product and team. This is a chance to shape our product, craft, and culture .
How to apply
- We aim to keep things simple and relevant:
- Intro call (fit & expectations)
- Deep dive with the hiring manager (Head of Data)
- Practical discussion / case
- Final conversation with the team
Other
- This is not a traditional data role.
- You won’t just build dashboards. You won’t just maintain pipelines. You’ll own problems end-to-end , using data to drive product and business impact.
- Run user research (interviews, feedback loops, data analysis) and translate feedback into insights that allow for actionable growth opportunities
- Work directly with stakeholders to frame problems, challenge assumptions, and prioritize what matters
- Design and run experiments, analyses, and campaigns to drive growth and product adoption
- Build lightweight data applications or workflows to enable faster decision-making
- Continuously improve how we structure and expose data across the company, be highly involved with our data modeling layer
- Connect tools and systems (product, marketing, sales) into a coherent data ecosystem
- Push the team toward clarity and simplicity in how we measure and reason about the business
- You’ll operate across commercial and product functions— with a strong bias toward action and impact .
- Important to note is that this is a foundational role.
- Our stack today:
- GCP (BigQuery, Composer)
- dbt (Cloud / via Cursor)
- Replit (data apps & internal tooling)
- Tableau / Count (analysis & exploration)
- Amplitude, Segment (product & event data)
- We don’t expect you to know everything, but you should be comfortable owning and evolving a modern data stack .
- You can go from:
- messy question → structured problem
- raw data → usable model
- insight → shipped action
- You don’t get stuck in one layer.
- You know when to:
- build vs hack
- go deep vs move fast
- say no vs explore
- You optimize for impact, not perfection .
- You’re strong in:
- SQL and data modeling
- working with modern data stacks
- navigating data pipelines and systems
- You don’t need to be a pure data engineer — but you’re not afraid of technical complexity.
- You enjoy:
- managing diverse stakeholders
- bringing alignment
- translating challenges to growth promoting solutions
- Not a reporting role focused on dashboards
- Not a pure data engineering role
- Not a traditional analyst role doing long, static analyses
- You have experience with:
- a high growth start up environment, especially PLG
- working as or close to an analytics engineer / data generalist
- working in a product, marketing or growth-focused data role
- You enjoy:
- ambiguity
- ownership
- figuring things out from first principles
- talk to customers
- You’ve felt frustrated being:
- too far from business decisions
- stuck maintaining dashboards
- or limited to one layer of the stack