Growth & Data (IC)

👋 A little about us 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. 🙌 What will you be doing? 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. 🧰 What environment will you be working in? 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 . 🧠 What we value Your product and business mindset 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. Your ability to operate end-to-end You can go from: messy question → structured problem raw data → usable model insight → shipped action You don’t get stuck in one layer. Your pragmatism You know when to: build vs hack go deep vs move fast say no vs explore You optimize for impact, not perfection . Your technical depth 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. Your communication skills You enjoy: managing diverse stakeholders bringing alignment translating challenges to growth promoting solutions 🚫 What this role is not Not a reporting role focused on dashboards Not a pure data engineering role Not a traditional analyst role doing long, static analyses ✨ You might be a good fit if 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 📋 Hiring process 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 🚀 Why join us? 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 .