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 .