Growth & Data (IC)

Growth & Data (IC) LocationEurope (+/- 3 hours)Employment TypeFull timeLocation TypeRemoteDepartmentData👋 A little about usWe’re building the best platform for authoring, publishing, and maintaining world-class docs. Close to 40,000 sign-ups per month, over 100k 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 opportunitiesWork directly with stakeholders to frame problems, challenge assumptions, and prioritize what mattersDesign and run experiments, analyses, and campaigns to drive growth and product adoptionBuild/ vibe code lightweight data apps to enable faster decision-makingConnect tools and systems (product, marketing, sales) into a coherent data ecosystemPush the team toward clarity and simplicity in how we measure and reason about the businessYou’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 valueYour product and business mindsetYou 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-endYou can go from:messy question → structured problemraw data → usable modelinsight → shipped actionYou don’t get stuck in one layer.Your pragmatismYou know when to:build vs hackgo deep vs move fastsay no vs exploreYou optimize for impact, not perfection. Your technical depthYou’re strong in:SQL and data modelingwork with modern data stacksYou don’t need to be a pure data engineer — but you’re not afraid of technical complexity. Your communication skillsYou enjoy:manage diverse stakeholdersbring alignmenttranslate challenges to growth solutions🚫 What this role is notNot a reporting role focused on dashboardsNot a pure data engineering roleNot a traditional analyst role doing long, static analyses✨ You might be a good fit ifYou have experience with:a high growth start up environment, especially PLGworking as or close to an analytics engineer / data generalistworking in a product, marketing or growth-focused data roleYou enjoy:ambiguityownershipfiguring things out from first principlestalk to customersYou’ve felt frustrated being:too far from business decisionsstuck maintaining dashboardsor limited to one layer of the stack📋 Hiring processWe aim to keep things simple and relevant:Intro call (fit & expectations)Deep dive with the hiring manager (Head of Data)Practical discussion / caseFinal 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 decisionsyour scope is wideand 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.Apply for this Job