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 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 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/ vibe code lightweight data apps to enable faster decision-making

• 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

• work with modern data stacks

You don’t need to be a pure data engineer — but you’re not afraid of technical complexity.

Your communication skills

You enjoy:

• manage diverse stakeholders

• bring alignment

• translate challenges to growth 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:

1. Intro call (fit & expectations)

2. Deep dive with the hiring manager (Head of Data)

3. Practical discussion / case

4. 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.