👋 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 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.

Remote General Jobs at GitBook

Remote General Jobs at GitBook