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You will partner with product and engineering teams to define metrics, run experiments, and influence the product roadmap. Additionally, you will evolve data models, pipelines, and internal tooling to turn data into actionable insights.
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.
We’re looking for someone to make data a core lever for better product and business decisions.
This is a highly autonomous role. You’ll have the freedom to identify what we need, decide whether to build or buy, and turn data into measurable impact.
You’ll work at the intersection of data, product, and business, partnering closely with teams across GitBook.
Work with product and engineering to identify opportunities, define metrics, run experiments, and influence the roadmap
Turn messy questions into analysis, insights, and actions that improve product and company metrics
Collaborate with the Head of Data on our data architecture, foundations, and long-term vision
Evolve our data models, pipelines, instrumentation, and tooling as our needs change
Decide when to build, buy, or use lightweight solutions to solve data problems efficiently
Take our existing internal data agent to the next level, making it more useful and accessible across the company
Help teams across GitBook become more autonomous and effective in how they use data
You’ll have the freedom to shape both what we build and how we work with data.
Our stack today includes:
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. What matters is that you’re comfortable learning, evaluating tools, and evolving a modern data environment.
Product mindset: You’re curious about users and how the product works. You want to understand behavior, find opportunities, and see your work translate into better product decisions and measurable outcomes.
Ownership & judgment: You’re comfortable taking an ambiguous problem and figuring out what to do next. You know when to go deep, move fast, build, buy, or keep things simple.
Technical depth: You’re strong with SQL, data modeling, analytics, and modern data tooling. You can move comfortably between analysis, data foundations, and building practical solutions.
Collaboration: You work well across product, engineering, growth, marketing, and leadership. You can challenge assumptions, communicate clearly, and bring people along.
Bias for impact: You care about what changes because of your work — not just what gets shipped.
You’ll have a broad scope and a lot of autonomy.
Your work will directly influence:
Product and company metrics
Product priorities and roadmap decisions
Experiments and growth initiatives
Our data foundations and architecture
How people across GitBook use data and AI
If you like owning problems, shaping the solution, and seeing your work directly impact the product, you’ll have a lot of room to make a difference here.
👥 Join GitBook at a pivotal time as we evolve our product and team. This is a chance to shape our product, craft, and culture.
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