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Job Description
The AI orchestration of your wildest imagination.
n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact.
Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve:
- Cultivated a community of more than 650,000 active developers and builders
- Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects
- Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation
That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register.
We’re in a defining moment of an incredible journey. Come and build with us.
Join n8n as the dedicated data partner to a product team that's already hands-on with data.
Our PMs are technical and data-literate. They write SQL, run their own analyses, and know their corner of the product deeply. What they're missing is a dedicated analyst counterpart - someone who takes the data work further than they have time for, brings the outside perspective they can't get from inside their squad, and pairs with them on designing and improving the product.
That's the role. You'll be embedded with a product squad as the PMs' dedicated data partner, working on the deeper analyses, the cross-cutting views, and the questions that shape what gets built - with activation and adoption of n8n as your headline focus.
🎯 Your mission: be the dedicated data partner that helps a hands-on product team go deeper, see further, and design better products.
🤝 BE THE PMS' DATA PARTNER
- Our PMs already do their own analyses. You're the counterpart who takes the work deeper and broader than they can in a sprint.
- Take on the analyses they don't have time for, accelerate the ones they're running, and pair on the questions that matter most.
- Free PMs to focus on building product by being the dedicated owner of the data work that supports it.
🔭 BRING PERSPECTIVE THEY CAN'T GET THEMSELVES
- Cross-product cuts, segment views, comparative analyses across the user base — the outside lens that's hard to see from inside a single squad.
- Challenge assumptions, including the ones PMs are most attached to.
- Surface the analyses nobody asked for but everyone needed.
🚀 HELP DESIGN AND IMPROVE THE PRODUCT
- Co-create hypotheses with PMs and pair on how to test them properly.
- Activation and adoption are the headline: how users get to value, what drives lasting use, where we're losing them, and what to build to fix it.
- Go deep on retention drivers, cohort dynamics, and the leading indicators of expansion. Connect feature-level analyses back to the bigger picture.
🗣 INFLUENCE THE ROADMAP WITH A REAL POV
- Sit in product planning as a peer. Bring strong, data-backed opinions about what we should build next — and what we shouldn't.
- Push back constructively. Translate complex analysis into crisp recommendations that move decisions.
🧪 RAISE THE BAR ON RIGOR
- Bring statistical depth where it matters and keep it out of the way when it doesn't.
- Make experiments and analyses trustworthy — well-designed, properly powered, honestly read.
- Partner with PMs and Engineering on event instrumentation so the data the team relies on is solid.
REQUIREMENTS
MUST-HAVES
- 📊 Senior product analytics chops: 5+ years analyzing product usage in B2B SaaS, ideally in a PLG environment.
- 🤝 Partner mindset: You thrive working alongside technical, hands-on PMs as a counterpart — making them better and being made better by them.
- 🚀 Activation & adoption expertise: You've owned the analysis behind onboarding funnels, time-to-value, feature adoption, and the behavioral signals that separate stuck users from successful ones.
- 🔎 Depth, not just breadth: You're known for going deeper than the obvious — behavioral segmentation, retention drivers, feature impact done properly.
- 🤓 Real applied statistics: Not "I took a stats class" — you can spot a biased metric, an underpowered test, or a confounder, and explain it clearly to a non-technical stakeholder.
- 🧭 Opinionated and high-agency: You don't wait for tickets. You see what's worth analyzing, you do it, and you bring a clear recommendation — even when the team didn't ask.
- 🧪 Solid experimentation skills: You can design and read A/B tests properly. It's one tool in your kit, not the only one.
- 🔧 Instrumentation fluency: You've defined event taxonomies and partnered with engineering on tracking specs.
- 💻 Technical toolkit: Expert SQL; comfort with modern stack (BigQuery, dbt, Metabase or equivalent).
- 🗣️ Communication that lands: You write memos PMs read end-to-end and present findings that change decisions.
NICE-TO-HAVES
- 👾 Devtool / OSS / technical product experience: You get how technical audiences adopt and use products.
- 🐍 Python for analysis: pandas, statsmodels, scipy when SQL isn't enough.
- 🔗 Causal inference: For the questions A/B testing can't answer.
- 🧮 Experimentation platforms: GrowthBook, Statsig, Eppo, or similar.
WHY JOIN US?
At n8n, your work won't disappear into a slide deck. You'll pair with a technical, data-literate product team that already does its own analysis and genuinely values having a real analyst counterpart. You'll be embedded, trusted, and in the room where decisi…
AI Stack
Skills Required
RAG
Data + AI
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