Product Analytics Manager (Europe, Remote)

(This is an analytics role, not a Product Manager role.)

You'll own our understanding of how people actually use our product. We're a B2B SaaS startup, live with real customers, and there's more happening in our product data than anyone currently has time to look at. Your job is to find the patterns — what makes a customer stick, what quietly loses them, where the next unit of revenue is hiding — and turn those into decisions the team acts on.

This is a high-ownership role. You'll work directly with Product, Design, Engineering, Marketing, and Customer Success, and your findings will shape what gets built.

What you'll do

• Own the picture of the customer journey end to end — first visit through long-term account — and know it well enough to notice when something changes before anyone reports it
• Investigate why metrics move. Chase anomalies to root cause rather than reporting that they happened
• Find the behaviors that separate customers who stay and expand from those who don't, and turn that into concrete recommendations for activation, engagement, conversion, retention, and expansion
• Design experiments properly: define success metrics and guardrails before launch, size them honestly, and say clearly what a result does and doesn't prove
• Pair the numbers with the people — sit in on customer calls, read support tickets, talk to CS — because the data tells you what happened and rarely tells you why
• Make the case for what should change. Bring evidence, propose a call, and be willing to argue that something on the roadmap isn't worth building
• Keep the company oriented with dashboards and analysis people can use without asking you first

What we're looking for

Must have:

• 4+ years in product analytics, with a track record of insights that changed what a team built
• B2B SaaS (minimum $10M ARR) product analytics experience — you understand account-level health vs. individual user adoption, multi-seat behavior, and what expansion and churn signals look like when the buyer and the user are different people
• Fluency with a product analytics platform — Amplitude, Mixpanel, PostHog, or similar — and comfort with SQL for the questions the tool can't answer
• Real depth in funnels, cohorts, retention, segmentation, feature adoption, and user journey analysis
• Experience designing and evaluating experiments, including knowing when a result isn't conclusive
• Strong product intuition — you form opinions about users and can defend them with evidence
• Clear writing and speaking. You can walk a non-technical stakeholder from context to options to recommendation without losing them
• Genuine curiosity. You go looking for things nobody asked you to look for

Nice to have:

• Self-serve or product-led startup growth experience
• Familiarity with event instrumentation and tracking design
• Comfort with modern data tooling (warehouse, dbt) and AI-assisted analysis workflows