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Peec AI is a Berlin-based Series A startup building analytics and intelligence tools for modern SEO and growth teams. The company has raised $29M from 20VC, Singular, and Antler, grew from $0 to $10M ARR in 15 months, and is expanding to the US.
You will own the experimentation surface and run tests end-to-end: landing pages, pricing, paid surfaces, programmatic pages, and the path from click to account creation. Unlike the existing growth engineer who focuses on product-side experimentation, this role points outward toward acquisition and customer acquisition channels.
You report to the Head of Growth and collaborate with the Growth PM, product-side growth engineer, performance marketer, and design team.
Key responsibilities:
- Build experimentation infrastructure including feature flags, assignment logic, and exposure logging
- Run acquisition experiments end-to-end: hypothesis formation, build, instrumentation, launch, analysis, and decision-making
- Own the acquisition experimentation surface as a product, setting roadmap and work priorities
- Build and scale programmatic page systems; own technical SEO from an engineering perspective
- Make conversion measurement trustworthy through event design and funnel definitions
- Create tooling that removes manual work from acquisition workflows
Requirements:
- Proven track record running acquisition experiments end-to-end (hypothesis through result analysis), not just advising or analyzing others' work
- B2B tech experience
- Strong production-level React and TypeScript skills (stack: React, Node.js, Next.js)
- SQL and analytics fluency (funnels, cohorts, event design)
- Experience building something programmatic (page systems, templated pages at scale, or internal tools)
- Proficiency shipping with Claude Code, Cursor, or equivalent AI-assisted development tools
- Strong product judgment
Bonus qualifications:
- Experience setting up an experimentation practice from scratch and scaling it into a real motion
- Product-led growth experience
- Programmatic SEO at meaningful scale
- Familiarity with experimentation platforms and feature flags (Statsig, GrowthBook, PostHog, or custom solutions)
- Background in SEO, search, MarTech, or AdTech
- Side projects or experiments you can demonstrate
