Map our funnels, spot the constraints, and propose where to focus across acquisition, activation, retention and monetisation.
Each one with a clear mechanism, target segment, expected impact and success metric.
Use AI tools (e.g. Claude Code, Codex, Cursor, v0, Lovable, etc.) plus no-code (Webflow, Make, Retool, Zapier) to produce working prototypes, landing pages, onboarding flows, email sequences, internal tools, or whatever the experiment needs. Wire in the instrumentation to measure it.
Set up the tracking, run the analysis, document the learning — even when the answer is "this didn't work."
When something works, let’s do more of it and productionalise it so that we can reap ROI and grow revenues and profitability.
Maintain a public experiment backlog and reusable playbooks so the whole company gets sharper over time.

3+ years in growth, product, analytics or operator roles where you owned outcomes, not just outputs.
A track record of designing and running experiments that moved revenue, CAC, LTV or conversion — and the analytical confidence to interpret them properly (funnels, cohorts, basic stats, knowing when a result is real).
Hands-on fluency with AI tools for building, not just writing. You can go from idea to clickable prototype to instrumented test without waiting on engineering.
Comfort stitching together no-code, APIs, webhooks and lightweight backends to make experiments work end-to-end.
High ownership and a strong commercial instinct — you connect every test back to revenue, positioning or unit economics.

Growth Lead

Key skills