Product Lead

About The Role

We're looking for a Product Lead with real technical depth and an AI-first way of working . You'll own a product area end to end: finding problems worth solving, shaping the solution, taking it from 0 to 1 and growing it from there.

You understand architecture, you've written code, you know how databases work, and you speak engineering fluently. Your main job is product. The technical depth is what lets you move faster and make better calls.

AI isn't a feature we're adding. It's how we work and how we build. Expect roughly 70% product and 30% engineering, with full accountability for results.

Your Mission

•Product direction: set the vision, strategy and roadmap for your area. Decide what to build, why, and how success is measured.

•0-to-1 delivery: take new products and features from problem discovery to launch and iteration.

•Discovery and validation: work directly with users and data to understand real problems, not assumed ones. Run interviews, usability tests and experiments before committing to build.

•Metrics and outcomes: define, instrument and track the KPIs for your area. Use product analytics to find friction, prioritise the highest-impact work, and shut down what doesn't work.

•Engineering partnership: understand architectural trade-offs, review technical approaches and unblock decisions. Write specs engineers actually want to read: clear, technical and opinionated.

•AI and automation: find where LLMs and agents create real product value, build the case, and ship it.

•Fast prototyping: validate ideas with AI tools (Claude, Cursor, Copilot, agents), scripts, no-code, or whatever gets you to the answer quickest.

•Hands-on work: write queries, dig into data pipelines, spin up prototypes, and open a PR when it makes sense.

•Prioritisation: balance user impact, business value, effort and regulatory constraints, and work closely with Engineering, Design, Analytics and business owners to ship continuously.

Your Profile

•5+ years in product management or product engineering with strong technical involvement, and a track record of taking products from 0 to live use with real users.

•AI-native: you use LLMs, vibe coding and agents daily, and you've applied LLMs or agentic AI to real products.

•Strong in Python or a similar language, enough to build things yourself. Comfortable with SQL, git, databases and evaluating system architecture.

•Fluent in product analytics and research: you define metrics, read data yourself, and validate through interviews, usability testing and experiments.

•Strong grasp of UX. You can take a complex flow and make it simple.

•Experience shipping with Design and Engineering in an agile environment.

•Clear communicator in English and self-directed. You can explain technical decisions to non-technical people, write specs engineers respect, and don't wait to be told what matters.

Nice to Have …

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