Lead Product Manager

Overview

In this Lead Product Manager role, you will own Prescribe, the AI-powered guidance system that matches learners with the right programme and enables a confident start. You will partner with design, data, and GTM/fulfilment to drive conversion, retention, and programme fit at scale. You’ll shape AI-first experiences, govern eligibility rules, and orchestrate the end-to-end journey from recommendation to commitment. This is a high-impact, cross-functional role shaping a product-powered, AI-native platform at a fast-growing edtech company.

Pay / Benefits

• 27 days holiday plus 5 days for life events, volunteering, wellbeing
• Private medical insurance with Bupa and medical cashback
• Gym membership and wellbeing resources (Wellhub)
• Hybrid work: three days in office, most roles
• Work-from-anywhere up to 10 days/year
• Weekly catch-ups and collaborative culture

Responsibilities

• Own AI-native product experiences and define where AI adds value, with guardrails for trustworthiness.
• Translate learner behavior into strategic direction and build evaluation mechanisms.
• Own prescription and eligibility logic linking learner skills to programmes and levy funding, with configurable compliance rules.
• Ensure every recommendation is explainable and challenger-friendly for learners and customers.
• Manage the journey from recommendation to commitment, identifying high-leverage drop-off points and guiding experimentation.
• Collaborate with GTM, Operations and Data to improve attribution and funnel quality.
• Own conversion metrics (prospect to committed learner) and champion hypothesis-led experimentation.
• Co-own strategy and roadmap with the Senior Engineering Manager; involve cross-functional teams early; represent Prescribe in leadership roadmap discussions.

Key requirements

• Substantial PM experience with a track record of improving growth metrics (acquisition, activation, retention, automation).
• Strong data skills: analysis, cohort studies, dashboards.
• Experience designing and running rigorous A/B and multivariate experiments.
• Strong UX instincts and focus on sustainable long-term strategies.
• Ability to align cross-functional teams without formal authority (commercial, GTM, operations).
• Hands-on experience building AI/LLM-powered features to generate or personalise content.
• AI Builder mindset: using AI to drive repeatable systems and performance improvements.

• Cross-functional collaboration
• Decisiveness in ambiguity
• Data-driven decision making
• AI/LLM-powered product features
• Cohort analysis and dashboards
• A/B and multivariate experimentation

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