At a glance
- Employment
- Full-time
- Workplace
- Hybrid
- Location
- London
About the role
- The Lead Product Manager will own 'Prescribe', the product responsible for matching prospective learners with the right programmes and guiding them through to a successful start.
- This role focuses on growth, conversion metrics, and leveraging AI to create personalized, trustworthy, and compliant user experiences.
- You will work as a strategic partner to a Senior Engineering Manager and collaborate closely with cross-functional teams including GTM, Operations, and Data.
Responsibilities
- Shape new conversational, AI-first experiences for learners and customers.
- Define evaluation and guardrails for AI features to ensure trustworthiness.
- Own the logic connecting learner skills to programmes and levy funding eligibility.
- Collaborate with Legal, Compliance, and Fulfilment to make eligibility rules configurable.
- Identify high-leverage drop-off points and manage the experimentation roadmap.
- Design product interventions to shorten the time from interest to a confident start.
- Own conversion metrics from prospect to committed learner.
- Co-own strategy and roadmap with a Senior Engineering Manager.
- Author internal narratives including PRFAQs and sales-facing briefings.
- Represent the Prescribe product area in roadmap conversations with senior leadership.
Requirements
- Substantial experience as a Product Manager with a track record of improving measurable growth metrics.
- Confidence with data, including pulling analysis, running cohort studies, and building dashboards.
- Experience designing and running rigorous A/B and multivariate experiments.
- Strong instincts for user experience and sustainable long-term strategies.
- Ability to build alignment across cross-functional teams without formal authority.
- Hands-on experience building products using AI/LLMs to generate or personalise content.
- AI Builder mindset with experience using AI to drive repeatable and automated systems.
Preferred qualifications
- Familiarity with product-led growth (PLG) in a B2B context.
- Experience designing personalisation systems, including data models and trigger logic.
- Previous work in a company that has scaled from hundreds to thousands of users.
- A point of view on where AI genuinely improves outcomes versus creating noise.
- Experience in a regulated environment, such as funding, eligibility, or compliance-heavy products.
- Knowledge of UK apprenticeships and the levy.
Benefits
- 27 days holiday plus 5 additional days (1 life event, 2 volunteer, 2 company-wide wellbeing days)
- 8 bank holidays per year
- Private medical insurance with Bupa
- Medical cashback scheme
- Life insurance
- Gym membership and wellness resources through Wellhub
- Mental health support through Spill
Workplace
- Role is based in London.
- Hybrid work model requiring three days per week in the office.
Skills
- AI
- LLMs
- Product-Led Growth
- Personalisation Systems
