M
HybridFull-timeManagerProduct
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Sutton-In-Ashfield Nottinghamshire, United Kingdom
£111K–£232K/yr
Estimate — the employer hasn't published pay.
Based on 11 similar manager-level Product Manager jobs in London that show pay. The range is the middle half of their posted pay (25th to 75th percentile), not an offer — ask the employer for the real range.
Product Management salaries →Multiverse is the upskilling platform for AI and Tech adoption.
We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today’s workforce.
Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance.
In April 2026, we announced $70 million in strategic funding, led by Schroders Capital, with participation from StepStone Group, Lightspeed Venture Partners and General Catalyst. At an increased valuation of $2.1bn, the round makes us Europe’s first EdTech double unicorn.
But we aren’t stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We’re building a world where tech skills unlock people’s potential and output.
Join Multiverse and power our mission to equip the workforce to win in the AI era.
We are at an inflection point in our journey. Our platform now serves tens of thousands of learners, demand for AI skills is accelerating, and we are investing seriously in the product and technology that will take us to the next stage of scale. This is a role for someone who wants to build the product that gets more people into transformative learning, and upskill people with critical data and AI skills faster.
We are looking for a Lead Product Manager to own Prescribe: the product that helps a prospective learner find the right programme for their skills and their employer's goals, then takes them to a confident commitment and a successful start. You will be the strategic counterpart to a Senior Engineering Manager, working alongside design and data, and closely with our go-to-market and fulfilment teams.
Growth at Multiverse means getting more people from first interest to a confident start, and it is a product problem, not a marketing problem. You will own the conversion metrics, set the strategy, run the experiments, and drive the outcomes. AI will drive much of the improvement, and you will decide where it helps.
As a Lead, you will work regularly with the most senior leaders across the company. You will report to the Single Threaded Leader for Diagnose & Prescribe and will not manage other product managers. The role is based in London, hybrid, three days a week in the office.
AI-native product experiences
Shape new conversational, AI-first experiences that help learners and customers understand the best programme for their skills and career development.
Decide where AI genuinely improves a match and where it only adds noise, and build the evaluation and guardrails that keep it trustworthy in front of real users.
Turn learner and customer behaviour into product direction.
Prescription and eligibility
Own the logic that connects a learner's skills to a programme and to a customer's levy funding, where mistakes carry a real financial and regulatory cost.
Work with Legal, Compliance and Fulfilment to make eligibility and compliance rules configurable and explainable, so business owners can change them without a rebuild.
Make every recommendation something a learner and a customer can understand and challenge.
Recommendation, commitment and finalisation
Own the journey from recommendation to a learner committing and starting.
Identify high-leverage drop-off points and own the experimentation roadmap.
Design product interventions that adapt to learner needs and behaviour and shorten the time to a confident start.
Collaborate with GTM, Operations and Data teams to improve attribution and the quality of what enters the funnel.
Metrics and experimentation
Own conversion from prospect to committed learner, with retention and programme fit as the guardrails.
Champion a culture of hypothesis-led, structured experimentation.
Cross-functional Leadership
Co-own the strategy and roadmap with your Senior Engineering Manager, with disagreement surfaced early and alignment as your shared deliverable.
Involve GTM, Fulfilment and Support before changes ship. They run what we build, so know their biggest pain points.
Author the narratives the group needs, from the press release and FAQ (PRFAQ) for your area to the sales-facing briefing for a launch.
Represent Prescribe in roadmap conversations with senior leadership.
The best candidates will have owned a growth-critical product before, ideally in a B2B or ideally a B2B2C context. You should have hands-on experience shipping AI-powered features and the ability to navigate complexity without losing sight of the learner.
Must-have experience:
Substantial experience as a PM with a track record of improving measurable growth metrics (acquisition, activation, retention, automation).
Confidence with data: pulling analysis, running cohort studies, and building dashboards.
Experience designing and running rigorous A/B and multivariate experiments.
Strong instincts for user experience and a focus on sustainable long-term strategies.
Ability to build alignment across cross-functional teams without formal authority, including with commercial, GTM and operations counterparts.
Hands-on experience building products using AI/LLMs to generate or personalise content.
AI Builder mindset with experience of using AI as your engine to drive repeatable and automated systems, processes and artefacts that create step changes in performance and efficiencies.
Strong signals we look for:
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.
A bonus if you've done this in a regulated environment, such as funding, eligibility or compliance-heavy products. Knowledge of UK apprenticeships and the levy is an additional plus.
How you work:
Solve for Customer Value: You're direct about data, even when it challenges existing priorities.
Drivers, Not Passengers: You think in systems, take completion seriously, and raise bad news as quickly as good.
Be Decisive, Even in Ambiguity: You're comfortable with ambiguity and define structure in new spaces.
AI to Deliver Outcomes: You have a bias for action (ship, measure, iterate) and ask "how would AI help do this?" before scoping the work.
Not for you if:
This role won't fit if you'd rather write specs than stay close to the data, the design, and the customer. It also won't fit if you see AI as a productivity tweak rather than a step change in how a product team works. And it needs someone who renegotiates scope out loud when it's wrong, not someone who absorbs it and hopes it works out.
The opportunity to work on a product that genuinely changes economic trajectories.
A team that takes craft seriously and holds a high bar.
Direct access to senior leadership and meaningful influence over product direction.
A place in a company rebuilding itself as product-powered and AI-native, where you help define the result rather than inherit it.
Benefits
Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year
Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support
Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month
Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year
Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that’s always stocked!
Our Commitment to Diversity, Equity and Inclusion
We’re an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here.
Our Commitment to Safeguarding
Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS).
For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children’s Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings.
Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.