Multiverse
AI Portfolio Lead
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · London
Employer listed it 2 weeks ago · Added 4 days ago
Been open since 2 weeks ago, still being checked, but it has been live a while.
Salary
Not stated
Location
Hybrid · London
Timezone
Not stated
Contract
Full-time
Experience
Lead
Category
Other
This employer didn't state pay. Jobs like this usually pay around $175k–$255k a year, a typical range taken from 218 lead-level other roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around London, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "London, Hybrid"
- Listing mentions "Hybrid" and three days per week in the office
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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.
The Opportunity
The Portfolio Lead curates a world-class UK apprenticeship product set focused on AI upskilling. Working as one of two dedicated leads within our AI vertical, you are an AI-literate strategist who isn’t shy about your passion for how generative AI, agentic workshops and complex AI transformative initiatives are reshaping the workforce. You have a deep understanding of the AI tooling market, both now and how it will continue to evolve.
Practically, you will own the roadmap and key performance metrics for a set of products, proactively scoping new UK releases to grow bookings and influencing cross-organisational decisions on how to maintain and improve programme retention and quality as we scale. Given the pace of change in the wider policy sector, you will serve as an important internal voice on how we can respond to and influence the shape of new policy innovations such as apprenticeship units.
You are the technical point of contact for GTM discovery, often supporting complex deal structures or tooling partnership meetings to maximise alignment between our data products and client needs. You also deeply understand what effective, high-impact learning looks like in a technical data context and will support our Admissions, Delivery, Learning and Technology/Product teams to evolve their processes as we launch new products or improve our existing offerings. As we release synchronous and blended learning models, you will be vital in quality-assuring our products and supporting other members of the Learning team (such as Senior Programme Designers and Technical Learning Designers) to make the right choices to maximise learner engagement.
What You’ll Do
Portfolio Strategy
AI Product Roadmap: Own the development and iteration of a sub set of our AI product offerings by analysing data (both internal and external) to improve net new bookings, customer retention and learner retention
Market Alignment: Validate our assumptions and competitor analysis in the market in partnership with Product Marketing, shaping how we communicate technical value and competitor positioning
Horizon Scanning: Stay ahead of the curve on data and tooling trends to identify new skills development pain points and opportunities
Investment Validation: Support GTM, Finance and our Delivery teams to scope custom data offerings, balancing market potential against the technical investment required
Policy Influence: Support our Policy team to craft compelling responses to consultation requests and consider proactive initiatives to actively shape apprenticeship policy for your area
Product Development, Launch & Iteration
Learning Squad Management and Prioritisation: work collaboratively with stakeholders across the business to create compliant apprenticeship curricula which meet learner and client needs. Use data and insights (qualitative and quantitative) to identify and prioritise opportunities for growth and improvement, including managing the backlog and prioritisation of improvements for wider Learning team members and teams external to Learning
Organisational enablement and readiness: support partners in Delivery, Admissions and Product to assess and enable the readiness of our systems and people to deliver a high quality learning experience
Proactive Risk Mitigation: Identify and escalate risks to all levels in the organisation, including C Suite, to ensure products remain on track to hit quality benchmarks.
Agile Feedback Integration: Establish and lead rigorous feedback loops for your products. You won't just "collect" feedback; you will find effective ways to synthesise what you are hearing from different sources including our own internal delivery teams, learners and clients
Expert Credibility: Serve as the internal and external "voice of the data practitioner," building trust with technical leaders and stakeholders at all levels
What You’ll Bring
AI Domain Expertise: You bring a sophisticated background in AI upskilling, fueled by a network of experts that ensures you’re always ahead of the next big shift. You understand the infrastructure and tools needed to support modern AI - generative, agentic and beyond
Requirements
- ·Product or Curriculum Launch Experience: Proven experience working with a broad cross functional group of stakeholders to launch learning products and their ongoing improvements
- ·Preferred Skills and Qualifications
- ·AI Practitioner: you have significant technical proficiency in AI automation tooling and can speak from lived experience in designing learning for these tools
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!
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Multiverse, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 5d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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