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 June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK’s first EdTech 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.
Multiverse is now doubling down hard on AI and we've just launched a groundbreaking AI Adoption Platform to lead the charge.
You'll be joining the Adoption AI Team: a small, high-velocity squad operating like a startup inside Multiverse. We're building a category-defining product from scratch, leveraging our massive customer base and IP to deliver personalised, role-specific AI use cases to the enterprise.
Our MVP already showed 10x adoption results in early pilots. Now we're building the engine to scale it to the world, and that's where you come in.
We're building a full suite of products that enable AI Transformation for businesses, unlocking the real power of AI across the enterprise workforce. These aren't roadmap items, they're greenfield builds that will define how organisations adopt AI at scale.
You'll be one of two PMs on this squad, working under our Senior PM, and paired with a dedicated engineering pod, a supercharged engineer equipped with cutting-edge AI coding tools to massively accelerate the build velocity.
We're looking for a hands-on, builder-first PM to join us at the ground floor of this mission. This isn't a 'features and tickets' kind of role. You'll be prototyping, shipping, learning fast, and repeating.
In your first 6 months, you'll:
Move from MVP to Scale: Take our high-performing pilot and help build out our initial core product, before expanding into the wider platform suite.
Vibe Code & Prototype: This is a builder role. You'll use AI tools to build & test prototypes in real time alongside your engineering team. Non-negotiable.
Work With Your Engineering Pod: You'll be paired with a dedicated engineer. Together you'll move fast: you prototype, they build, both of you ship.
Influence Across Disciplines: Work cross-functionally with Engineering, Design, GTM, and senior leadership to define how the world adopts AI.
You're a builder. Not a bureaucrat, not a spec writer, a builder!. You think in prototypes, move fast, and get your hands into the tech stack without needing to be asked.
You'll thrive in this role if you:
Love building in ambiguity and have the grit to iterate your way to clarity
Get genuinely excited about AI! not the hype, but the real, practical use cases that change how people work
Are comfortable owning a problem end-to-end: from customer insight to shipped feature
Have strong opinions, loosely held, you can defend a decision and update your view when the data says otherwise
Want to be part of something early-stage and help shape how it scales
Here's how great PMs operate on our team:
Solve for Customer Value: We don't build AI for the sake of AI. You'll obsess over role-specific use cases that solve real pain points for our enterprise customers.
Drivers, Not Passengers: You're an owner. In a startup environment, there's no 'them', only 'us.' You lead the solution, bring others along, and don't wait for permission to fix a friction point.
Be Decisive, Even in Ambiguity: Speed is our strategy. You'll launch 'imperfect' solutions, test them in the wild, and course-correct based on real adoption data.
AI to Deliver Outcomes: AI is our engine, for our product and for how you work. You treat Ai tools as core parts of your toolkit, not optional extras.
Outcome-Driven Delivery: You consistently make the right technical trade-offs to deliver customer value quickly, without sacrificing quality.
The Builder Mindset: Experience in early-stage, agile, or startup environments. You're industrious, curious, and thrive in rapid, iterative build cycles.
Building Skills: Hands-on experience building prototypes using AI tools such as Claude Code, Cursor, Replit, or similar. This is non-negotiable for this role.
B2B Edge: Prior experience in B2B or B2B2C product management is preferred, but we value adaptability if you come from a high-growth B2C background.
Technical Craft: Familiarity with full-stack environments (ideally AWS and React). You can navigate the stack and speak credibly with engineering teams.
Exceptional Communication: The ability to sell a vision to a room of stakeholders and influence across disciplines, from engineers to senior leadership
We want to be upfront about what won't work here:
Corporate Bureaucrats: If you need a 50-page PRD and three months of committee meetings to make a decision, this isn't the squad for you.
Passive Observers: We need people who get their hands dirty. If you don't want to prototype or engage deeply with the tech stack, you won't thrive here.
AI Sceptics: If you're not genuinely excited about using AI tools to accelerate your own work and shipping velocity, this role isn't the right fit.
1. Recruiter Screen: A first introduction to your experience, motivators, and a chance to learn more about Multiverse and our AI Adoption product.
2. Hiring Manager Intro Interview: A deep dive into your background and 'builder' mindset. Opportunity to understand the technical challenge, culture, and personal growth potential.
3. The 'Building Assignment: A product exercise where you build and present a prototype using AI tools, to 3-4 cross-functional stakeholders. This is where you get to shine. ✨
4. Operating Principles Final: A final interview with senior leadership to assess alignment with our core behavioural principles and to explore the long-term vision together.
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
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