Product Manager (AI Adoption)

Full-time Job Type
Hybrid Work Arrangement
Mid-Level Experience
Apply Now Posted 2 weeks ago

This hybrid, mid-level role is based in London with Multiverse, an upskilling platform focused on AI and tech adoption. The position involves building AI adoption products, leveraging AI tools to enhance enterprise productivity.

Skills / Requirements

  • Agile
  • AI Adoption
  • AWS
  • B2B Product Management
  • Claude Code
  • Cursor
  • Outcome-Driven Delivery
  • Product Management
  • Prototyping
  • React
  • Replit
  • Startup Experience
  • Technical Communication
  • Vibe Coding

Why Apply

This role is ideal for those who thrive using AI tools like Claude Code, Cursor, or Replit to rapidly prototype and test in real-time. You'll work closely with a dedicated engineer, accelerating build velocity with AI assistance.

What You'll Be Doing

You'll prototype and scale AI adoption products, moving from MVP to a full platform suite. Collaborate with engineering, design, and leadership to define AI use cases and integrate them into enterprise workflows.

Working in London, United States

  • London is a global tech hub with a vibrant startup scene, making it an ideal place for tech professionals.
  • The city offers a rich cultural life and diverse neighborhoods, providing a dynamic living experience.
  • London's public transit system is extensive, facilitating easy commutes across the city.
  • As a major financial center, London provides ample opportunities for career growth in tech and related fields.

Pay and Career Growth

The role offers a chance to work in a fast-paced, startup-like environment within a well-funded company poised for growth. You'll have opportunities to influence product direction and work closely with senior leadership.

Benefits and Perks

  • 27 days holiday
  • Gym Membership
  • Hybrid work
  • Life Insurance
  • Mental Health Support
  • Private medical insurance
  • Volunteer Days
  • wellness resources
  • work-from-anywhere scheme

Is This Role Right for You?

Good fit if you...

  • You have experience in early-stage or startup environments and thrive in rapid build cycles.
  • You're excited about using AI tools to prototype and deliver solutions quickly.
  • You have strong B2B product management experience and can communicate effectively across disciplines.

May not be for you if...

  • You prefer structured environments with detailed specifications and long decision-making processes.
  • You're hesitant to engage deeply with AI tools or the tech stack.
  • You lack experience in fast-paced, iterative product development environments.

Original Job Description

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.
The Mission & The Squad
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.

The Ask
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.
About You
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
Our North Stars
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.
What You’ll Bring

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
Not Our Vibe
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.
The Interview Process

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

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.