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.

About the Role

At Multiverse, we’re on a mission to equip the workforce to win in the AI era. Our coaches and instructors sit at the heart of that mission. They’re the people who make the AI capability we promise our customers real, every day, in front of every learner.

AI moves fast, though. New models, new tools, and new standards land constantly, and our coaches and instructors need to stay ahead of every apprentice they teach. That’s where you come in.

We’re hiring an AI Enablement Lead to own how the delivery population stays at the cutting edge of AI. You’ll be the trend spotter and the curator: you’ll watch the landscape on behalf of the team, decide what matters, work out who needs to know about it and when, and orchestrate the training response. You won’t have direct reports, but you won’t be doing it alone — you’ll have a group of our most experienced coaches and instructors, with dedicated capacity for enablement and a dotted-line relationship to you. The technical subject matter expertise sits with them; your job is to set the direction they execute against.

You’ll report to the Senior Manager, Delivery Enablement, and partner closely with the wider Enablement leadership team, as well as Learning, Delivery and Operations. The job is to make sure the right people are doing the right training at the right time, in a domain that reshapes itself every few months.

Done well, this role means our coaches and instructors are confident with every new tool and standard before it reaches a learner, never caught chasing the change. Success looks like a delivery team that’s set up to help their apprentices thrive in the AI era and complete their apprenticeships successfully, all whilst having an impact on their own business's goals.

What You’ll Do

• Spot what’s coming. Run a horizon-scanning rhythm for AI: new models, new tools, and new client needs. Decide what crosses the threshold from interesting to actionable, and decide how change translates into training with an ability to prioritise upskilling where we will drive the most value for our customers.
• Assess who needs what. Maintain a current picture of AI capability across the delivery team, ensure we can distinguish between the different capabilities required for different roles, and develop mechanisms to assess the impact of training, ultimately feeding into a curated roadmap of enablement that you will own from conception to execution.
• Curate the training response. Turn the trend scan and capability map into a quarterly plan: who gets trained, in what format, by when. Source the expertise from wherever it lives, internal market disrupters, external courses and partnerships, training and certifications from the AI tool vendors themselves, internal senior enablement coaches and instructors, or a mix to support you on delivering this quarterly plan. Support in ensuring coaches and instructors have the relevant licensing and access. Set the brief, hold the bar on quality, and decide where it lands across live sessions, async modules, knowledge base content, team time, and drop-ins.
• Measure impact and demonstrate value. Define how we measure the effectiveness of AI enablement, and build the evidence base that connects the enablement we provide to the outcomes that matter, stronger coach and instructor capability, credible AI delivery, and ultimately customer and apprentice success. Use what you learn to prove the value and sharpen where we invest next.
• Lead and motivate the AI enablement senior coaches and instructors. Set the enablement priorities for the senior coaches and instructors who support you, hold the standard for what excellent looks like, QA their output, and create the conditions for them to do their best work.

What We’re Looking For

The kind of person who thrives here is an enablement or L&D leader from a fast-moving environment such as edtech, a learning consultancy, or the capability function of a tech business, who has taught themselves to be genuinely fluent in AI out of sheer curiosity, and who gets their energy from building capability in others rather than being the expert in the room.

• Significant professional experience in enablement, learning and development, capability planning, programme leadership, or training orchestration, ideally in a fast-moving, technology-adjacent environment.
• A track record as a trend spotter. You can show how you’ve stayed ahead of a changing field, decided what mattered, and brought a team with you.
• Strong experience orchestrating training programmes through others, where your value was in setting direction, briefing experts, and holding the bar across a team of specialists.
• Deep curiosity about AI and its implications for how people learn and work. You don’t need to be a practitioner, but you need to be fluent enough to scan the landscape, ask sharp questions of technical experts, and make confident strategic calls.
• Proven experience setting direction for and influencing senior individual contributors, including in dotted-line relationships.
• The ability to translate ambiguous, fast-moving inputs into clear priorities and sequenced delivery.
• Strong stakeholder management skills, with the credibility to influence Delivery, Learning, Product, Coach Product, and Operations without authority over them.
• Close alignment with our operating principles, with examples of how you’ve demonstrated them in your professional experience.

Bonus Points If You Have…

• Experience in apprenticeships, regulated learning, or further education.
• A background that includes hands-on AI tool adoption, prompt engineering, or AI-native workflow design, even if your primary expertise is in enablement rather than AI itself.

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.