At a Glance
- Tasks: Lead AI training initiatives and keep our coaches ahead of the curve in a fast-paced environment.
- Company: Join Multiverse, a forward-thinking company on a mission to empower the workforce for the AI era.
- Benefits: Enjoy 27 days holiday, health insurance, hybrid work, and wellness resources.
- Other info: Be part of a diverse team committed to safeguarding and promoting learner welfare.
- Why this job: Make a real impact by shaping how we train the next generation in AI skills.
- Qualifications: Experience in learning and development, with a passion for AI and trend spotting.
The predicted salary is between 60000 - 80000 £ per year.
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’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
- 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. 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.
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.
AI Enablement Lead employer: Multiverse
At Multiverse, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration in the rapidly evolving field of AI. Our commitment to employee growth is evident through comprehensive training programmes, generous benefits including 27 days of holiday and wellness resources, and a flexible hybrid work model that promotes work-life balance. Join us in our mission to empower the workforce for the AI era, where your contributions will directly impact the success of our learners and the future of education.
StudySmarter Expert Advice🤫
We think this is how you could land AI Enablement Lead
✨Dive into Digital Learning Communities
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Create content that demonstrates your understanding of digital learning—think blogs, videos, or even free online workshops. This could catch the eye of companies like Multiverse looking for innovative thinkers. Plus, it’s a great way to practice your presentation skills!
✨Utilise University Career Services
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✨Apply Directly Via Company Websites
When you come across roles like AI Enablement Lead at Multiverse, make sure to apply directly through their website. It not only shows you're serious but sometimes you'll find positions listed there that may not be on job boards yet. Keep an eye on those!
We think you need these skills to ace AI Enablement Lead
Some tips for your application 🫡
Show Off Your Passion for Learning:When applying for a role in digital learning and education at Multiverse, make sure to sprinkle your application with examples of your enthusiasm for teaching and learning technologies. Share specific experiences where you've used, designed, or implemented digital learning solutions, as this shows us that you truly get the field.
Highlight Relevant Education and Certification:In the digital learning space, having a strong educational background can set you apart. Don't shy away from showcasing your degrees, certifications, or relevant courses related to e-learning, instructional design, or educational technology. We love seeing candidates who have actively invested in their learning journey!
Tailor Your CV to the Role:Your CV is your first impression, so let's make it count! Focus on your skills directly related to digital learning, such as course development, learning management systems, and data analysis. Be sure to show measurable results from your past roles to demonstrate your impact and effectiveness.
Craft a Compelling Cover Letter:In your cover letter, express not just your qualifications, but your vision for the future of digital education. Discuss how your experiences align with the mission of Multiverse and highlight any innovative ideas you might have for enhancing learning experiences. This is your chance to connect with us on a deeper level!
How to prepare for a job interview at Multiverse
✨Get Hands-On with Learning Technologies
Familiarise yourself with common digital learning tools and platforms, like LMS systems or authoring tools that Multiverse might use. Understanding these will give you an edge and show you’re ready to jump in from day one!
✨Showcase Your Creativity in Lesson Design
Prepare a portfolio of your past projects if you have them, or create sample lesson plans or digital content demos. Being able to discuss your creative approach to engaging students can really set you apart in a full-time role at Multiverse.
✨Brush Up on Educational Trends
Stay in the loop with the latest trends in digital education, like gamification or personalised learning experiences. This will help you engage in meaningful discussions during the interview and demonstrate your passion for the field.
✨Prepare for Collaborative Scenarios
Expect to be asked about your experience working collaboratively with educators or other stakeholders. Consider discussing how you've contributed to a team effort in creating engaging educational content or improving student outcomes.