
Multiverse · London
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 t...
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
Multiverse is building the AI-first workforce transformation platform that connects learning to career outcomes at scale. As we
scale toward $1bn+ in bookings, we are investing in support as a strategic function: a new operating model, modern infrastructure,
and a function that actively strengthens learner retention and customer trust.
This is a rare clean-sheet opportunity. In your first six months, you will design the support operating model from first
principles and build the platform that runs it. Beyond that, you own the strategy, the operating model, and the long-term
performance of support for a genuinely multi-sided audience: learners, the coaches who guide them, and the employers who fund
them.
This is a build role, not a queue-management role. A Support Manager runs the day-to-day team and SLA delivery and reports to you.
You set the direction, design the system, and hold the function to a standard the business can trust.
What You Will Own
The Build (First 6 Months)
manage cutover, and stabilise. A defined programme with clear milestone gates and acceptance criteria.
seller): what happens at every touchpoint from first contact to resolution, including communication, escalation, waiting
states, and AI-to-human handoffs. The journey design drives system configuration, not the other way around.
ticket transparency, and native reporting. Every system decision traces back to a journey decision.
specialist who will own the configuration long term.
Support Strategy & Operating Model (Ongoing)
roadmap two quarters ahead and hold delivery to the current one.
honest measures of quality rather than activity.
AI Resolution & Knowledge
loop on policy-sensitive cases (safeguarding, funding eligibility, qualification decisions).
strong knowledge foundation is what makes scaled AI resolution possible.
Cross-Functional Partnership & Insight
to drive root-cause fixes through a standing forum.
Team & Coordination
Knowledge Manager and develop the internal technical specialist toward independent ownership of the platform.
Professional Services throughout the build.
About You
You have done this before
function from operating model through system implementation. You have the playbook: set the baseline, design the target,
sequence the build, enable the team, stabilise.
Professional Services, QA a build, and recognise when a configuration is wrong. Equivalent enterprise support platform depth
considered.
funding, or retention.
You think in systems, not tickets
then configure the system.
knowledge foundation has to come first.
You lead through influence
across Product, Engineering, Learning, and Customer Success, and on building the accountability that makes cross-functional
fixes actually happen. You manage up and across as naturally as you manage down.
different urgency and stakes, and you build a model that serves each well without collapsing them into one queue.
line against the cost-first, deflect-at-all-costs trap that has burned other AI-first support orgs.
adding to their load.
Preferred Qualifications
Why This Role
Most support leadership roles inherit a system and optimise at the margins. This one hands you a clean-sheet build and permanent
ownership of what you create. You will have a Senior Director who clears the path, direct access to the tools and vendors, and a
mandate to build support into a function that drives retention and customer trust.
Benefits
(M-Powered Weekend) and 8 bank holidays per year
resources through Wellhub and access to Spill - all in one mental health support
Instructors who collaborate in the office once a month
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.
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. 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.
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. About the Role As a Pod Operations Specialist, you are the "engine room" of the Mid-Market Client Delivery Team’s operational excellence. This is a team of over 30 coaches delivering AI, Data and apprenticeship programmes to over 4000 learners from 300 employers. Reporting to the Operations Manager, you will own the execution, maintenance, and optimisation of the workflows that support a vast array of clients and their learners. You act as a force multiplier for our coaches, leveraging data and automation to remove administrative friction and ensure every learner has a seamless journey from kickoff to completion. This is a high-impact, hybrid role based in London, requiring 3 days per week in the office to collaborate closely with the delivery team. Please note that this is a 12-month fixed-term contract. What You’ll Do * Directly own the tracking, reporting and improvement of the pod’s primary learner health metrics. * Use Metabase, SQL, and the Tableau dashboards to identify "leading indicators" of attrition. You will provide qualitative analysis to "paint a picture" of risk for MBR/QBR reporting, responding to deep-dive queries on client health. * Maintain and optimise pod infrastructure within our Knowledge Base, ensuring SOPs and "Sources of Truth" are always accurate. * Execute critical delivery workflows, including processing Breaks in Learning, managing Gateway bookings, ensuring coach cover and overseeing the administrative side of apprentice programme success. * Act as the operational point of contact for Account Kickoffs, working with Customer Success Managers, Launch, and Admissions teams. You will also organise learner allocations and manage platform transfers of learners. * Surface insights for weekly and monthly learner retention reports, conducting deep dives and creating reports that can be shared with senior stakeholders. * Identify opportunities to use AI tools and no-code solutions (e.g., Slack Workflows, Gems, Claude artifacts) to automate repetitive tasks and improve pod efficiency. About You * You are comfortable navigating complex datasets (Metabase, GSheets) and can independently derive actionable insights from raw data. * You have a high degree of comfort with ambiguity and provide clarity for stakeholders in a fast-paced environment. * You have experience - or a strong willingness to master - tools like Metabase, Tableau or SQL for troubleshooting, and AI-driven workflows. * You can translate technical data into clear, concise narratives for leadership and commercial teams. * You don't just report issues; you identify root causes and build systems to prevent them from reoccurring. Success in this Role Success for the P5 Specialist is measured by the "health of the pod." This means zero gaps in data hygiene, timely processing of all learner transitions, and a measurable reduction in the administrative load on our coaching cohort. 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.
About Seamflow We’re removing one of the last great barriers to progress in the physical world. While software moves fast, industries like healthcare, aerospace, and energy are still slowed by outdated, manual systems. Our vision is to unlock enormous value for Testing, Inspection, and Certification customers globally. The market is vast, the problem is real, and we're just getting started. We're rapidly growing following our 14x oversubscribed $4.5M seed round backed by Tier 1 investors including Northzone and Initialized Capital. These funds backed the founders of Coinbase, Reddit, Klarna, and Spotify. We're seeing significant traction in the market; demand is outstripping our supply, and we're building fast to keep up. The Team Our team includes AI researchers from world-leading academic institutions like Johns Hopkins, MIPT, and UCL, former founding engineers at unicorn startups, and alumni of X, Google, Amazon, and Yandex, alongside former leaders from McKinsey and Bain. We look for people who move fast, think clearly, and hold themselves to a high bar. The standard here is genuinely high, and we're looking for someone who raises it further. The Role As a Deployment Strategist, you'll own our client deployments end to end: from the moment a pilot is signed to the moment the client can't imagine working without us. You'll embed with customers, map their workflows, configure Seamflow around those workflows, and drive adoption. You'll partner closely with the founding team, sales, engineering, and the customer. We're looking for someone who combines consulting-grade structure with genuine curiosity. You're great with people and build trust quickly, whether you're in a room with a frontline reviewer or a VP. You operate independently, take ownership without waiting to be told, and bring an entrepreneurial instinct to every account. Every successful deployment is a reference account that unlocks the next deployments. What You’ll Do * Own deployments: Design and run structured deployment plans for enterprise pilots, breaking ambiguous client problems into clear milestones, owners, and deadlines. * Define our deployment strategy: As one of our first deployment hires, you'll define how Seamflow deploys. You won't just execute a playbook, you'll write it. * Build the team beneath you: You'll support hiring and shape the deployment function as it scales, turning yourself from an individual operator into the leader of a function. * Map workflows: Go deep into testing, inspection and certification environments. You will need to understand the customer's documents, systems, and pain points, and translate that into how we configure and improve the product. * Drive adoption: Build trust with senior stakeholders, identify champions, remove blockers, and make sure the people doing the work actually use the tool. * Feed the product: Work closely with engineering to turn what you learn in the field into product requirements. What We’re Looking For * 3–5 years (junior manager or above) in consulting, customer-facing deployment or implementation roles, or operational roles in enterprise B2B. * AI-native: You already run your work through AI and operate at 10x as a result. You reach for these tools by default, not as a novelty, and you're constantly finding new ways to compress what used to take days into hours. * Structured and organised: you can run multiple workstreams across multiple clients without dropping anything. * High emotional intelligence: comfortable in a room with an EVP in the morning and a technical reviewer in the afternoon, and able to win the trust of both. * Fast learner with real intellectual curiosity. * Bias to action: you'd rather ship a good plan today than a perfect one next week. * Strong with slides, Excel, and written communication. * Willing to travel to client sites across Europe when deployments need it. * Someone who wants to be in the room, not on a call. This role is in-person, full time at our Shoreditch office. * Nice to have: European languages What You’ll Get * A huge amount of responsibility and trust from day one, with the autonomy to run your deployments your way * The opportunity to define a function and grow a team beneath you as we scale * Competitive compensation package including equity and a performance-based bonus * Hands-on exposure to every part of building a business * A team that moves fast, works hard, and backs each other fully * Competitive compensation package * Lunch and dinner covered, 24/7 gym access, relocation support if needed