--- title: 'Senior Manager, Coach & Instructor Enablement at Multiverse' canonical: 'https://feeny.ai/job/senior-manager-coach-instructor-enablement-multiverse-london-h9rzj3ewf5h0' type: 'job' last_seen: '2026-09-16' --- # Senior Manager, Coach & Instructor Enablement at Multiverse - **Company:** Multiverse - **Location:** London, United Kingdom - **Employment:** part-time - **Work type:** hybrid - **Posted:** 2026-09-16 - **Last confirmed live:** 2026-09-16 - **Apply:** https://jobs.ashbyhq.com/multiverse/68edc249-736c-4c91-84c9-a01cff5b14f7 ## 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 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. Senior Manager, Coach & Instructor Enablement FTC 14 months Coach & Instructor Enablement exists to make the delivery organisation measurably better at retaining learners and delivering successful outcomes consistently, predictably and at scale. You will enhance our existing strategy and lead the team through its exciting next stage of growth. The team will form around four capability pillars and a new Enablement Operations platform. You will be building that structure while it delivers across a large delivery organisation that supports thousands of learners. Priorities will shift underneath you as delivery data moves, and part of the job is deciding what starts, what stops, and most importantly what must not slip. This is a role for a strong operator who excels at influencing and collaborating across complex teams and departments. A proven track record of getting work done across teams with clear asks, embedding shared measures of success, and creating an environment where there is no ambiguity about who owns what is are the keys to success within this role. You will lead a team of six specialists supporting hundreds of coaches and instructors across all learner programmes. ## What you'll own - Delivery Fundamentals: the standard for what good coaching and instruction look like, QA against that standard, calibration in partnership with Delivery and Quality - Operational & Regulatory Change: every coach and instructor has the process, tooling and regulatory knowledge to deliver, and gets it before the change reaches a learner. - Technical Skills & Programme Requirements: coaches and instructors are current and designated on the technical content they deliver. - Timely Assessment & Achievement: shared ownership for timely learner achievement. - Enablement Operations & Systems: the foundation underneath all four. ## Key Responsibilities - Set the direction and deliver results.. Define the owner, mandate and measures for each pillar, help prioritise and sequence work, and make trade-offs needed to deliver the greatest business impact. - Build Enablement Operations SMEs own skills and requirements while operations gets the enablement to the right people, on time, and tracks who did it. - Prioritise and re-prioritise without drama. Run a single visible enablement roadmap, say no clearly, and re-sequence when delivery data, business need or regulatory change demands it. - Delivering through other teams. Partner with Learning on programme and content change, Operations on process, Quality on the coaching standard, and Delivery on learner retention and achievement. - Close the feedback loop with Delivery Leadership. React to performance trends from monthly calibration, observations and delivery data. - Lead and develop six specialists through regular 1:1s, feedback, and clear individual measures. ## Skills & Qualifications - A proven track record of balancing cross functional relationships and their priorities while still delivering impact in a fast-paced, high-volume environment. - A demonstrable operator. You have taken something loosely defined and made it run: clear owners, measures, cadence, reporting. You are comfortable in the detail and you finish things. - Fluent cross-functionally. You have delivered outcomes that depended almost entirely on teams you did not manage, and you can explain exactly how. - Comfortable in ambiguity and shifting priorities. You decide on incomplete information, name the risk you are accepting, and change course without losing momentum or the team's confidence. - Data-led. You use performance data to decide where to intervene and to hold others accountable. - AI-native operator. You build cadences that use AI to do the collating and chasing, so the process scales with the team rather than growing headcount alongside it. - Experience of enablement, L&D, capability building, delivery operations or quality in an at-scale frontline organisation. - Apprenticeships, regulated education or another regulated delivery environment is a strong advantage. You can hold quality, compliance and pace at the same time. - Excellent written and verbal communication. You can write the one-pager a senior leader acts on, and run the calibration session a coach finds useful. ## 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](https://www.multiverse.io/en-GB/our-policies/equality-diversity-and-inclusion-policy). 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](https://cdn.sanity.io/files/6y1mknvo/prod-20240319/50283d0600920c5f1e02cf44e54c0f1534c74e61.pdf), our [Prevent Policy](https://cdn.sanity.io/files/6y1mknvo/prod-20240319/35a5defca7346bb1c212250867754b0a7ae5b478.pdf)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 Multiverse ## Company Overview - **One-liner**: Multiverse is an upskilling platform that combines expert human coaching with an AI-powered learning engine to help organisations adopt AI, data and tech skills at scale. - **Entity Type**: Private (Series D, most recent raise $70m in 2026 at a $2.1bn valuation) - **Headquarters**: London, United Kingdom (Paddington) - **Founded**: 2016 - **Founders**: Euan Blair ## Core Business - **Primary industry**: Workforce upskilling / EdTech / AI adoption services - **Target customers**: B2B – enterprises and mid-market organisations (1,500+ companies including Microsoft, Mars, John Lewis Partnership) - **Mission statement**: “Equip the workforce to win in the AI era.” ## Products & Services - **AI Adoption Platform**: An end-to-end platform that diagnoses skills gaps, prescribes learning paths (using the MAGE framework), and tracks quantifiable business impact (productivity, cost savings, ROI). - **Professional Apprenticeships**: Accredited programmes (Level 3, Level 4) in AI, data, and tech – e.g. Data Technician, Data Analyst, AI & Automation Practitioner, Digital Support Technician. Delivered over 13 months with a 3-month assessment period. - **AI Solutions Builder**: A programme to create agentic AI experts who build solutions to improve team processes and eliminate repetitive tasks. - **Data Fellowship & Data & Insights for Business Decisions**: Programmes for aspiring/junior to mid-level data professionals. - **AI-Powered Productivity**: Coaching on GenAI tools (Microsoft Copilot, Gemini) with responsible AI use. - **Human + AI Coaching**: An ecosystem of expert coaches and AI support to guide learners through their upskilling journey. ## Market Standing - **Valuation**: $2.1 billion (post-money after $70m raise in 2026; previously $1.7bn post-money in June 2022 Series D) - **Key Metric**: Over £2 billion tracked ROI for employers; 22,000+ learners; 1,500+ companies served; 800+ employees - **Notable Investors/Partners**: Schroders Capital (lead in 2026 round), General Catalyst, Lightspeed Venture Partners, StepStone Group. Key partners include Microsoft, Mars, John Lewis Partnership. - **Growth Signals**: Raised $70m at a higher valuation in 2026 to accelerate European expansion; growing headcount (850+ employees reported on careers page); launched new AI-specific programmes; expanded from UK into the US. ## Competitive Advantages - **End-to-end AI adoption layer**: Combines skills diagnosis, custom learning paths, human coaching, and ROI measurement – not just content delivery. - **Proven ROI focus**: Every programme is designed to deliver measurable business outcomes (e.g., $2bn+ in customer ROI cited). - **Accredited apprenticeships for all career stages**: Offers government-recognised qualifications but for any age (not just early career), bridging the gap between traditional education and workforce needs. - **AI-native approach**: AI is “the engine, not an add-on”; the platform itself uses AI to personalise learning and coach at scale. ## Strategic Focus - **European expansion**: The 2026 $70m raise, led by Schroders Capital, is specifically earmarked for accelerating growth across Europe. - **Deepening AI adoption capabilities**: Building the “adoption layer” for organisations – helping them move from buying AI tools to actually getting employees to use them effectively. - **Scaling the platform**: Continuing to add new programmes and improve the MAGE learning framework to drive more business impact. ## Why Work Here - **Culture**: Described as “mission-driven” with a focus on achievement, mastery, and behaviour (BAM framework). Emphasis on continuous feedback, improvement, and being “owners” who drive outcomes. - **Hybrid working**: 3 days per week in the London office (Paddington); plus a “10 days work from anywhere” scheme. - **Benefits**: Bupa Private Medical Insurance, Unum Cashplan, Wellhub gym/wellness membership, enhanced pension (5% + 4% employer contribution), tech and cycle scheme, workplace nursery, share options (role dependent), 2 extra M-Powered Days off, life insurance, therapy support. - **Learning and growth**: “Never stop growing” is a core value; intensive 2-week AI onboarding for all new hires; quarterly team socials. - **Engineering culture**: Active hiring for roles like AI Solutions Engineer, Senior Software Engineer (AI Adoption Product), Applied AI Engineer, Analytics Engineer, AI Learning Architect – indicating a strong focus on building the platform in-house. ## Sources 1. [multiverse.io – Homepage](https://www.multiverse.io/) 2. [multiverse.io – Careers “We’re Hiring”](https://www.multiverse.io/careers/were-hiring) 3. [multiverse.io – Our Mission](https://www.multiverse.io/about/our-mission) 4. [multiverse.io – Careers (open roles)](https://www.multiverse.io/en-US/careers?q=advanced) 5. [linkedin.com – Multiverse company page](https://www.linkedin.com/company/joinmultiverse) ## Other roles at Multiverse - [Director of Enterprise Technology](https://feeny.ai/job/director-of-enterprise-technology-multiverse-london-7xc2w7d08rz9) — London, United Kingdom - [Senior Financial Accountant](https://feeny.ai/job/senior-financial-accountant-multiverse-london-3pex14w5mt3g) — London, United Kingdom - [Campaigns & Content Specialist](https://feeny.ai/job/campaigns-content-specialist-multiverse-london-ag0zsxf6yh5d) — London, United Kingdom - [Delivery Manager - Operations](https://feeny.ai/job/delivery-manager-operations-multiverse-london-d1675jhnjs0j) — London, United Kingdom - [AI Portfolio Lead](https://feeny.ai/job/ai-portfolio-lead-multiverse-london-2t277mhtexxq) — London, United Kingdom - [Senior Product Marketing Manager](https://feeny.ai/job/senior-product-marketing-manager-multiverse-london-ya6vph9h14gg) — London, United Kingdom - [Senior AI Engineer, Edinburgh](https://feeny.ai/job/senior-ai-engineer-edinburgh-multiverse-edinburgh-v39rnxk8g3jh) — Edinburgh, United Kingdom - [Staff AI Engineer , Edinburgh](https://feeny.ai/job/staff-ai-engineer-edinburgh-multiverse-edinburgh-ddsemr5tycd9) — Edinburgh, United Kingdom - [Director of Data Products](https://feeny.ai/job/director-of-data-products-multiverse-london-mqb7kx0etyc6) — London, United Kingdom - [Senior Leader - Product Marketing](https://feeny.ai/job/senior-leader-product-marketing-multiverse-london-jyegsnzwy8bq) — London, United Kingdom