---
title: 'AI Portfolio Lead at Multiverse'
canonical: 'https://feeny.ai/job/ai-portfolio-lead-multiverse-london-2t277mhtexxq'
type: 'job'
last_seen: '2026-09-09'
---

# AI Portfolio Lead at Multiverse

- **Company:** Multiverse
- **Location:** London, United Kingdom
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-08
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/multiverse/e87fa2d9-0871-4eb4-9182-8ee8cab6eb60

## 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.

The Opportunity

The Portfolio Lead curates a world-class UK apprenticeship product set focused on AI upskilling. Working as one of two dedicated leads within our AI vertical, you are an AI-literate strategist who isn’t shy about your passion for how generative AI, agentic workshops and complex AI transformative initiatives are reshaping the workforce. You have a deep understanding of the AI tooling market, both now and how it will continue to evolve.

Practically, you will own the roadmap and key performance metrics for a set of products, proactively scoping new UK releases to grow bookings and influencing cross-organisational decisions on how to maintain and improve programme retention and quality as we scale. Given the pace of change in the wider policy sector, you will serve as an important internal voice on how we can respond to and influence the shape of new policy innovations such as apprenticeship units.

You are the technical point of contact for GTM discovery, often supporting complex deal structures or tooling partnership meetings to maximise alignment between our data products and client needs. You also deeply understand what effective, high-impact learning looks like in a technical data context and will support our Admissions, Delivery, Learning and Technology/Product teams to evolve their processes as we launch new products or improve our existing offerings. As we release synchronous and blended learning models, you will be vital in quality-assuring our products and supporting other members of the Learning team (such as Senior Programme Designers and Technical Learning Designers) to make the right choices to maximise learner engagement.

## WHAT YOU’LL DO

Portfolio Strategy

- AI Product Roadmap: Own the development and iteration of a sub set of our AI product offerings by analysing data (both internal and external) to improve net new bookings, customer retention and learner retention
- Market Alignment: Validate our assumptions and competitor analysis in the market in partnership with Product Marketing, shaping how we communicate technical value and competitor positioning
- Horizon Scanning: Stay ahead of the curve on data and tooling trends to identify new skills development pain points and opportunities
- Investment Validation: Support GTM, Finance and our Delivery teams to scope custom data offerings, balancing market potential against the technical investment required
- Policy Influence: Support our Policy team to craft compelling responses to consultation requests and consider proactive initiatives to actively shape apprenticeship policy for your area

Product Development, Launch & Iteration

- Learning Squad Management and Prioritisation: work collaboratively with stakeholders across the business to create compliant apprenticeship curricula which meet learner and client needs. Use data and insights (qualitative and quantitative) to identify and prioritise opportunities for growth and improvement, including managing the backlog and prioritisation of improvements for wider Learning team members and teams external to Learning
- Organisational enablement and readiness: support partners in Delivery, Admissions and Product to assess and enable the readiness of our systems and people to deliver a high quality learning experience
- Proactive Risk Mitigation: Identify and escalate risks to all levels in the organisation, including C Suite, to ensure products remain on track to hit quality benchmarks.
- Agile Feedback Integration: Establish and lead rigorous feedback loops for your products. You won't just "collect" feedback; you will find effective ways to synthesise what you are hearing from different sources including our own internal delivery teams, learners and clients
- Expert Credibility: Serve as the internal and external "voice of the data practitioner," building trust with technical leaders and stakeholders at all levels

## WHAT YOU’LL BRING

- AI Domain Expertise: You bring a sophisticated background in AI upskilling, fueled by a network of experts that ensures you’re always ahead of the next big shift. You understand the infrastructure and tools needed to support modern AI - generative, agentic and beyond
- Product or Curriculum Launch Experience: Proven experience working with a broad cross functional group of stakeholders to launch learning products and their ongoing improvements
- Confident Written and Oral Communication at all levels: You switch with ease from talking about the technical specifications of a new learning lab environment, to effectively raising a risk with the SLT on product performance, to convincing a CIO on the ROI your products bring to his business metrics. You actively enjoy thinking about how to influence these different stakeholders
- Ability to distinguish between signal and noise: You know how to make stakeholders feel heard whilst holding the line on what is right to prioritise and why. You effectively balance the need to improve learner experience with the practical realities of working with constrained resources
- A strong vision for applied learning: you strongly believe in the power of apprenticeship and applied learning models to supercharge the acquisition of data skills and you bring vision and expertise both internally and externally to how to do this effectively
- AI enabled practices: you have experience building and using AI workflows to automate research, development and reporting tasks. You are excited about embracing AI to help you spend time on the tasks which most need your expertise

## PREFERRED SKILLS AND QUALIFICATIONS

- AI Practitioner: you have significant technical proficiency in AI automation tooling and can speak from lived experience in designing learning for these tools
- Instructional Literacy: Experience with cohort-based or online content creation, specifically within technical or professional training

Regulatory Knowledge: Experience working within regulated structures (e.g., UK Apprenticeship Levy) is a significant plus.

## 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.pdfand 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)

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