---
title: 'Senior Talent Partner at Multiverse'
canonical: 'https://feeny.ai/job/senior-talent-partner-multiverse-london-djcwq49mrdvw'
type: 'job'
last_seen: '2026-10-14'
---

# Senior Talent Partner at Multiverse

- **Company:** Multiverse
- **Location:** London, United Kingdom
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-13
- **Last confirmed live:** 2026-10-14
- **Apply:** https://jobs.ashbyhq.com/multiverse/b78d92e4-b3db-4dcb-8a8c-b4ec30a4718e

## 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 role: As a Talent team, we always prioritise quality - you’ll hold the hiring bar whilst building strong pipeline velocity when there’s commercial pressure to move fast and handling the ambiguity of a scaling organisation solving complex problems. In your role as Senior Talent Partner, you’ll act as a genuine advisor to stakeholders, and own end-to-end recruitment processes. You’ll show up prepared, with deep market intelligence for your function and use it to shape recruiting strategy before you’re asked. You’ll use hiring data to show where the process is working and where it isn’t. You use AI to power your productivity, and focus your time on what AI can’t do: building strong, agile stakeholder relationships, giving candidates an exceptional experience and building connections. Teams you’ll support: Operations - this is our learner-facing org who work day-in-day-out to give our apprentices a great learning experience and provide measurable value to our customers; and G&A - our core business partnering teams across People and Talent, Finance, Legal, CEO Office and Comms. If you have experience as a Talent Partner, have done so somewhere with a high talent bar, and are genuinely excited about being at the forefront of a fast-evolving recruiting role, we'd love for you to apply.

What you’ll do:

- Run recruiting strategies end-to-end: attraction and sourcing, qualifying and hiring top talent for Multiverse. We have a high hiring bar, and you’ll partner closely with our managers to assess the market, calibrate regularly, build rigourous and engaging assessment processes and make pivots based on data.
- You’ll work with hiring managers to expertly qualify requirements, understand trade-offs and build a shared understanding what good looks like.
- You’ll be an exceptional operator, running processes that focus on the very highest quality of hire as we scale and you’ll maximise your tech stack to do so. We invest in great tools (Ashby, Claude, Gemini, Juicebox, Brighthire, LinkedIn) to support you.
- You are able to manage candidate relationships end-to-end: evaluating, building buy-in, managing close plans, providing high quality feedback. You maintain relationships and build talent pools based on silver medallists.
- You’ll partner with your internal colleagues across the people and talent team to ensure we’re collectively driving the right talent outcomes for Multiverse.

What you’ll bring: We value competence more than years of experience, but you’ll most likely have the following to be successful:

- You embody our [Operating Principles](https://www.multiverse.io/blog/operating-principles) in how you work.
- You have proven experience in an in-house Talent Partner role, supporting multiple hiring managers, in a scaling, highly agile business environment.
- You can credibly partner with managers and build trust through delivery excellence.
- You can evaluate candidates effectively, and ensure you are regularly calibrated with your hiring team. You can pinpoint where you’ve helped design assessment and have influenced stakeholders to hold the bar.
- You can build strong candidate relationships, understanding skills, motivations and decision criteria. You can handle sensitive feedback conversations and compensation negotiations.
- You balance data with qualitative feedback to advise managers in their hiring strategy and approach.
- You are highly motivated and autonomous, but curious to learn and ask questions where you don’t know.
- You are building AI into your everyday workflows, and are rigorous in your approach to data hygiene to ensure good tools are built on even better data, and verify the outputs.

Why this role may not be for you:

- You don’t want to run things end-to-end. You’ll own your hires and how to deliver them here.
- You struggle with ambiguity; our business and skills requirements are evolving fast and we need to navigate through that with our hiring managers.
- You don’t get your energy speaking to candidates. We are building an AI-first team with the explicit intention of spending more time where it matters, in the market, speaking with top talent.

## 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)

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