Talent Partner at Multiverse | GB | Rezi

Talent Partner at Multiverse

Talent Partner

Multiverse · GB

3 weeks ago

Talent Partner

Multiverse · GB

25 days ago
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About the Role

Multiverse's mission is to equip the workforce to win in the AI era. Joining us means being part of a talented team, tackling the challenges of being in a scaling organisation solving complex problems, whilst contributing to our company and product growth. As a team, we always prioritise quality - you’ll hold the hiring bar whilst keeping pipeline moving when there’s commercial pressure to move fast.

Responsibilities

  • Run recruiting for your roles end-to-end: attraction and sourcing, qualifying and hiring top talent for Multiverse.
  • Partner with hiring managers to expertly qualify requirements, challenge assumptions using market data and past hiring experience, and build a shared understanding of what good looks like.
  • Design structured interview and assessment processes for the roles you own.
  • Be an exceptional operator, running processes that focus on the very highest quality of hire as we scale, and make the most of your tech stack to do so.
  • Manage candidate relationships end-to-end: anticipating candidates’ needs and questions, tailoring your communication to their profile and stage in the pipeline, building buy-in and providing high quality, timely feedback.
  • Analyse pipeline data to identify where a hiring process is breaking down, and use those insights to adjust your sourcing or process.
  • Partner with your colleagues across the People and Talent team to ensure we’re collectively driving the right talent outcomes for Multiverse.

Requirements

  • Proven experience in a recruiting or Talent Partner role, supporting multiple hiring managers, ideally in a scaling, highly agile business environment.
  • You can credibly partner with managers, and are confident using market knowledge to advise constructively.
  • You can evaluate candidates effectively, and stay regularly calibrated with your hiring team.
  • You build strong candidate relationships, understanding skills, motivations and decision criteria, and handle feedback conversations well.
  • You’re comfortable with data, and use it alongside qualitative feedback to spot problems and change course.
  • 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.
  • You don’t want to run things end-to-end.
  • 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.

Skills

  • AI
  • Data
  • Tech
  • Recruiting
  • Talent Partner
  • Market knowledge
  • Pipeline data analysis
  • Stakeholder relationships
  • Candidate experience
  • Ashby
  • Claude
  • Gemini
  • Juicebox
  • Brighthire
  • LinkedIn

Location

  • Hybrid

Work Type

  • 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

Experience Level

  • We value competence more than years of experience

Benefits

  • 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
  • Private medical Insurance with Bupa
  • A medical cashback scheme
  • Life insurance
  • Gym membership & wellness resources through Wellhub
  • Access to Spill - all in one mental health support
  • Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that’s always stocked!

About the Company

  • 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.

Equal Opportunity

  • 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.
  • 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.