Senior People Partner - GTM
Multiverse LondonEst. Est. GBP 70,000–95,000 / yearSenior
Estimated range based on role, country and industry — not published by 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.
Join Multiverse and power our mission to equip the workforce to win in the AI era.
The opportunity
At Multiverse, People Partnering is a driver of commercial performance, not a support function. We measure ourselves on whether the business performs better because we're in the room.
This role partners our GTM organisation — Sales, Customer Impact, B2B Marketing, Revenue Operations and Enablement. It's the largest, fastest-moving and most commercially exposed part of the company, and it's where people decisions show up in the numbers fastest.
You'll work directly with our CRO and his leadership layer. They are sharp, direct, and want a partner who brings a point of view and the data to back it. You'll operate as both advisor and operator: helping leaders make better decisions, and making sure the fundamentals are genuinely excellent underneath.
What you'll do:
Commercial partnering
Partner the CRO, Sales SVP and their leadership teams on performance, productivity and team effectiveness.
Translate commercial targets — pipeline, attainment, retention, revenue per head — into people plans that move those numbers.
Coach managers on performance, decision-making and holding a high bar. Challenge senior leaders directly when the call is wrong.
Org design, workforce planning and reward
Shape GTM org design, role clarity, levelling and spans in service of efficiency, not headcount growth.
Partner with Revenue Operations, Reward and Finance on comp structures, quota and incentive design
Bring rigour to headcount decisions: every role justified against commercial return.
Performance and talent
Own performance cycles, calibrations and promotion decisions across GTM.
Move early and decisively on performance management; build manager capability to do the same.
Build succession depth in a function where key-person risk is real.
Operating well at pace
Run complex ER and restructure work with sound judgement and clean execution.
Apply policy pragmatically and consistently in a fast-moving, commercially pressured environment.
Use AI to take the operational load out of partnering so your time goes to the work only you can do.
About you
Essential
You've partnered a quota-carrying sales organisation at a playbook or MEDDICC sales org, not just "commercial" teams generally.
You've been through an efficiency inflection, not only a growth one. You've helped leaders take cost out of an org without breaking revenue.
You're fluent in GTM numbers. Ramp time, attainment distribution, revenue per head, regretted vs non-regretted attrition, cost of sale — you can read them, interrogate them and act on them.
You handle complex performance and ER situations at volume, at pace, with judgement that holds up under scrutiny.
You don’t shy away from having the difficult but right conversation, managing to balance relationships at the same time
You're highly organised and detail-oriented. You know sustainable impact comes from strong fundamentals, not just good ideas.
You already use AI in
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