Senior Research Manager

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 June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK’s first EdTech 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, we blend AI-powered coaching, applied learning, and human support to help people and businesses make real-world impact.

To build truly intelligent, human-centred products, we need a stronger foundation of insight. That’s where you come in.

We’re hiring a Senior Research Manager to lead and scale user research across the organisation. You’ll own the cross-functional research function, ensuring every team—from Learning to Tech to Delivery—has access to powerful, actionable insights that are applied, not just generated.

You’ll report to the Director of Experience Design, and partner closely with 3 Product Directors and 2 Product Design Managers to embed research into decision-making at every level.

What You’ll Do

• Lead high-impact, cross-functional research that directly shapes product and business strategy.

• Build a unified, searchable, taggable insight repository that empowers teams to self-serve and trust research as a source of truth.

• Ensure research insights are applied across the business—collaborating with Product Directors and Group Leads to influence roadmaps, priorities, and decisions.

• Champion the voice of both customers and learners at the executive level, while supporting teams to take ownership of insight locally.

• Establish and scale regular “User Connect Sessions” where product teams join customer calls and/or conduct lightweight research weekly.

• Actively contribute to experience reviews, embedding customer insights in every journey and interface.

• Run quarterly insight playbacks to surface the top customer and learner pain points that inform leadership priorities.

• Operate as a 60:40 player-coach: drive insight work directly while building, managing, and mentoring a high-performing research team.

• Support direct reports with clear development goals and timely, consistent feedback. Inspire and upskill the team with latest UXR thought leadership and best practice

• Continually raising the bar and quality of research at Multiverse through improved UXR ops and impact tracking

• Leverage AI tools to streamline research workflows—e.g. synthesis, tagging, pattern recognition—while maintaining rigour and ethics.

• Enable non-researchers to confidently run foundational research and gather insight through training, coaching, and ops support.

• Create and track research KPIs to show impact on business outcomes such as retention and CSAT.

About You

• 8+ years of user research experience in a high-growth or fast-paced tech company.

• Minimum 3+ years managing user researchers with a proven track record of developing talent and building high-trust teams at more than one company.

• Proven experience in influencing cross-functional teams and senior stakeholders, including Product, Engineering, Learning, Delivery, and SLT.

• Expertise in a wide range of qualitative and quantitative research methods.

• Strong synthesis and storytelling skills, including the ability to create executive-ready summaries that land.

• Experience using AI tools to speed up and scale research workflows without compromising quality and ethics.

• A collaborative, systems-thinking mindset that drives clarity, quality, and curiosity across the product development lifecycle.

• Deep belief in continuous learning and building a culture of evidence-based decision-making.

Bonus Points If You Have...

• Experience working in applied learning, coaching, or enterprise SaaS environments.

• Worked with LLM engineers, prompt designers, or designed AI-native research tooling/workflows.

• Experience setting up confidence-level scoring or ROI metrics to track research application and business impact.

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 - we collaborate in the office 3 days per week

• Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year

• Team fun - weekly socials, company wide events and office snacks!

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.

Safeguarding

All posts in Multiverse involve some degree of responsibility for safeguarding. Successful applicants are required to complete a Disclosure Form from the Disclosure and Barring Service ("DBS") for the position. Failure to declare any convictions (that are not subject to DBS filtering) may disqualify a candidate for appointment or result in summary dismissal if the discrepancy comes to light subsequently.