Senior Software Engineer - AI Adoption Product
MultiverseLondonPosted 26 March 2026
Job Description
Senior Software Engineer - AI Adoption Product
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.
Having built a thriving upskilling apprenticeship business we are now doubling down on our AI strategy with the launch of a groundbreaking AI Adoption Platform. This new venture operates as a ‘startup’ within the business, leveraging Multiverse's established customer base, intellectual property, and experienced team. Our MVP has already demonstrated 7x adoption results in initial pilots by delivering personalized, role- and tool-specific AI use cases and upskilling at scale, enhanced by social features and measurable ROI. We are building a dedicated team to rapidly develop and scale this platform, and we're looking for pioneering individuals to drive its market success from the ground up.
This is a rare opportunity to:
- Develop a category-defining product with proven initial traction into a greenfield UK market
- Solve a massive enterprise pain point that affects every major global company
- Build something from scratch while leveraging proven playbooks and IP
- Shape the future of work in the AI era.
ABOUT THE ROLE
We are building a small foundational team of engineers to build and iterate on our new adoption platform. You’ll be working closely together with our AI Adoption Team to build new features from scratch, quickly iterating to improve them as we get customer feedback and continue to evolve our offer.
This is a fast paced, scrappy and highly collaborative team, working to solve complex and compelling engineering challenges. We’ll provide you with the support, autonomy, and flexibility you need to do your best work. We believe in creating an environment where everyone can thrive and grow, supported by mentorship, learning opportunities, and a strong team culture.
YOU’LL SUCCEED IN THIS ROLE IF YOU:
- Care deeply about software engineering and want to continuously develop your craft
- You thrive in ambiguity and with open-ended briefs
- Are passionate about the 0 to 1 stage of product development
- Enjoy working collaboratively and helping others succeed
- Work effectively in partnership with peers and stakeholders to make decisions
- Are adaptable and curious about learning new tools, frameworks, and technologies
- Are excited about exploring the potential of AI-assisted development (e.g., tools like Cursor or Gemini) to enhance quality and velocity
ABOUT YOU:
- Experience working in cross-functional product teams (typically 5+ years, but we welcome strong candidates with equivalent experience)
- Ability to design, develop, and maintain new products from scratch
- Excited about working on greenfield projects
- Comfortable choosing the right tools for the job—our stack includes Python, TypeScript, React, Elixir, AWS
- Skilled at working across the development lifecycle—from requirements to deployment and ongoing support
- Collaborative, with experience mentoring or supporting other team members
BENEFITS
- Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer d ... (truncated, view full listing at source)
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