Staff Software Engineer - AI Adoption Product at Multiverse
London, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

04 Dec, 25

Salary

0.0

Posted On

04 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

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 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

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 and shape the technical direction of 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.

As a Staff Software Engineer, you will be a technical leader and a force multiplier, tackling our most complex and ambiguous challenges. You will move beyond feature development to architecting the core systems and setting the technical strategy that will enable us to scale. 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, adaptable 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.

Responsibilities
  • Architect & Build Foundational Systems: Design, build, and operate the core architecture of our new AI Adoption Platform, ensuring it is scalable, reliable, and extensible for future innovation.
  • Drive Technical Strategy: Partner with engineering and product leadership to define the long-term technical roadmap, making critical decisions that will shape the platform for years to come.
  • Solve Ambiguous, High-Impact Problems: Take the lead on our most complex technical challenges, navigating ambiguity to break down large-scale problems into clear, actionable plans for the team.
  • Elevate the Engineering Bar: Act as a technical mentor and role model for other engineers. You will elevate the team’s capabilities through code reviews, design discussions, and by championing best practices.
  • Lead Cross-Functional Initiatives: Drive technical alignment and influence outcomes across engineering, product, and design teams, ensuring we build cohesive and powerful solutions.
  • Champion Innovation & Pragmatism: Explore, prototype, and advocate for new technologies (including AI-assisted tools like Cursor or Gemini) while balancing speed of delivery with long-term sustainability.
Loading...