Multiverse · London
Senior Software Engineer
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 t...
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
It's an incredible time to join the Engineering team at Multiverse, the UK's first edtech unicorn, as we equip the workforce to
win in an AI era. You have a real opportunity to impact the lives of thousands of people — not by picking up tickets, but by
building the engine that gets more people into transformative learning, faster.
The Mission
Multiverse is reshaping the future of workforce development. Growth at Multiverse is a product problem, not a marketing problem —
and increasingly the answers to those problems run through AI. You will join a domain team, gain deep knowledge of our products,
and play a central role in delivering scalable, user-focused learner experiences across the platform.
The Product
Our platform now serves tens of thousands of learners, and demand for AI skills is accelerating. You won't be handed a spec —
you'll be in discovery, shaping what we build and why. Every feature you ship connects directly to a learner outcome, and you'll
be expected to own that connection from design through to deployment.
The Team
You will be joining a high-growth, high-impact cross-functional tribe spanning product, engineering, design, and AI innovation. We
foster a culture of engineering craft, structured experimentation, and rapid innovation. We value engineers who are comfortable
swimming in the deep end, who care deeply about the intersection of AI and user experience, and who are excited to solve complex
scaling challenges.
This is a high-trust, hands-on building environment, supported by "10% time" for experimentation and weekly knowledge-sharing. We
embrace a "re-teaming" culture — giving you the high-agency opportunity to dynamically form teams around business priorities,
tackle new disciplines, and accelerate your career.
The Challenge
You will tackle bold problems to drive our scaling efforts:
- Activate Learners: Build AI-driven onboarding flows that adapt in real time to what a learner already knows, how they prefer to
engage, and where they need support.
- Drive Engagement: Partner with AI Engineers to develop personalised learning experiences that adapt to individual pace,
context, and need.
- Scale Systems: Operationalise AI-generated content at scale across our end-to-end messaging systems — defining the guardrails
that ensure output feels relevant and human.
Ship Code: Deliver high-quality architecture and write production code across our core stack: AWS, React, and TypeScript.
AI Fluency
This role sits at the intersection of AI and product. We don't treat AI as an add-on or an experiment — it is our engine. We
expect you to be a practitioner:
- You use AI-assisted development tools (e.g. Claude Code, Cursor, Gemini) as a natural part of your daily workflow — to
accelerate velocity, raise code quality, and explore solution space faster.
- You evaluate AI output critically. You know when to trust it, when to push back, and how to iterate toward something
production-worthy.
- You've worked with LLM APIs or agentic frameworks in a real product context and understand their failure modes — hallucination,
latency, cost, and user trust.
- You bring a product builder's instinct to AI features: you're asking "does this actually help the user?" not just "does this
technically work?"
Your Impact
As a Senior Software Engineer, your mastery drives direct business outcomes. We expect you to:
- Execute as an Owner: Independently lead initiatives from design to deployment. Avoid over or under-building — arrive at
implementations that solve the problem, deliver customer value, and scale.
- Elevate Technical Excellence: Zero tolerance for user issues. Launch bug-free systems with proactive monitoring and
instrumentation built in from day one.
- Scale Simplicity: Identify and manage technical debt, leaving the codebase cleaner than you found it. Understand a problem with
multiple solutions, consider trade-offs, and settle on the most suitable design before building.
- Multiply Your Team: Help less experienced engineers grow through mentoring, pairing, and code reviews. Proactively unblock
peers.
- Embrace High Agency: Thrive in our re-teaming environment — collaborate across functions, adapt to shifting priorities, and
bring an owner's mindset to ambiguous challenges.
- Communicate Clearly: Inspire confidence when presenting complex technical concepts to both technical and non-technical
stakeholders.
- Take Initiative: Pull up a chair in discovery. Work alongside product and design to shape the problem before the solution is
fixed. Name bottlenecks early and act on them.
- Stay Metric Obsessed: Track and understand product and engineering metrics alike — and always connect them to the business
result they ladder up to.
- Grow Continuously: Treat setbacks as a signal, not a failure. Make calls without perfect data, change direction when new
information arrives, and see the current state as a starting point.
Operating Principles in Action
We evaluate and drive performance through our BAM framework (Behaviours, Achievement, Mastery):
- Solve for Customer Value: Every decision starts with: "How does this create value for our paying customers?" Prioritise work
that directly benefits the learner over internal convenience or habit.
Drivers, Not Passengers: Own outcomes. Don't wait for permission to fix a problem — lead the solution, take others with you.
- Be Decisive, Even in Ambiguity: Launch imperfect solutions, test, learn, and course-correct quickly. Don't let fear of the
wrong call stall progress.
- AI to Deliver Outcomes: AI is your co-author, not a shortcut. Use it to go faster and build better — but direct it
deliberately, challenge its output, and hold the quality bar.
Interview Process
Initial Screen: A brief conversation about your background, achievements, and impact.
- AI-Assisted Technical: A coding and system design exercise where you use AI tools to build. We assess how you direct, evaluate,
and iterate on AI output — not just whether you can use it. We then deep dive into your technical mastery and architectural
thinking.
Architecture & Behaviours: How you live our Operating Principles — ownership, decisiveness, and how you bring others along.
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 - 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
- Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that’s always
stocked!
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.
Our Commitment to Safeguarding
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.
Role
Senior Software Engineer
Location
Published
July 14
Deadline
August 16
Source