Senior Engineering Manager

Multiverse is the upskilling platform for AI and Tech adoption.

We have partnered with 1500 companies to deliver a new kind of learning thats transforming todays 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 theyve 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 Europes first EdTech double unicorn.

But we arent stopping there. With a strong operational footprint and 800 employees we have ambitious plans to continue scaling. Were building a world where tech skills unlock peoples potential and output.

Join Multiverse and power our mission to equip the workforce to win in the AI era.

Why this role exists

Every foundation model lab is solving the same problem: build more capability. Almost nobody is solving the harder one what happens when that capability meets a real organisation and real people who have to relearn how they work. Thats the adoption layer still wide open and Multiverse sits in the unique position to solve this problem with ten years of proprietary learner and employer data driven from 1500 companies that no one else has.

Diagnose & Prescribe (D&P) is the engine room of that problem. It works out what a learner or employer actually needs then decides what they get funded for and which apprenticeship or learning path theyre pointed to next. D&P is how we assess a learners or employers skill gaps decide what they need and point them to the right apprenticeship or learning path so the blast radius here is human and financial not just a dashboard metric.

The line between leading this team and building the product has already blurred which is why this role exists as it does. We need a leader who stays close enough to the work to have credible judgment in it and who builds a high-trust team where diverse perspectives actually make the problem-solving better.

This is a broad domain-coherent event-driven and increasingly AI-native estate. The dominant challenge isnt deep algorithmic difficulty in any single repo its holding the whole D&P picture sequencing work across varied services and keeping load-bearing decisions safe as the system evolves underneath you.

What youre signing up for

• A genuinely unsolved problem the constraint here is people and adoption not model capability.

• High agency. We set outcomes not playbooks. You and your team define how this evolves.

• Real commercial breadth. This team sits at the intersection of Product go-to-market and eligibility closer to the customer than most engineering roles.

• Craft thats respected not traded off. Strict typing layered testing ADRs observability and AI-native ways of working as the baseline not an experiment.

• A company mid-transformation told straight. Multiverse is rebuilding itself into a product-powered AI-native company in real time. Youre not inheriting a finished system youre one of the people defining it.

What youll do

You will own delivery technical direction and team health in the D&P service estate the full learner and customer journey from diagnosis through prescription to onboarding and growth tracking. Concretely that means leading the team(s) across surfaces like:

• Diagnosis & needs assessment AI-heavy services (retrieval-augmented generation (RAG) LLM-scored assessment) that turn raw signal into a picture of where a learner or employer actually is.

• Prescription & eligibility build the product which helps learners and customers understand the best learning course for their skills and career development that leverages a customers levy funds. Much of this is load-bearing logic with a genuine financial and regulatory blast radius.

• Recommendation & onboarding turning a diagnosis into the right prescribed path and getting learners into it where those decisions become visible to customers and learners.

• The platform arc continuing to carve D&P logic out of the shared legacy monolith into dedicated services while backing the newer AI-native product from beta toward scale.

• Coach and build the team. Hire well give every report a real growth plan and move the team into a high-performing AI-native operating rhythm promotions and performance issues are never a surprise.

• Stay hands-on. Whiteboard distributed designs review and negotiate the RabbitMQ event schemas and API contracts that ripple across services and write production code yourself when its the fastest way to de-risk or unblock.

• Deliver predictably. Use cycle time change failure rate and MTTR to balance shipping speed debt and change-safety on logic with genuine financial and regulatory blast radius.

• Raise the AI-native bar. Prove better discovery-to-build-to-review loops on your own team and share what works across engineering.

• Partner on strategy. Work directly with Product and Design and closely with go-to-market to turn learner and customer behaviour into technical direction on the surfaces where eligibility and recommendation decisions become visible to real customers.

What we need

A few terms youll see below: D&P (Diagnose & Prescribe this teams name) BAM (our hiring framework Behaviour Achievement Mastery) ADRs (architecture decision records) IfATE (the UK body governing apprenticeship standards).

• Engineering management of full-stack teams shipping production software with real technical depth to review architecture and challenge design.

• A team you led has shipped AI features to real users and operated them not a side experiment.

• Strong Python/TypeScript (if you dont have Typescript you will need to learn): React/ (App Router RSC server actions) tRPC/GraphQL Node/Express.

• PostgreSQL at scale via an ORM with migration discipline on large live schemas.

• Event-driven systems on a message bus (we use RabbitMQ) versioned events idempotency backward-compatible migration.

• A high engineering maturity bar as second nature: typing testing feature flags ADRs CI/CD observability.

• AI-native delivery in practice you build daily with Claude Code Cursor or the current best tool and understand context management model selection tool design and the token economics that separate a prototype from an affordable production system.

What sets you apart

• GTM/acquisition-funnel experience youve owned surfaces where onboarding and eligibility meet real customers.

• Strangler-pattern pragmatism legacy monolith and greenfield edge-native product at the same time.

• Accessibility and UX as defaults on learner-facing surfaces not afterthoughts.

Not for you if

This role wont fit if youd rather run ceremonies than stay in the system the design and the code yourself. It also wont fit if you see AI tooling as a productivity tweak rather than a step change in how a team works. And it needs someone who renegotiates the scope out loud when its wrong not someone who absorbs it and hopes it works out.

Stack & how we lead

TypeScript core (React/ Node) with PostgreSQL and RabbitMQ as the event backbone plus Python and Elixir services from RAG pipelines to a Claude-powered edge-native product. GitHub CircleCI Datadog. AI-assisted development is first-class not bolted on.

Youll lead full-stack engineers (with Python/Elixir specialists) report to the Senior Director of Engineering for Diagnose & Prescribe and calibrate regularly with a peer group of EMs youre not doing this alone. We reject micro-management: we set the objective you and your team own the how. Kindness candour and curiosity over hierarchy bad news travels as fast as good.

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 - youll 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 thats always stocked!

Our Commitment to Diversity Equity and Inclusion

Were 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 Childrens 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.

Required Experience:

Manager