Senior Engineering Manager

Multiverse

Senior Engineering Manager at Multiverse overseeing delivery and technical direction for AI-driven learning paths. Leading teams to improve tech skills and productivity in a transforming workforce.

Posted 7/3/2026full-timeLondon • 🇬🇧 United KingdomSeniorWebsite

Tech Stack

Tools & technologies

GraphQLJavaScriptNext.jsNode.jsPostgresPythonRabbitMQReactTypeScript

About the role

Key responsibilities & impact

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.
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.
build the product which helps learners and customers understand the best learning course for their skills and career development, that leverages a customer's levy funds.
turning a diagnosis into the right prescribed path and getting learners into it, where those decisions become visible to customers and learners.
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.
Hire well, give every report a real growth plan, and move the team into a high-performing, AI-native operating rhythm.
Whiteboard distributed designs, review and negotiate the RabbitMQ event schemas and API contracts that ripple across services, and write production code yourself when it's the fastest way to de-risk or unblock.
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.
Prove better discovery-to-build-to-review loops on your own team and share what works across engineering.
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.

Requirements

What you’ll need

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 don’t have Typescript, you will need to learn): React/Next.js (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.

Benefits

Comp & perks

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
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!

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Hard Skills & Tools

PythonTypeScriptReactNext.jsTRPCGraphQLNodeExpressPostgreSQLEvent-Driven Systems

Soft Skills

Team LeadershipGrowth PlanningCollaborationCommunicationProblem-Solving