AI Engineering Manager

Multiverse

. Own delivery, technical direction and team health across the Diagnose & Prescribe service estate .

Posted 11/11/2026full-timeLondon • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in engineering management of full-stack teams, with a strong focus on AI-native product delivery and technical direction. Proficient in Python, TypeScript, and modern web frameworks, while ensuring high standards in architecture, design, and team development.

Highest-signal resume keywords

Engineering ManagementAI Feature DeliveryPython ProgrammingTypeScript DevelopmentEvent-Driven Systems

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonTypeScriptReactNext.jsTRPCGraphQLNodePostgreSQLRabbitMQAI-Native Delivery

Soft Skills

Team LeadershipGrowth PlanningCollaborationCommunication

Tools & Technologies

RabbitMQORMCI/CDClaude CodeCursor

Certifications & Qualifications

Basic DBS CheckEnhanced DBS Check

Industry Keywords

AI-Native ProductsGTM ExperienceAccessibilityUX DesignLegacy Monolith

Tech Stack

Tools & technologies

GraphQLJavaScriptNext.jsNode.jsPostgresPythonRabbitMQReactTypeScript

About the role

Key responsibilities & impact

Own delivery, technical direction and team health across the Diagnose & Prescribe service estate
Lead the learner and customer journey from diagnosis through prescription to onboarding and growth tracking
Lead diagnosis and needs-assessment services using RAG and LLM-scored assessment
Build prescription and eligibility products that recommend learning courses and leverage customers’ levy funds
Oversee recommendation and onboarding experiences
Continue carving Diagnose & Prescribe logic from the shared legacy monolith into dedicated services
Back the newer AI-native product from beta toward scale
Hire well, provide growth plans and develop a high-performing AI-native team
Whiteboard distributed designs and review and negotiate RabbitMQ event schemas and API contracts
Write production code to de-risk or unblock work
Use cycle time, change failure rate and MTTR to balance delivery speed, technical debt and change safety
Raise AI-native discovery-to-build-to-review practices and share effective approaches across engineering
Partner with Product, Design and go-to-market to turn learner and customer behaviour into technical direction
Report to the Senior Director of Engineering for Diagnose & Prescribe and calibrate with a peer group of Engineering Managers

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 led by the candidate has shipped and operated AI features for real users
Strong Python and TypeScript; willingness to learn TypeScript if needed
Experience with React/Next.js, including App Router, RSC and server actions
Experience with tRPC/GraphQL and Node/Express
PostgreSQL at scale via an ORM, with migration discipline on large, live schemas
Experience with event-driven systems on a message bus, including RabbitMQ, versioned events, idempotency and backward-compatible migration
Engineering maturity with typing, testing, feature flags, ADRs, CI/CD and observability
Practical AI-native delivery using Claude Code, Cursor or the current best tool
Understanding of context management, model selection, tool design and token economics for production AI systems
GTM/acquisition-funnel experience is an advantage
Strangler-pattern pragmatism across a legacy monolith and greenfield edge-native product
Accessibility and UX as defaults on learner-facing surfaces
Successful applicants must undertake at least a Basic DBS check; applicable regulated roles require Enhanced DBS checks, including Children’s Barred List and Prohibition Order checks
Ability to work in the Paddington office 3 days per week
Right to work in the UK

Benefits

Comp & perks

27 days holiday (including 3 winter shutdown days) and bank holidays
5 extra days off (1 life event, 2 volunteer days and 2 summer shutdown days)
Bupa private medical insurance
Medical cash back plan
Therapy through Spill
Gym access through Wellhub
Share options for every permanent employee
Life insurance at 3x salary
Workplace pension with 4% contribution from the employer
Cycle to Work
Tech Scheme
Enhanced maternity and paternity leave
Adoption and shared parental leave
Paid leave after pregnancy loss
Workplace nursery scheme
Hybrid working with 10 days a year to work from anywhere
Quarterly team socials
Company-wide events
Happy hours
Lunch delivered to the office once a week
Fully stocked snack bar and drinks fridge