AI Engineering Manager

As Engineering Manager for Diagnose & Prescribe, you lead delivery, tech direction, and team health across the D&P service estate. You shepherd the learner and customer journey from diagnosis through prescription to onboarding and growth tracking. You’ll shape how AI-enabled decision-making impacts real organisations, balancing risk and impact at scale. You work closely withProduct, Design, and GTM to turn behavior into technical direction and deliver an AI-native product. This is a chance to help define a transforming company at the forefront of AI-enabled learning.

• 27 days holiday incl. winter shutdown
• Private medical + cash back + therapy + gym
• Equity for all permanent employees
• Life insurance 3x salary, pension 4%
• Hybrid work: 3 days in office + 10 WFA days
• Cycle to Work and Tech Scheme

• Own delivery and technical direction for the D&P service estate, covering diagnosis, prescription, onboarding, and growth tracking
• Lead AI-heavy surfaces (RAG, LLM-scored assessment) to map learner/employer status
• Build prescription and eligibility logic leveraging levy funds with regulatory and financial considerations
• Oversee platform evolution: migrate D&P logic from monolith to dedicated services and scale AI-native product
• Develop and coach a high-performing team, with clear growth plans and performance management
• Maintain hands-on involvement: design reviews, API contracts, and production code when helpful to unblock
• Ensure predictable delivery using metrics like cycle time, change failure rate, and MTTR
• Raise the bar for AI-native practices and share learnings across engineering
• Partner with Product, Design, and GTM to translate behavior into technical direction visible to customers
• Lead full-stack engineers and collaborate with Python/Elixir specialists
• Operate with high engineering maturity: typing, testing, ADRs, CI/CD, observability

• Engineering management of full-stack teams shipping production software
• Prior experience shipping AI features to real users and operating them
• Strong Python/TypeScript (React/Next.js, App Router, RSC, server actions)
• Experience with PostgreSQL at scale and ORM migrations
• Experience with event-driven systems and RabbitMQ
• Proficiency in type-safe, test-driven development, ADRs, CI/CD, observability
• AI-native development experience using tools like Claude Code or similar
• Ability to review architecture, challenge design, and maintain safety in evolving systems
• Stakeholder collaboration across Product, Design, and GTM
• GTM/acquisition-funnel experience and familiarity with onboarding/eligibility workflows
• Strangler-pattern pragmatism balancing legacy and greenfield work
• Accessibility and user experience defaults on learner-facing surfaces

• High agency and initiative
• Strong communication and collaboration
• Kindness, candour, and curiosity over hierarchy
• TypeScript/React/Next.js
• Python
• Node/Express