Lead the design and delivery of AI-powered internal tools and systems that enable refurbed to operate as an AI-native company under our AI & Tech Transformation program. Act as a product-minded senior back-end engineer for internal AI across teams to identify opportunities, architect solutions, and directly build the back-end services and integrations that embed AI and automation into how employees work. Partner closely with the Head of Internal Technology & AI on strategy, planning, and execution while providing technical leadership to teams, working closely with core platform Engineering for support. Success in this role is measured by productivity improvements, enabling new capabilities, and adoption of AI tools and new ways of working across the company.

WHO YOU ARE:

• Proven track record as a senior/staff back-end engineer with hands-on experience building production systems in Go, Python, or similar; comfortable designing for scale, reliability, and cost on GCP
• Experience building AI/LLM-powered systems in production - from prototyping with model APIs through deployment, observability, and iteration
• Strong product instincts in the classic PM sense - has owned a product area end-to-end with discovery, PRDs, roadmap, success metrics, and measurable outcomes; not just "used AI tools as a backend engineer"
• Stakeholder management across senior leaders and department teams; able to align people around trade-offs and unblock cross-functional delivery
• Comfortable balancing IC engineering work with technical leadership: setting direction, reviewing designs, and mentoring others without losing hands-on fluency
• Deep, practical fluency with modern AI tooling and active engagement with the fast-moving ecosystem - has worked extensively with multiple coding assistants (e.g. Claude Code, Codex, Cursor), knows how to structure, build, and install skills/plugins/marketplaces, can design and integrate MCPs, and works fluently with subagents and agent harnesses; able to make informed build vs. buy trade-offs

Location & eligibility: This role is open to candidates based in Europe (including UK) only with a valid right to work.

WHAT YOU WILL DO:

Back-end engineering & architecture

• Design and build back-end services, APIs, and integrations with external tools, services, and models that power internal AI tools and systems, designing for scale, reliability, and cost
• Lead the architecture and design of internal AI tools and systems that support company-wide productivity and automation goals, leveraging the existing data foundation and platform tooling
• Define technical approaches, evaluate trade-offs (build vs. buy, model selection, integration patterns), and create implementation roadmaps
• Implement and refine tooling standards, runtime, and best practices for AI development within the governance framework set with the Head of Internal Technology & AI

Product management & discovery

• Run deep-dive discovery on prioritised use cases from the AI portfolio, and surface bottom-up opportunities to feed into it
• Own the product roadmap for internal AI tools - translating messy, cross-functional problems into clear requirements, PRDs, and milestones
• Ship company-wide shared AI services and a baseline AI toolkit every new joiner gets on day one
• Partner with the Head of Internal Technology & AI on strategy execution, technical feasibility assessments, and prioritisation

Cross-functional enablement & technical leadership

• Drive cross-functional technology initiatives to embed AI into internal workflows, partnering with stakeholders across the business
• Provide technical leadership and guidance to teams working on AI-related projects - review designs, set direction, unblock delivery
• Support adoption of the internal AI tools you build, through demos and hands-on integration guidance
• Stay current on AI/ML trends and tooling to inform strategic decisions and identify new opportunities