Champion AI across the business: identify opportunities, demonstrate what is possible, and build enthusiasm for AI-driven ways of working
Act as the bridge between the AI engineering team and the business, ensuring initiatives are grounded in real operational need and that both sides understand each other
Build simple, high-impact solutions where a quick prototype or lightweight automation solves the problem without a full engineering build
Run the internal AI portfolio end-to-end: prioritise initiatives, scope them with clear success criteria and named business owners, define requirements for engineering, and track ROI and progress against outcomes
Run the operating cadence and produce high-quality leadership outputs: decision memos, portfolio reviews, and executive updates
Use AI tools daily to synthesise, draft, prototype, and accelerate your own work. Stay close to the frontier and bring relevant developments to the team proactively

4+ years of experience in product management, technical programme management, or delivery leadership in a software or AI environment; or 3+ years in AI engineering or senior data science with a desire to move into a product ownership role
Strong working understanding of modern AI systems: LLM-based workflows, agentic architectures, applied automation, and evaluation
Hands-on, daily use of AI tools (Claude, ChatGPT, Copilot, Cursor, or similar) as genuine productivity multipliers
Experience working directly with senior stakeholders and translating strategic priorities into executable plans
Excellent written communication: requirements, briefs, decision documents, and reporting for mixed technical and non-technical audiences
Strong commercial judgement and ability to connect product decisions to business value.
Experience building or shipping internal AI products, workflow automation, or agentic systems (desirable)
Exposure to LLM evaluation, prompt engineering, RAG pipelines, or agentic workflow design (desirable)
Background in or close to software engineering, with an understanding of what shipping involves (desirable)
Experience with enterprise AI tool deployments (ChatGPT Enterprise, Gemini, Cursor, or similar) (desirable)
Familiarity with AI governance, responsible AI, or data protection in a commercial context (desirable)
Experience in EdTech, accessibility, or a mission-driven technology organisation (desirable)

Principal Product Manager, AI

Key skills