Everway - Principal Product Manager (AI)

• 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 • Essential Criteria • Essential Criteria • 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 • Desirable Criteria • Desirable Criteria • Experience building or shipping internal AI products, workflow automation, or agentic systems • Exposure to LLM evaluation, prompt engineering, RAG pipelines, or agentic workflow design • Background in or close to software engineering, with an understanding of what shipping involves • Experience with enterprise AI tool deployments (ChatGPT Enterprise, Gemini, Cursor, or similar) • Familiarity with AI governance, responsible AI, or data protection in a commercial context • Experience in EdTech, accessibility, or a mission-driven technology organisation