Senior Product Manager

About Entain’s Enterprise AI Team
At Entain, we’re transforming how a global entertainment leader uses Artificial Intelligence at scale — across customer experiences, operational efficiency, risk management, and strategic growth. Our Enterprise AI team builds the next generation of AI products and platforms that power decisioning, experiences, and competitive advantage across the business.

We are seeking a Senior AI Product Manager reporting into the Head of AI, to lead a core AI product area with strategic impact. This is a high-visibility, high-impact role with ownership of AI product vision, roadmap, and value delivery. You will partner closely with senior stakeholders across Technology, Commercial, Data, Risk & Compliance, and Business Ops to drive AI innovation that delivers measurable business outcomes.

What You’ll Do

• Define and own the product vision, strategic roadmap, and execution plan for a core area of Entain’s AI portfolio — whether platform, tooling, or end-user experiences.
• Translate high-level business goals into AI product strategy and measurable outcomes, securing alignment with executive stakeholders.
• Identify how AI can materially impact key business metrics (e.g., revenue growth, engagement, efficiency, risk metrics) and prioritise accordingly.
• Lead the full product lifecycle from discovery, user research, and ideation through delivery, iteration, and scale.
• Write and own Product Requirements Documents (PRDs), success metrics, and roadmaps, ensuring clarity and alignment across teams.
• Maintain a strategic yet pragmatic backlog, prioritising ruthlessly based on impact, feasibility, and risk.
• Work hand-in-hand with Engineering, Data Science, UX/UI, and other Product Owners to ensure a unified, omni-channel, scalable approach.
• Lead and influence without direct authority, driving cross-functional alignment and shared ownership of delivery outcomes.
• Partner with Commercial and Business Development teams to build strong product business cases, shape go-to-market considerations, and support adoption strategies.
• Develop deep understanding of stakeholder and customer needs across core business areas (e.g., Core Products, Sportsbook, Gaming, Internal Platforms).
• Use data and qualitative insights to inform product decisions, validate hypotheses, and optimise product performance over time.
• Actively scan the AI/ML ecosystem for emerging technologies, competitor trends, partner opportunities, and novel approaches that can accelerate value.
• Champion experimentation, prototyping, and iterative learning as integral parts of the product process.