Product Manager

Sports betting, gaming and interactive entertainment is changing, and we're leading that change. By putting people first. By placing exciting, engaging and entertaining experiences at more fingertips than ever before. We're pulling into pole position by pushing boundaries further. With innovation. With technology. But most importantly, with people like you. Because when you join Entain, it's your game. So let's win together.

As a Product Manager, you'll bring your product expertise into a new way of working. You won't just write specs and manage roadmaps — you'll define missions, validate outcomes with data, and use AI to accelerate discovery, analysis, and delivery. You'll work in a small, mission-driven cross-functional team called a pod — three functions (Product, Engineer, Quality) with high agency, shared ownership, and no hand-offs. Reporting to the Product Leader, you'll join the Product & Technology Team. Are you ready to be part of a team that's redefining how products get built in an AI Native setup?

Define and own the pod's mission — the business outcome, the target customer, the success metrics. Validate ideas with data and customer insight before committing the pod to build. Use AI agents for discovery, competitive analysis, spec writing, and backlog health. Write specs that both humans and AI can parse — clear acceptance criteria, clear "why". Operate in continuous flow (Kanban) — prioritise ruthlessly, respect WIP limits, ship daily. Map dependencies and integration points across teams. Unblock the pod before it gets blocked. Get your hands dirty — prototype, script, or contribute code with AI assistance when it moves the mission faster. Understand the engineering decisions behind the product — architecture trade-offs, system constraints, deployment impact. Track mission KPIs in production and use outcomes to steer what comes next. Collaborate across pods, stakeholders, and commercial partners spanning multiple geographies.

Engineering Mindset — What We Look For We assess every candidate across six core dimensions: AI Fluency — AI is the primary way we engineer. You prompt, evaluate, iterate. Manual coding is a deliberate choice, not the default. Cross-Functional Versatility — "That's not my area" doesn't exist. You contribute beyond your discipline, share openly, and communicate clearly across formats. Customer and Value Awareness — Ask "why" and "for whom" before "how". Zoom out to see the business, zoom in to trace the bug. Map dependencies before you build. Craft — Pride in the quality of what you create — specs, prototypes, or code with AI assistance. Clear structure, attention to detail, and a bar that applies to every artefact you ship. Technical Curiosity — Build a prototype and break it before reading the docs. Stay curious about how things work. Agency & Entrepreneurship — Don't wait for permission. Own outcomes end-to-end, make others successful, challenge the status quo. Must Have Experienced Product Manager with a track record of delivering excellent digital experiences. Strong product strategy, discovery, and prioritisation skills — RICE, impact mapping, or equivalent. Ability to write clear specs and acceptance criteria that engineering and AI agents can act on. Data-driven decision making — comfortable with KPIs, A/B testing, analytics, and customer research. Proficiency with AI-assisted workflows — using AI for discovery, competitive analysis, spec writing, and validation. Experience managing dependencies and stakeholders across international, cross-functional teams. Excellent communication skills — written, verbal, and presentation — with the ability to adjust for audience. Experience with Jira, Confluence, and product lifecycle tooling. Ability to mentor other Product Managers — onboarding new PMs and supporting the growth of