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Product Manager

Entain — Austria · Posted ~2 hours ago

Mid Full-time Visa History ✓

Skills

product management product strategy data analysis customer research product discovery roadmap management writing specifications acceptance criteria AI-assisted product development AI AI Agents Data Analytics

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Summary ✨ AI‑Generated

A Product Manager role in an AI-native product development environment, responsible for defining missions, target customers, business outcomes, and success metrics. You will validate ideas using data and customer insight, use AI agents for discovery and analysis, write clear specifications and acceptance criteria, and work with a small cross-functional team with shared ownership.

Highlights

High-agency product role centered on measurable outcomes rather than traditional hand-offs. The position combines customer insight, data-driven validation, AI-assisted discovery and analysis, clear specifications, and close collaboration with engineering and quality functions.

Description

Job DescriptionAs 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? What You Will Do 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.