Product Manager

About You β€” Germany Β· Posted ~1 hour ago

Full-time Visa History βœ“

Skills

product management product strategy data analysis customer research AI-assisted product development roadmap management requirements writing cross-functional collaboration AI agents data analytics

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Summary ✨ AI‑Generated

A Product Manager role in an AI-native, mission-driven environment where you will define business outcomes, target customers, and success metrics for a cross-functional product team. You will validate ideas using data and customer insight, leverage AI agents for discovery and analysis, write clear specifications, and maintain a healthy, outcome-focused backlog while working with engineering and quality specialists.

Highlights

High-agency product ownership in a small cross-functional team, strong emphasis on data-driven decision-making and customer insight, practical use of AI to accelerate product work, and shared ownership across product, engineering, and quality.

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 β€” 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 β€” 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 β€” 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 β€” clear acceptance criteria, clear "why".Operate in continuous flow (Kanban) β€” 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 β€” prototype, script, or contribute code with AI assistance when it moves the mission faster.Understand the engineering decisions behind the product β€” 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.