Sr. Product Manager - Safety Intelligence

About the role

As Sr. Product Manager for Safety Intelligence & Orchestration, you will own the product domain that transforms structured signals into prioritised, explainable guidance that drives user action. You will take this domain from early capability to a scalable, trusted intelligence system embedded in daily operations.

What you'll do

• Own roadmap and measurable outcomes for the domain
• Turn structured data and AI signals into prioritised guidance, recommendations, and automated actions for users
• Design closed-loop systems: signal - insight - action - feedback - improvement
• Define and evolve prioritisation, recommendation, automation, and decision-support capabilities
• Ensure intelligence is understandable, trusted, and operationally useful on the ground
• Partner closely with Engineering to bring prediction, ranking, and feedback systems into production
• Work directly with customers to validate real-world decision impact
• Drive adoption and engagement by ensuring intelligence leads to clear, high-value user actions

What you'll need

• Has built or owned data-driven, AI-enabled, or decision-support products
• Thinks in terms of learning loops, prioritisation, and measurable decision impact
• Is comfortable operating in high ambiguity and structuring complex problem spaces
• Understands how AI/ML systems, data pipelines, and product workflows come together in production
• Can translate complex signals into clear, actionable user guidance
• Makes structured decisions under uncertainty and evolving data
• Is hands-on, pragmatic, and outcome-focused
• Is comfortable working directly with data using tools like Python or SQL

Nice to have

• AI/ML, decision-support, or predictive systems in production
• Ranking, prioritisation, recommendation, or optimisation products
• Closed-loop systems that improve through usage and feedback
• Operational or safety-critical environments

What they offer

• End-to-end ownership of a critical product area
• The opportunity to shape how AI guides real-world action and learning
• Close collaboration with the leadership team
• Berlin-based hybrid setup