Own demand management solutions that balance fleet capacity with customer ordering, improving peak-time conversion and reducing cancellations.
Responsibilities:
- Own the roadmap and take features from idea to launch with Engineering.
- Write requirements, prioritize the backlog, and work through APIs and system behavior with engineers.
- Partner with Data Science on models and AI-driven configurations.
- Run experiments and track conversion, cancellation, and fleet saturation metrics.
- Align Operations, regional product teams, engineers, and other stakeholders on priorities and delivery.
Requirements:
- Product management experience, ideally in marketplaces, logistics, or e-commerce.
- Experience managing stakeholders and delivering complex initiatives across teams.
- Comfort using data to define success measures and assess impact.
- Experience working with data scientists and a working understanding of ML concepts and experimentation frameworks.
- Ability to manage competing priorities in changing operational conditions.
Nice to have: Experience in logistics or delivery, internal operations tools, rules engines, ranking or personalization systems, and launching AI-driven product features.
Location and work model: Berlin, hybrid, with two days a week on campus. Relocation to Berlin is supported.
Benefits: 27 days of holiday, educational budget, language courses, parental support, Udemy Business access, health and fitness benefits, employee share purchase plan, sabbatical bank, public transport discount, insurance, pension plan, and meal vouchers.