About the company
As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in around 65 countries worldwide powered by tech, designed by people. As one of Europe’s largest tech platforms, headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero.
Responsibilities
- Drive Product Vision & Roadmap: Translate the team's vision into a clear, actionable product roadmap. Define and prioritize features and initiatives based on business impact, customer value, and technical feasibility.
- Lead Data Model Development: Partner with data scientists and engineers to develop, refine, and deploy machine learning models for intelligent product curation, personalization, and substitution.
- Own Experimentation & Optimization: Embed systematic experimentation and rapid iteration into the product development workflow. Design, run, and analyze A/B tests to validate hypotheses and drive measurable improvements in algorithm performance and business KPIs.
- Deliver on Key Initiatives: Lead the execution of strategic projects, such as implementing experimentation with customer-facing Category Tree structure, driving the Category Recommendation engine, and developing models for automated merchandising and cross-listing.
- Cross-Functional Stakeholder Alignment: Partner with stakeholders across Merchandising, Catalog, Data Analytics, Platforms Product, and commercial teams to align on strategies and ensure our data products meet business needs. Articulate complex data concepts to non-technical audiences to build consensus.
Requirements
- Strong product management experience, ideally with data products or in a data-driven environment.
- Experience working with machine learning models and data science teams.
- Proven track record of running A/B tests and experimentation.
- Ability to translate business needs into technical requirements.
- Excellent stakeholder management and communication skills.
- Strategic thinking and analytical mindset.
- Experience in e-commerce, marketplace, or quick commerce is a plus.