Company
Delivery Hero
Location
Berlin, Germany
Employment type
Full-time
Seniority
Mid level
Primary category
General Administration
Posted date
30 Mar 2026
Valid through
29 May 2026
We are on the lookout for a Product Manager to join the Quick Commerce team on our journey to always deliver amazing experiences.
Be part of redefining how customers experience quick commerce. You’ll help build technology that scales our non-food offerings, reaching new market segments and driving revenue growth. By innovating within our Quick Commerce Team, you’ll make Delivery Hero the go-to platform for a broad range of products, helping us grow faster and deliver more value to customers around the world.
We are seeking a strong Product Manager to define the vision and lead the roadmap for our internal, customer-facing and vendor-facing tools and systems.
You'll work closely with cross-functional teams — including engineering, data science, analytics, and platform teams — to define, prioritize, and deliver highly technical product solutions that directly impact both user experience and business outcomes.
Key Responsibilities
User-Centric Approach: Develop a deep understanding of customer and user journeys, identifying opportunities to improve relevance, efficiency, and value delivery. Translate user insights into actionable strategies for enhancing workflows, processes, and decision-making across the platform.
Drive Business Impact & Opportunity: Identify and prioritize new opportunities that drive engagement, operational excellence, and business growth. Leverage data and a deep understanding of the organization to define and execute strategies that maximize impact and scalability.
Define the Systems Roadmap: Set the vision and strategic roadmap for highly technical, data-driven systems. Ensure alignment with overall business objectives, operational needs, and user experience goals while building for long-term scalability.
Partner with Engineering & Data Science on Intelligent Systems: Collaborate closely with engineering and data science teams to design and deploy machine learning models and automated solutions. Work together to implement scalable systems and leverage data pipelines that support adaptive, data-informed decision-making.
Experimentation & Testing: Lead experimentation initiatives, including A/B testing and other validation methods, to test hypotheses, optimize processes, and assess the effectiveness of new solutions. Define and monitor the technical setup for experiments, ensuring data integrity and reliable outcomes.
Cross-Functional Stakeholder Alignment: Work with stakeholders across multiple teams — such as Platforms, Data, UX, and commercial functions — to ensure alignment on strategy and execution. Communicate complex technical concepts clearly to non-technical audiences, influencing decisions and driving consensus.
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