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Product manager, category management - (quick commerce)

Berlin
Delivery Hero
Produktmanager
Inserat online seit: 30 März
Beschreibung

Job Description

We are on the lookout for a Product Managerto 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

1. 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.

2. 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.

3. 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.

4. 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.

5. 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.

6. 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.

Qualifications

7. Product & Domain Expertise: 4+ years of experience in product management, ideally in q/e-commerce, retail, or marketplace environments. You should demonstrate a proven ability to lead product initiatives from conception to launch, balancing customer needs with commercial goals.

8. Technical Acumen: Ability to engage deeply with engineering to define requirements for scalable platforms. You should be comfortable discussing system architecture, API design, and data flow to ensure solutions can handle large-scale, high-frequency events and are future-proof.

9. Growth & Analytical Mindset: Proficiency in SQL and comfort working with data to define success measurements, troubleshoot issues, and assess the commercial and customer impact. You can independently analyze data to identify business opportunities, optimize strategies, and drive outcomes.

10. User-Centered Approach: Experience building internal tools and/or B2B2C solutions that balance operational efficiency with a strong customer impact. You should have a deep understanding of customer behavior and be able to translate those insights into actionable product strategies.

11. Cross-Functional Influence: A track record of collaborating with diverse stakeholders (commercial, engineering, data science, design) to align on complex initiatives. You can clearly articulate the business value of technical projects and manage expectations across the organization.

Nice to Have

12. Familiarity with large-scale, high-frequency transaction systems (, marketplace, quick-commerce, or high-volume retail).

13. Bachelor’s degree in Data Science, Computer Science, or a related technical field, or equivalent practical experience.

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