Data Product Manager, Dynamic Assortment - (Quick Commerce)

Das ist der Job

Data Product Manager, Dynamic Assortment - (Quick Commerce) Full-time.

Darum lohnt es sich

We need a Product Manager to join the Dynamic Assortment tribe within the Quick Commerce team. 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 worldwide.

The Dynamic Assortment team operates as a specialized data team within the QC Assortment domain. Drive Product Vision & Roadmap: Translate the team's vision into a clear, actionable roadmap and prioritize features based on business impact, customer value, and technical feasibility.

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.

Track record of leading cross‑functional teams, aligning diverse stakeholders, and communicating complex ideas across technical and non‑technical audiences. Benefits & Working Model We offer a hybrid working model with face‑to‑face interaction 2 days a week on our Berlin campus.

Health benefits include health checkups, meditation, gym, and bicycle subsidies. Food benefits comprise digital meal vouchers, food vouchers, and corporate discounts. As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience that is fast, easy, and to your door.

We operate in around 65 countries powered by technology designed by people. Headquartered in Berlin, Germany, Delivery Hero is headquartered in Europe’s largest tech hubs and is listed on the Frankfurt Stock Exchange as part of the MDAX 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. You’ll help build technology that scales our non‑food offerings, reaches new market segments, and drives revenue growth.

Our mission is to maximize customer lifetime value and drive profitable growth by transforming our static product catalog into an adaptive and dynamic one. We develop and refine sophisticated data models that intelligently curate and personalize the product assortment, enhancing the customer experience and optimizing business outcomes.

Our work is a critical enabler of the Quick Commerce strategy to make every product "easy to list, effortless to discover, and inspiring to convert." We are seeking a strong Product Manager to own and deliver the data products that power our intelligent digital shelf.

You will work closely with data science, engineering, and cross‑domain stakeholders to translate our vision into a tangible product roadmap.

You will be at the forefront of transforming our static catalog into an adaptive, personalized experience by leveraging unified demand intelligence, deploying advanced machine learning models, and embedding a culture of continuous experimentation and optimization.

This role requires a blend of strategic thinking, technical depth, and a passion for data.

You will be responsible for the entire lifecycle of our data products, from ideation and model development to experimentation and performance monitoring, directly influencing key growth metrics such as conversion rates, average order value, and customer retention.

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.

Articulate complex data concepts to non‑technical audiences to build consensus and drive decision‑making across our global platforms. Own Metrics & Performance: Establish and monitor success metrics and KPIs related to model performance, customer satisfaction, and business impact. Use data‑driven insights to guide product decisions and iteration.

Qualifications 3–5 years in product management with a strong focus on highly technical data products, preferably in e‑commerce, marketplaces, or Q‑Commerce. Experience with personalization or recommendation engines. Proven ability to lead technical product initiatives from conception to launch.

Proven ability to build products that leverage large datasets, machine learning models, and rigorous experimentation (A/B testing). Strong understanding of machine learning concepts, data modeling, and experimentation frameworks.

Skilled in SQL and data notebooks, capable of deriving insights, defining success metrics, and iterating rapidly in ambiguous settings. Customer‑centric thinking, translating needs and opportunities into data‑driven product features that enhance discovery, personalization, and mission fulfillment.

Nice to Have Experience with large‑scale personalization or recommendation systems. Familiarity with the lifecycle of machine learning models. Bachelor’s degree in Data Science, Computer Science, or a related technical field, or equivalent practical experience. Experience with merchandising or retail analytics.

Proven ability to break down complex initiatives into actionable plans and drive execution to completion. Track record of building consensus among diverse stakeholders and driving aligned decision‑making. We provide 27 days holiday, plus an extra day on the 2nd and 3rd year of service.

We support your development and career growth through a €10 000 educational budget, language courses, parental support, and access to the Udemy Business platform. Compensation includes an employee share purchase plan, sabbatical bank, public transportation ticket discount, life & accident insurance, and a corporate pension plan. Ready to Join?

If you’re excited to grow, collaborate, and become part of the world’s leading delivery platform, please apply today. Equal Opportunity Statement We believe diversity and inclusion are key to creating an amazing product and workplace.

We do not discriminate on the basis of race, religion, color, national origin, gender identity or expression, sexual orientation, age, marital or disability status, or any other aspect that makes a person unique.

We encourage you to let us know if you need accommodations or specific accessibility support so we can ensure a smooth interview experience. Severely disabled applicants with equal qualifications will be given preferential consideration.

Feel free to share your pronouns (he/she/they) from the start so we can address you respectfully. #J-18808-Ljbffr