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About the Role

Join the Dynamic Assortment tribe within the Quick Commerce team to redefine customer experience in quick commerce. You will build technology to scale non-food offerings, reach new market segments, and drive revenue growth. This role is critical in making Delivery Hero the go-to platform for a broad range of products, optimizing business outcomes, and enhancing customer experience through data-driven personalization.

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 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.

Requirements

3–5 years in product management with a strong focus on highly technical data products in e-commerce, marketplaces, or Q-Commerce.
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).
Comfortable driving technical conversations with data science and engineering teams about system architecture, model performance, and data pipelines.
Strong understanding of machine learning concepts, data modeling, and experimentation frameworks.
Ability to discuss trade-offs in model implementations and guide the team toward scalable, effective solutions.
Skilled in SQL and data notebooks, with the ability to derive insights, define success metrics, and iterate rapidly in fast-paced, ambiguous settings.
Ability to independently analyze data to identify issues and opportunities.
Track record of leading cross-functional teams, aligning diverse stakeholders, and clearly communicating complex ideas across technical and non-technical audiences.
Ability to translate customer needs and business opportunities into data-driven product features that enhance discovery, personalization, and mission fulfillment.

Skills

Personalization or recommendation engines
Machine learning concepts
Data modeling
Experimentation frameworks
SQL
Data notebooks

Location

Berlin, Germany

Work Type

Hybrid

Experience Level

3-5 years

Education Level

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

Benefits

27 days holiday with an extra day on 2nd and 3rd year of service
1.000 € Educational Budget
Language Courses
Parental Support
Access to the Udemy Business platform
Health Checkups
Meditation & Gym
Employee Share Purchase Plan
Sabbatical Bank
Public Transportation Ticket Discount
Life & Accident Insurance
Corporate Pension Plan
Digital Meal Vouchers
Food Vouchers
Corporate Discounts

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.

Equal Opportunity

We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience.
Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you.
We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience—just let us know with an email to our Inclusion Officer at [email protected].
Severely disabled applicants with equal qualifications will be given preferential consideration.
You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.