Senior/Principal Data Product Manager - Item Discovery
Senior/Principal Data Product Manager - Item Discovery
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Job Description
We are on the lookout for a Senior/Principal Data Product Manager to join the Item Discovery Domain on our journey to always deliver amazing experiences.
Be part of redefining how customers experience quick commerce. Youll help build technology that scales our non-food offerings reaching new market segments and driving revenue growth. By innovating within our Quick Commerce Team youll 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.
The Item Discovery domain within QC Merchandising space in the Commercial Tribe is at the forefront of enabling customers to seamlessly find relevant products in our Q-Commerce Platforms. Our mission is to build intelligent adaptive scalable and fair ranking systems that maximize item discoverability customer satisfaction merchandising opportunities and business impact. The team leverages data personalization and dynamic ranking strategies to ensure that users efficiently find the right products while driving sustainable growth for all partners regardless of their size.
We are seeking a strategic and data-driven Senior/Principal Data Product Manager to lead the development of data-centric systems in our QC Item Discovery domain positioned within QC Merchandising value stream in the Commercial Tribe. You will work closely with cross-functional teams engineering data science analytics UX platform and commercial teams to shape how customers navigate and engage with products in a high-impact data-rich environment.
Drive the Strategy & Roadmap: Define the vision and strategic roadmap for data-driven systems across various real estates within the Item Discovery domain ensuring alignment with overall business objectives merchandising opportunities and customer experience goals.
Lead Data Product Development: Spearhead the development of dynamic ranking systems ML services and scoring mechanisms that surface relevant products in real-time based on user context product attributes and business objectives.
Own Metrics & Performance: Establish and monitor success metrics related to ranking accuracy engagement and conversion ensuring data-driven decision-making and continuous optimization.
Partner with Engineering & Data Science: Collaborate closely with engineering and data science to implement ranking algorithms evaluate ML models and leverage data pipelines that support adaptive data strategies.
Experimentation & Testing: Drive A/B testing and experimentation to validate hypotheses optimize model performance and assess the impact of new discovery strategies.
Stakeholder Alignment: Partner with stakeholders across Platforms Data UX and more to align Merchandising Strategies.
Qualifications :
- Product & Domain Expertise: 5 years in product management with a focus on data products ranking systems search or relevance algorithmsideally within Q-Commerce e-commerce or marketplace environments.
Data-Driven Impact: Proven ability to build ML-based products that leverage large datasets and rigorous experimentation (A/B testing) to optimize discoverability engagement and business KPIs.
Technical Fluency: Strong understanding of data pipelines scoring logic and ML models; comfortable working closely with engineers data scientists and backend teams.
Analytical Excellence: Skilled in SQL and data notebooks with the ability to derive insights define success metrics and iterate rapidly in fast-paced ambiguous settings.
User-Centered Thinking: Ability to translate customer behavior and insights into actionable product strategies that improve discovery and relevance.
Influence & Communication: Track record of leading cross-functional teams aligning stakeholders and clearly communicating complex ideas across technical and non-technical audiences
Nice to have
Experience in Q-Commerce e-commerce retail or logistics.
Experience with ranking personalization or search algorithms.
Familiarity with real-time data processing dynamic rankers and predictive modeling.
Bachelors degree in Data Science Computer Science or a related field or equivalent practical experience.
Additional Information :
Ensuring you and all our Heroes are looked after happy and healthy is always on the menu. Because if youre in good shape then were in good shape.
Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week
We offer 27 days holiday
We will support you in developing yourself and your career growth opportunities: 1.000 Educational Budget Language Courses Parental Support and access to the Udemy Business platform to explore a variety of online courses.
Get moving and release those wonderful mind-boosting endorphins: Health Checkups Meditation Yoga Gym & Bicycle Subsidy
The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers Food Vouchers Corporate Discounts. Courses.
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 experiencejust include it in your application. Youre welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
