Data Product Manager, Dynamic Assortment - (Quick Commerce)

Delivery Hero
Berlin
Workplace: HybridFull timeFunction: Product ManagementSkills: ["Leadership","Communication","Analytical thinking","Customer-centric thinking","Stakeholder management"]

Own the data products behind an adaptive, personalized assortment for quick commerce. Translate the Dynamic Assortment team’s vision into a roadmap, develop and deploy machine-learning models for product curation and substitution, and embed experimentation with A/B testing to improve algorithm performance. Partner with data science, engineering, and cross-domain stakeholders across merchandising, catalog, analytics, and commercial teams to deliver category recommendation and measurable growth in conversion, AOV, and retention.

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Delivery Hero
Delivery Hero
2 days ago

Data Product Manager, Dynamic Assortment - (Quick Commerce)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live
Reposted: similar role first listed 2 months ago

Job Summary

Own the data products behind an adaptive, personalized assortment for quick commerce. Translate the Dynamic Assortment team’s vision into a roadmap, develop and deploy machine-learning models for product curation and substitution, and embed experimentation with A/B testing to improve algorithm performance. Partner with data science, engineering, and cross-domain stakeholders across merchandising, catalog, analytics, and commercial teams to deliver category recommendation and measurable growth in conversion, AOV, and retention.
Location: Berlin
Workplace: Hybrid
Employment Type: Full time
Job Function: Product Management
Seniority: Mid level

Key Responsibilities

  • •Translate the team’s vision into a prioritized product roadmap and define features based on business impact and technical feasibility.
  • •Develop, refine, and deploy machine learning models for intelligent product curation, personalization, and substitution with data science and engineering.
  • •Drive experimentation by designing, running, and analyzing A/B tests to validate hypotheses and improve KPI and algorithm performance.
  • •Lead strategic initiatives including experimentation with a customer-facing Category Tree structure, the category recommendation engine, and automated merchandising/cross-listing models.
  • •Own metrics and performance by establishing KPIs for model performance, customer satisfaction, and business impact, using data-driven insights to iterate.

Pay and Benefits

Perks:Educational BudgetLanguage CoursesHealth InsuranceGym MembershipShare PlanLife InsurancePension Plan

Key Requirements

  • •3–5 years of product management experience with technical, data-centric products in e-commerce, marketplaces, or Q-Commerce.
  • •Experience leading highly technical initiatives from conception to launch, with strong ownership across the product lifecycle.
  • •Strong technical fluency in machine learning concepts, data modeling, and experimentation frameworks (A/B testing).
  • •Skilled in SQL and data notebooks to derive insights, define success metrics, and iterate in ambiguous settings.
  • •Demonstrated ability to lead cross-functional stakeholders and communicate complex data concepts to both technical and non-technical audiences.
Experience:E-commerceMarketplacesQ-Commerce
Skills:LeadershipCommunicationAnalytical thinkingCustomer-centric thinkingStakeholder management
Languages:English
Tech Stack:SQLMachine learningData modelingA/B testingData notebooks

Company Brief

Delivery Hero
Global online food-ordering and local delivery platform operating multiple regional brands (e.g., Foodpanda, Glovo, Talabat) across 50–70+ countries, supplying food and quick-commerce deliveries via marketplace and logistics services.
Industry: Online Marketplaces
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Berlin, Germany
Founded: 2011
Glassdoor
Glassdoor: 3.4
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