Delivery Hero

1 month ago

Data Product Manager, Dynamic Assortment - (Quick Commerce)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Product Manager leading data-driven dynamic assortment initiatives within Delivery Hero's Quick Commerce. Own the lifecycle of data products, collaborate with data science and engineering, and drive experimentation to optimize personalized catalogs, category trees, and merchandising—impactting conversion, AOV, and customer retention across global platforms.

Location: Berlin

Workplace: Hybrid

Employment Type: Full time

Job Function: Product Management

Key Responsibilities

•Drive Product Vision & Roadmap: Translate the team's vision into a clear, actionable product roadmap; prioritize features based on business impact, customer value, and technical feasibility.
•Lead Data Model Development: Partner with data scientists and engineers to develop, refine, and deploy ML models for intelligent product curation, personalization, and substitution.
•Own Experimentation & Optimization: Design, run, and analyze A/B tests to validate hypotheses and improve algorithm performance and business KPIs.
•Deliver on Key Initiatives: Lead strategic projects such as Category Tree experimentation, Category Recommendation engine, and automated merchandising models.
•Cross-Functional Stakeholder Alignment: Collaborate with Merchandising, Catalog, Data Analytics, Platforms Product, and commercial teams to align on strategies and communicate complex data concepts to non-technical audiences.

Key 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 build products that leverage large datasets, machine learning models, and rigorous experimentation, including A/B testing.
•Strong understanding of machine learning concepts, data modeling, and experimentation frameworks; ability to discuss trade-offs in model implementations.
•Skilled in SQL and data notebooks; able to derive insights, define success metrics, and iterate rapidly in fast-paced settings.
•Track record of leading cross-functional teams and communicating complex ideas across technical and non-technical audiences.

Experience:E-commerceMarketplacesQ-CommerceData products

Education:Bachelor's

Skills:CommunicationLeadershipProblem-solvingInfluenceAnalytical thinking

Languages:English

Tech Stack:SQLMachine learningData modelingA/B testingData pipelines

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: 3.4

Website LinkedIn Glassdoor

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Delivery Hero

1 month ago

Data Product Manager, Dynamic Assortment - (Quick Commerce)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Berlin

Workplace: Hybrid

Employment Type: Full time

Job Function: Product Management

Key Responsibilities

•Drive Product Vision & Roadmap: Translate the team's vision into a clear, actionable product roadmap; prioritize features based on business impact, customer value, and technical feasibility.
•Lead Data Model Development: Partner with data scientists and engineers to develop, refine, and deploy ML models for intelligent product curation, personalization, and substitution.
•Own Experimentation & Optimization: Design, run, and analyze A/B tests to validate hypotheses and improve algorithm performance and business KPIs.
•Deliver on Key Initiatives: Lead strategic projects such as Category Tree experimentation, Category Recommendation engine, and automated merchandising models.
•Cross-Functional Stakeholder Alignment: Collaborate with Merchandising, Catalog, Data Analytics, Platforms Product, and commercial teams to align on strategies and communicate complex data concepts to non-technical audiences.

Key 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 build products that leverage large datasets, machine learning models, and rigorous experimentation, including A/B testing.
•Strong understanding of machine learning concepts, data modeling, and experimentation frameworks; ability to discuss trade-offs in model implementations.
•Skilled in SQL and data notebooks; able to derive insights, define success metrics, and iterate rapidly in fast-paced settings.
•Track record of leading cross-functional teams and communicating complex ideas across technical and non-technical audiences.

Experience:E-commerceMarketplacesQ-CommerceData products

Education:Bachelor's

Skills:CommunicationLeadershipProblem-solvingInfluenceAnalytical thinking

Languages:English

Tech Stack:SQLMachine learningData modelingA/B testingData pipelines

Company Brief

Delivery Hero

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: 3.4

Website LinkedIn Glassdoor