Data Product Manager (Quick Commerce)

TL;DR

Data Product Manager (Quick Commerce): Building and optimizing data products for an adaptive digital shelf with an accent on personalized product assortment and demand intelligence. Focus on deploying machine learning models, designing A/B tests, and improving conversion rates through intelligent curation.

Location: Hybrid (Berlin, Germany) — Must be based in Berlin or able to work from the Berlin campus 2 days a week

Company

hirify.global is a pioneering local delivery platform operating in around 65 countries worldwide, specializing in tech-driven quick commerce.

What you will do

• Translate the team's vision into a clear, actionable product roadmap for the intelligent digital shelf.
• Partner with data scientists and engineers to develop and deploy ML models for product curation, personalization, and substitution.
• Design and analyze A/B tests to validate hypotheses and drive measurable improvements in algorithm performance and business KPIs.
• Lead the execution of strategic projects, such as the Category Recommendation engine and automated merchandising models.
• Align with cross-functional stakeholders across Merchandising, Catalog, Data Analytics, and commercial teams.
• Establish and monitor success metrics related to model performance, customer satisfaction, and business impact.

Requirements

• 3–5 years of experience in product management focusing on highly technical data products.
• Proven track record in e-commerce, marketplaces, or Q-Commerce.
• Strong technical acumen in machine learning concepts, data modeling, and experimentation frameworks.
• Proficiency in SQL and data notebooks to independently derive insights and identify opportunities.
• Ability to lead cross-functional teams and communicate complex data concepts to non-technical audiences.

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.
• Experience with merchandising or retail analytics.

Culture & Benefits

• Hybrid working model with face-to-face collaboration in the Berlin campus 2 days a week.
• 27 days of holiday, with additional days granted based on years of service.
• €1,000 Educational Budget, language courses, and access to Udemy Business.
• Health checkups, meditation, and gym/bicycle subsidies.
• Employee Share Purchase Plan, Corporate Pension Plan, and Life & Accident Insurance.
• Digital and food vouchers along with corporate discounts.