Senior Retail Media PM: Own Auctions, Data & Growth

Redcare Pharmacy; Sevenum; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Welcome days

Work from Home up to 20 days/year (EU)

Deutschland Ticket mobility support

Personal development support

30 days paid vacation

Job summary

Redcare Pharmacy is seeking a seasoned Product Manager to own and evolve our Sponsored Products ecosystem, driving auction mechanics, bidding logic, and relevance models to boost performance and ad quality.

You will lead the development of retail media data products and help shape a self-service platform for sellers and programmatic buyers, backed by robust experimentation and collaboration with Data & AI teams.

Qualifications

• 7+ years of product management experience in Retail Media, AdTech, or ecommerce monetisation.
• Deep understanding of auction dynamics, advertiser ROI, and data-driven product design.
• Ability to own data products end-to-end and collaborate with engineers and data scientists.

Responsibilities

• Own and evolve Sponsored Products ecosystem, including auction mechanics, bidding logic, and relevance models.
• Drive development of retail media data products, such as first-party audience segments and attribution models.
• Shape the advertiser self-service platform for campaign creation, optimisation, and reporting.
• Build and scale experimentation frameworks, including A/B testing and incrementality testing.
• Partner with Retail Media, Marketing, and Category teams to align product development with business needs.

Skills

Product management

Retail Media

AdTech

E-commerce monetisation

Experimentation

Tools

SQL

Python

Airflow

Job description

Redcare Pharmacy is seeking a seasoned Product Manager to own and evolve our Sponsored Products ecosystem, driving auction mechanics, bidding logic, and relevance models to boost performance and ad quality.

You will lead the development of retail media data products and help shape a self-service platform for sellers and programmatic buyers, backed by robust experimentation and collaboration with Data & AI teams.