Product Owner - Search Retrieval (f/m/d)

Deine Aufgaben

• Own the product vision and roadmap for search retrieval, from discovery and prioritization through to delivery and measurement
• Define what good retrieval means: establish recall and quality metrics, offline evaluation and query-level tracking together with Data Science
• Shape the evolution of our retrieval architecture with engineers, e.g. new retrieval channels and the trade-offs between recall, latency, cost and product data quality
• Treat retrieval as a platform product: align closely with Query Understanding, Ranking and other consuming teams on clear interfaces and requirements
• Maintain a well-structured backlog in close collaboration with the engineering lead, engineers and data scientists
• Track and interpret product KPIs and A/B test results to drive data-informed decisions and evaluate initiative outcomes
• Collaborate with engineers and data scientists as peers, providing strategic direction while trusting the team's technical judgment and avoiding micromanagement
• Keep stakeholders informed with clear, transparent communication, shielding the team from noise while maintaining appropriate visibility
• Actively contribute to team culture, methodology improvements, and knowledge-sharing within the broader Product community

Deine Fähigkeiten

• Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Physics, Engineering or another STEM field
• A professional background in analytics, data science, ML engineering or data-heavy software engineering, with first experience (around 1 to 3 years) as Product Owner, Product Manager or in a similar product role
• Experience working in agile product teams and managing product backlogs
• A solid understanding of data and ML systems, and the curiosity to quickly get into new, complex problems like how search works end to end
• Hands-on analytical skills (SQL, ideally Python) and experience with A/B testing and offline evaluation of search or ML systems
• The ability to switch between strategic discussions with stakeholders and technical deep dives with engineers and data scientists
• Experience with search technologies such as keyword and vector retrieval, hybrid search, embeddings or LLM-based retrieval is a strong plus
• Experience with Elasticsearch, OpenSearch, Vespa or vector databases is an advantage
• Strong ownership, collaboration and communication skills
• Fluent in English; German is a plus
• The capacity to adapt to ongoing changes in the work environment
• A willingness to challenge «how things have always been done» and propose more efficient, automated or effective solutions

Warum startest du bei uns?