Search & Recommender Engine Lead | Search & Recommender Engine Lead (all genders)
Kaufland e-commerce Services GmbH & Co. KG
Job Summary
This role involves defining and refining the product vision and strategy for both the search and recommender engines, ensuring alignment with company goals and user needs. The lead will mentor two cross-functional teams of engineers, data scientists, and analysts to deliver innovative search and recommendation solutions. Key responsibilities include conducting user research, A/B testing, and analyzing KPIs to guide product decisions. The ideal candidate will have extensive experience building and optimizing search and recommender engine products, a strong engineering or data science background, and a proven track record in leading teams through the full product lifecycle. This position offers the flexibility to work remotely within Germany or from various office locations, fostering a dynamic, international, and English-speaking work environment.
Required Skills
Education
Not specified
Experience
- Multiple years of hands-on experience building, optimizing, and scaling search and recommender engine products in an online marketplace or similar environment
- Strong engineering and/or data science background, with a deep understanding of search and recommender systems, including their underlying algorithms and infrastructure
- Proven track record in leading cross-functional teams through the full product lifecycle, from discovery to delivery
- Professional experience with data-driven and outcome-focused strategies, including defining, tracking, and analyzing key performance metrics
Languages
Additional
- Work location flexibility (remote within Germany, or offices in Cologne, Darmstadt, Düsseldorf, Berlin co-working space).
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