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Senior Product Manager - Search & Sort (all genders)

Best Secret GmbH -
Berlin

Jetzt bewerben

Details zur Stelle

Festanstellung | Vollzeit

Qualifikationen

Master
Machine Learning
Produktmanagement
Computerlinguistik

Vollständige Stellenbeschreibung

Job Description

Team: Product Management

Job Location: Berlin, Germany, Málaga, Spain, Munich, Germany

Position Type: Permanent, Full-time

Work Flexibility: Hybrid, Onsite

At BESTSECRET, Search & Sort is evolving from a transactional tool into an intelligent, intent-driven discovery experience. As a Senior Product Manager, you will play a pivotal role in transforming how millions of customers across Europe explore and discover products—leveraging semantic search, dynamic ranking, and personalization at scale.
This is a high-impact opportunity to own strategy and execution end-to-end, working at the intersection of search, machine learning, and customer experience. You’ll collaborate with top-tier engineers and data scientists to build systems that directly drive business growth, contributing to a domain responsible for a significant share of company revenue.

Your Responsibilities

Define and execute the product vision and roadmap for Search & Sort, covering query understanding, semantic retrieval, ranking, and result presentation

Lead the evolution from rule-based sorting to dynamic, context-aware ranking driven by user intent and market signals

Drive technical product decisions across NLP, information retrieval, embeddings, and LLM-based approaches

Collaborate cross-functionally with engineering, data science, and analytics teams to deliver scalable, high-impact solutions

Own and optimize key discovery and business KPIs (relevance, conversion, personalization, revenue impact)

Mentor and support other product managers, contributing to product excellence and best practices across the organization

Your Qualifications

5+ years of experience in product management, delivering customer-facing digital products with measurable impact

2+ years working on search, ranking, or recommendation systems (e.g., semantic search, embeddings, re-ranking)

Strong understanding of search architecture, NLP, and information retrieval systems; experience with LLMs is a plus

Solid technical background in computer science, machine learning, data science, or software engineering

Proven ability to lead complex initiatives in cross-functional, matrix environments

Strong communication skills with the ability to translate between technical, business, and customer perspectives

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Erweiterte Suche

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