Global luxury watch marketplace with 560k listings and 9M monthly visitors
Chrono24 operates a two-sided marketplace connecting 3,000 professional dealers and 60,000 private sellers to 9M monthly buyers across 120+ countries. The tech stack is Java/Spring backend with Python ML (scikit-learn, PyTorch, TensorFlow) for recommender systems and search classification—a signal the company is moving beyond basic listing matching toward personalization. Active hiring across sales, engineering, and marketing, combined with projects around dealer acquisition, CRM lifecycle optimization, and AI-enabled sales ops, reveals a company scaling operator-side tooling to unlock GMV growth from a maturing dealer base.
Chrono24 is a global online marketplace for luxury watches founded in 2003 and headquartered in Karlsruhe, Germany. The platform hosts approximately 560,000 watches across inventory categories—new, pre-owned, and vintage—sourced by professional dealers and private collectors. The company operates regional hubs in Germany, the United States, Japan, and Hong Kong to support cross-border logistics and seller partnerships. Revenue flows from transaction fees and premium services for dealers seeking visibility and account management tools. With around 350 employees, Chrono24 balances platform operations (logistics, fraud, payments) with sales and marketing functions focused on dealer retention and corporate account growth.
Java and Spring Framework for backend, with Python ML libraries (scikit-learn, PyTorch, TensorFlow) for recommender systems and search. Infrastructure includes GitLab CI/CD, Jenkins, Elastic Stack, and Grafana for monitoring. Salesforce and HubSpot power CRM and sales operations.
Across Germany, Mexico, United States, United Kingdom, China, and Japan. Reflects regional support for dealer acquisition, logistics, and marketplace operations in major watch markets.
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