Luxury outerwear manufacturer and retailer scaling global store operations and supply chain
Moncler operates a vertically integrated luxury outerwear business across 5,000+ employees, with 246 open roles (111 posted in the last 30 days) concentrated heavily in retail and operations. The tech stack reveals a retail-operations core (SAP, RFID, Oracle) paired with emerging data infrastructure (GCP, BigQuery, Airflow, Python, scikit-learn) and AI experimentation (Azure AI Agent Service, Vertex AI, LangChain) — suggesting active investment in supply-chain automation and customer analytics. Pain points cluster around inventory accuracy, stock replenishment, and store operating costs, which tracks with the project list of new store openings, inventory management, and treasury-flow automation.
Notable leadership hires: Team Lead
Moncler manufactures and distributes men's, women's, and accessory collections globally through company-operated boutiques and exclusive department-store partnerships. Headquartered in Milan and originally founded in Grenoble, the brand combines technical mountain-wear expertise with urban fashion positioning. The company is expanding: hiring is accelerating across 24 countries, with the largest hiring concentration in sales (136 roles) and operations (28 roles), reflecting growth in retail footprint and backend infrastructure. Current focus areas include new store openings, visual standards implementation, clienteling programs, and operational efficiency improvements around inventory and treasury management.
Moncler uses SAP and Oracle for core operations, SQL and Python for data work, GCP (BigQuery, Dataflow, Cloud Composer) for cloud infrastructure, Power BI and MicroStrategy for analytics, and is actively experimenting with Azure AI Agent Service and Vertex AI.
Sales leads hiring with 136 open roles, followed by operations (28), finance (13), marketing (10), support (9), HR (8), manufacturing (6), and design (5).
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