Luxury leather goods house scaling retail operations and digital channels
Bottega Veneta is a 1,001–5,000-person luxury goods manufacturer and retailer hiring across 14 countries with acceleration in sales (57 active roles) and operations. The tech stack reflects a traditional retail operations footprint—SAP, Salesforce Commerce Cloud, PLM, Power BI, QlikView—paired with design tools (Rhino, SketchUp, AutoCAD). Current pain points cluster around visual consistency across stores, raw material quality tracking, and inventory efficiency, while active projects span new store rollouts, business intelligence tooling, and seasonal buying cycles—typical of a brand managing global supply chain and wholesale expansion.
Bottega Veneta designs and manufactures luxury leather goods and accessories, operating from Milan as a privately held company founded in 1966. The product line spans women's and men's leather goods, driven by seasonal buying cycles and visual merchandising strategies deployed across retail locations. The organization operates a global footprint with hiring across the United States, Italy, Saudi Arabia, France, Mexico, United Kingdom, Spain, Switzerland, Germany, Sweden, Ireland, Greece, Canada, and Portugal. Sales and operations staff comprise the majority of active hiring, reflecting a business model centered on store management, wholesale distribution, and e-commerce channels supported by Salesforce Commerce Cloud.
Bottega Veneta uses SAP for ERP, Salesforce Commerce Cloud for e-commerce, Power BI and QlikView for analytics, PLM for product lifecycle management, and design tools including Rhino, SketchUp, and AutoCAD. Adobe Creative Suite (Photoshop, Illustrator, Acrobat) supports design and marketing workflows.
Key pain points include maintaining visual consistency across global stores, raw material quality control and monitoring, seasonal display coordination, inventory management inefficiencies, shipping returns processing, and website navigation optimization. Business intelligence tooling is an active project to improve internal dashboarding accuracy.
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