Italian couture house selling ready-to-wear, accessories and eyewear globally
Valentino is a Milan-headquartered Italian couture house whose hiring is dominated by sales roles across boutiques in Europe, the US, the Middle East and Asia. Its back office runs on SAP, with SAP Retail and BW/4HANA already in place and SAP S/4HANA being adopted. Job posts point to finance reporting automation and omnichannel retail work such as ship-from-store and a new e-store launch.
Valentino is a privately held Italian fashion house founded in Rome in 1960 and now headquartered in Milano. Its collections span Haute Couture, women's and men's ready-to-wear, Valentino Garavani accessories, eyewear and beauty, the last through a licensing partnership. The company employs between 1,001 and 5,000 people. It is hiring in France, the United States, Italy, the UAE, the United Kingdom, China, Singapore, Japan, Germany and South Korea. Most open roles are client-facing retail and sales positions, supported by operations, marketing and finance.
Valentino runs SAP, including SAP Retail, ABAP and SAP BW/4HANA, alongside SuccessFactors, ServiceNow, Power BI, Qlik Sense, Azure and AWS. Its design work uses Adobe Creative Cloud, Rhino, ZBrush and SolidWorks.
Yes. SAP S/4HANA is listed as a technology Valentino is adopting, and an S/4HANA migration appears among the challenges cited in its job posts. The new system will sit alongside its existing SAP Retail and BW/4HANA landscape.
Valentino is hiring in France, the United States, Italy, the United Arab Emirates, the United Kingdom, China, Singapore, Japan, Germany and South Korea. Most of these roles are in retail sales.
Other companies in the same industry, closest in size
Valentino's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.