Global prestige beauty retailer with stores, own label and loyalty
Sephora runs a prestige beauty retail network across 35 markets, pairing a Google Cloud ML stack (PyTorch, Kubeflow Pipelines, Vertex AI, BigQuery) with legacy retail systems like SAP, JDA, Oracle and POS. Hiring is accelerating and overwhelmingly store-side, with sales and ops roles at lead level dominating, while job-post pain points cluster around shrink, theft and staffing efficiency inside stores.
Notable leadership hires: Services Lead, Store Director, Operations Lead, Store Lead, Stage Experience Lead
Sephora is a prestige beauty retailer headquartered in Neuilly-sur-Seine, France, founded in 1969 and privately held. It sells fragrance, makeup, skincare and haircare from more than 500 brands alongside its own label, Sephora Collection. The company operates around 3,200 stores and 20 offices across 35 markets, with roughly 50,000 employees. It serves a consumer base it counts at 74 million loyal customers, supported by a loyalty program and in-store experiences such as beauty classes and events.
Sephora uses PyTorch, Kubeflow Pipelines, Vertex AI, BigQuery, Cloud Run and FastAPI for data and ML, plus SAP, JDA, Oracle, POS, dbt, Power BI, Tableau, ThoughtSpot and Medallia.
Sephora is hiring across 18 countries including France, the United States, United Kingdom, Spain, Germany, Canada, Brazil, UAE, Saudi Arabia, Singapore, Malaysia and Australia, mostly in store sales and operations.
Sephora is headquartered in Neuilly-sur-Seine, Île-de-France, France. It was founded in 1969 and has 10,001+ employees across 35 markets.
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SEPHORA'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.