Multi-brand beauty and skincare company scaling supply chain and marketing tech
E.L.F. Beauty operates a portfolio of four brands (e.l.f. Cosmetics, e.l.f. SKIN, Well People, Naturium, and rhode) across cosmetics and skincare, with headquarters in Oakland. The tech stack reveals a business optimizing supply chain and data infrastructure—SAP S/4HANA and NetSuite for ERP, Snowflake + dbt + Fivetran + Airflow for analytics, and Atlan for data governance—while actively adopting application security scanning (SAST/DAST/IAST), suggesting internal security maturity is accelerating. Hiring velocity is increasing, with marketing (14 open roles) and ops (9) dominating the hiring mix; this imbalance points to a company scaling brand management and supply-chain efficiency rather than engineering-led product development.
Notable leadership hires: Sourcing Director, Sales Director
E.L.F. Beauty manufactures and sells cosmetics and skincare products across multiple brands, emphasizing clean and cruelty-free formulations. The company went public and operates from Oakland, California, with 201–500 employees. Current projects center on predictive audience targeting, master data management system development, measurement frameworks, and a social-first content strategy—all oriented toward improving customer acquisition and retention. Operational pain points include standardizing and optimizing sourcing processes, diversifying suppliers, maintaining brand consistency across channels, and improving gross margins through cost optimization.
E.L.F. Beauty uses SAP S/4HANA and NetSuite for enterprise resource planning, Snowflake for data warehousing, and dbt + Fivetran + Apache Airflow for data pipeline orchestration and transformation. Atlan provides data governance and catalog.
E.L.F. Beauty has active hiring in the United States, United Kingdom, Germany, India, and China across marketing, operations, sales, data, and engineering functions.
E.L.F. BEAUTY'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.