E-commerce marketplace connecting shoppers, brands and sellers across Asia and Brazil
Shopee runs a consumer marketplace across Southeast Asia, East Asia and Brazil, and its hiring skews heavily toward operations, sales and marketing rather than core engineering. A dense BI layer (Power BI, Tableau, Qlik, Metabase, Looker Studio) alongside early RAG adoption points to a data-driven seller and campaign operation, with job posts focused on seller performance analysis and standardizing data metrics.
Notable leadership hires: Warehouse Shift Lead, Operations Improvement Lead, Strategic Improvement Lead, Functional Lead, Recruitment Lead
Shopee is a Singapore-headquartered e-commerce platform that connects shoppers, brands and sellers in a single marketplace, with payment and fulfilment support. It is part of Sea Limited and employs 5,001–10,000 people. The company operates in Southeast Asia, Taiwan and Brazil, and is currently hiring in Malaysia, Indonesia, the Philippines, Thailand, Vietnam, Brazil, Japan, South Korea and Singapore. Its workforce spans operations, sales, marketing, data, product, finance and logistics, including warehouse operations.
Shopee's stack includes Python, Oracle and JavaScript, BI tools like Power BI, Tableau, Qlik and Metabase, marketing tools such as Google Ads, Meta Ads Manager, HubSpot and Ahrefs, plus a WMS. It is adopting RAG.
Shopee is hiring in Malaysia, Indonesia, the Philippines, Thailand, Vietnam, Brazil, Japan, South Korea and Singapore, with operations, sales and marketing roles most prominent.
Job posts point to seller performance analysis, campaign planning, performance dashboards, standardizing data metrics, merchant growth initiatives and opening new local operations.
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Shopee'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.