Multi-category secondhand marketplace operator across Southeast Asia
Carousell Group runs a portfolio of recommerce marketplace brands from Singapore, built on Go, Java, Python and Kotlin with PostgreSQL, Cassandra and Redis underneath. A generative AI layer of OpenAI, Anthropic, Gemini, LangGraph and RAG, plus pain points around AI tool selection and cost-latency tradeoffs, shows LLM features moving into production. Accelerating hiring tilts toward marketing and sales, much of it at intern level.
Carousell Group, founded in 2012 and headquartered in Singapore, operates marketplaces for buying and selling pre-owned goods across multiple Southeast Asian markets. Its brand portfolio includes Carousell, Cho Tot, Laku6, LuxLexicon, Mudah.my, OneShift, REFASH and Revo Financial. The company is privately held and employs 501–1,000 people, with teams spanning Southeast Asia, India, Taiwan and Hong Kong. Current hiring covers Singapore, Malaysia, India and China. Business systems include NetSuite and Salesforce, alongside an Adobe and Canva content toolchain.
Carousell runs Go, Java, Python and Kotlin with PostgreSQL, Cassandra and Redis, Jenkins for CI, Android SDK with RxJava, plus OpenAI, Anthropic, Gemini, LangGraph and RAG for AI work. NetSuite and Salesforce support operations.
Yes, hiring is accelerating, led by marketing and sales, with engineering, legal and ops roles too. Many openings are intern and junior level, across Singapore, Malaysia, India and China.
Job posts point to AI-powered skills and workflows, self-served multi-market marketing campaigns, in-store live-streaming and activation events, personal data management planning and incident response support.
Other companies in the same industry, closest in size
Carousell Group'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.