Vietnamese consumer fintech app for payments, bill pay and AI services
MoMo runs a consumer financial app in Vietnam on a data-heavy stack (Kafka, Spark, Hadoop, Cassandra) across both GCP and AWS. Its LLM toolkit spans GPT, Gemini, Llama, Qwen, LangChain and LlamaIndex, pointing to multi-model AI experimentation rather than a single-vendor bet. Accelerating, senior-weighted hiring centers on product and data, with fraud detection the most repeated theme in job posts.
Notable leadership hires: Media Team Lead, Associate Creative Director
MoMo (M_Service) is a Vietnamese fintech company founded in 2007 and headquartered in Ho Chi Minh City. It operates a consumer app that lets users make payments, manage money, invest, access credit and run small businesses. The company employs between 1,001 and 5,000 people and works with domestic merchant partners and banks across Vietnam. Current product work includes bill payment and public services features, alongside internal platforms for data scientists. Hiring is concentrated in Vietnam.
MoMo uses Python, Java and C++ with Kafka, RabbitMQ, Spark, Hadoop, Cassandra, PostgreSQL, MongoDB, Redis and Oracle, hosted on GCP and AWS, plus LLM tools like GPT, Gemini, Llama, Qwen and LangChain.
Yes. MoMo's hiring is accelerating, led by product and data roles, followed by marketing and design, mostly at senior level and based in Vietnam.
Job posts point to a fraud detection system, a platform for data scientists, bill pay and public services features, growth funnel optimization and design-to-code component translation.
Other companies in the same industry, closest in size
MoMo (M_Service)'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.