UrBox operates a loyalty-and-rewards platform bridging brands, consumers, and a growing merchant network across Vietnam and Southeast Asia. The stack reveals a mature, analytics-forward engineering org: PostgreSQL + AWS/GCP infrastructure, Python + Java + Go on the backend, Next.js on frontend, plus heavy instrumentation (Google Analytics 4, AppsFlyer, Firebase). The hiring mix is sales-led (12 active roles) with meaningful analytics and product depth, while projects cluster around measurement (ROI frameworks, KPI standardization, A/B testing) and scale (merchant acquisition, program optimization, international expansion)—suggesting the core constraint is not technology but go-to-market velocity and operational efficiency.
UrBox is a digital rewards and loyalty platform that enables businesses to operate integrated loyalty programs across a network of national and international merchants. Founded in 2014 and headquartered in Ho Chi Minh City, the company serves mid-market and enterprise brands seeking to distribute rewards digitally to customers, who can redeem them at both online and offline retailers. The product connects three stakeholders: brands (who design loyalty programs), customers (who earn and redeem rewards via app), and merchants (who accept rewards as payment). UrBox operates across Vietnam, Thailand, and the Philippines, with active hiring concentrated in sales and finance roles.
Backend: PostgreSQL, Python, Java, Go, NestJS. Frontend: Next.js, Figma. Cloud: AWS, GCP. Analytics: BigQuery, Looker, Tableau, Power BI, Google Analytics 4. Security tooling: Burp Suite, Nessus, Metasploit.
Current projects include ROI measurement frameworks for loyalty programs, merchant onboarding automation, KPI standardization, A/B testing infrastructure, international cardholder program design, and partnership models for engagement.
UrBox - Digital Rewards & Loyalty Solution'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.