Loyalty and fintech super app connecting Brazilian consumers to rewards and financial services
Dotz operates a dual-layer platform: a loyalty rewards network spanning retail, e-commerce, banking, and telecom partnerships, plus an embedded fintech layer (digital accounts, credit products, cash back). The tech stack reveals a mobile-first architecture (React Native, iOS, Android, Kotlin Multiplatform) paired with backend financial services infrastructure (SQL Server, PostgreSQL, FastAPI). Current hiring focus is engineering-heavy with emerging data and CRM optimization roles, while active projects cluster around credit origination efficiency, loyalty engagement, and operational automation—suggesting internal friction between legacy microservices and the need to scale fintech risk and customer journey orchestration.
Notable leadership hires: Tech Lead
Dotz is a 20+ year-old Brazilian fintech and loyalty platform serving over 50 million consumers. The company operates as a super app where users earn rewards on everyday purchases through partnerships with major retailers, banks, and telecommunications operators, then redeem those rewards as products, services, discounts, or cash back. The platform also offers embedded financial products—digital accounts, credit cards, and personal loans—creating a closed-loop engagement model where transaction activity drives both loyalty accrual and credit origination. Dotz is privately held, based in Brazil, and operates across 201–500 employees.
Dotz uses React Native, JavaScript, TypeScript, React, Kotlin, and Jetpack Compose for mobile and web frontends across iOS and Android. Backend is powered by Python (FastAPI), C# (.NET Core), and SQL databases (PostgreSQL, SQL Server, MySQL). CRM and marketing operations run on Salesforce and Adobe Responsys. Data analytics relies on Power BI.
Active projects focus on credit origination efficiency and loyalty engagement: CRM campaign execution and performance analysis, customer journey optimization, multichannel relationship ladders, loyalty program engagement strategy, operational automation, and AI-driven process improvements.
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