Chargeflow automates chargeback prevention and recovery using a TypeScript/Node.js/Kafka stack deployed on AWS Kubernetes infrastructure. The company is actively migrating its codebase from JavaScript to TypeScript while embedding AI features (ChatGPT, Claude) into core workflows—a pattern that suggests engineering focus on both infrastructure maturity and AI product differentiation. Hiring skews heavily senior (12 of 19 tracked roles), concentrated in engineering, indicating a scale-phase company moving from manual chargeback operations toward autonomous systems.
Chargeflow provides an automated chargeback prevention and recovery platform for e-commerce and payment businesses. The product uses proprietary AI logic to reduce chargeback losses without manual intervention, protecting what the company describes as billions in processed revenue. The platform integrates with payment processors (Stripe, Shopify) and CRM systems (HubSpot) to surface alerts and drive recovery workflows. Founded in 2020 and headquartered in New York, Chargeflow operates a distributed team across the United States, Israel, and the Philippines, with active hiring concentrated in backend engineering, platform infrastructure, and go-to-market roles.
TypeScript, Node.js, React, Next.js on AWS (EKS, ECS). Data layer: Kafka, MongoDB, PostgreSQL. AI: ChatGPT, Claude. Testing: Jest, Cypress. Frontend tooling: Vite, Webpack, Storybook, Tailwind.
Scalable data platform, AI-powered features, security monitoring tooling, TypeScript migration, backend service reliability, and GTM workflow automation.
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