Zingtree builds a no-code workflow platform that deploys AI agents into customer support operations. The stack is modern and distributed—Go, Kubernetes, PostgreSQL, Redis, Vue/React—built for stateful conversational systems at scale. Active projects reveal a shift toward real-time data and CRM integration; hiring is lean and senior-heavy (4 of 5 open roles at senior level), concentrated in engineering and data, suggesting focused product work rather than scaling sales.
Zingtree is a customer experience automation platform that helps support and operations teams deploy AI agents to handle complex interactions. The product centers on deterministic agentic AI—workflows built through natural language and no-code logic that run across support channels (voice, chat, email). The company targets enterprise customers managing high-volume, high-stakes support operations; use cases include call deflection, first contact resolution, and compliance-aware routing. Zingtree operates from Palo Alto with 51–200 employees, hiring primarily in the United States and India.
Backend: Go, Kubernetes, PostgreSQL, MySQL, Redis. Frontend: Vue, React, Angular, Webpack, Vite. Full stack includes PHP, Laravel, JavaScript, HTML5, CSS, and SQL.
Core projects include conversational AI workflow design, real-time clickstream analytics, CRM integrations, and building a new data processing framework to replace third-party solutions.
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