AI and low-code field service management platform for frontline operations
Zinier sells a field service management platform that automates scheduling, dispatch and asset maintenance for technician-heavy industries. Adoption of Cursor and RAG, plus projects around an AI evaluation and regression framework and LLM capability integration, show the product shifting toward embedded generative AI. Accelerating hiring weighted toward support, engineering and sales points to an enterprise motion where long, complex deals and implementations are the bottleneck.
Notable leadership hires: Technical Lead Frontend, Support Lead
Zinier, founded in 2018 and headquartered in San Mateo, California, builds field service management software with AI and low-code/no-code workflow automation. The platform covers scheduling, dispatching, maintenance tasks, real-time tracking and mobile tools for technicians. It targets organizations in telecommunications and fiber, utilities, energy, EV infrastructure and manufacturing. The privately held company has 51–200 employees and hires across India, the United States and the United Kingdom.
Zinier runs Java and Spring Boot on AWS (including Lambda) with MySQL and Redis, React, Angular and TypeScript frontends, Grafana, Loki and Tempo for observability, and Appium, Selenium and BrowserStack for testing.
Yes, hiring is accelerating, concentrated in support, engineering and sales, with leadership openings such as Technical Lead Frontend and Support Lead. Roles are based in India, the United States and the United Kingdom.
Current work includes an AI evaluation and regression framework, AI/LLM capability integration, intelligent scheduling validation, low/no-code platform enhancements and performance and resilience testing.
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Zinier'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.