AI-powered field service management platform for frontline workforce and asset operations
Zinier operates a field service management platform built on AWS + Kubernetes with ML depth (PyTorch, TensorFlow, Hugging Face) focused on scheduling, dispatching, and asset maintenance. The hiring mix—engineering-heavy (17 roles) with meaningful support (10) and sales (9)—reflects a company scaling post-implementation support and enterprise customer delivery while managing long, complex sales cycles. Current project focus on post-sales success, partner enablement, and large-enterprise delivery signals a shift toward land-and-expand motions as the core product stabilizes.
Notable leadership hires: Technical Lead
Zinier is a field service management platform serving telecommunications, utilities, energy, EV infrastructure, and manufacturing sectors. The product orchestrates workflows for scheduling, dispatching, and maintenance while providing real-time tracking and mobile support for technicians and field operators. The company operates across five countries (United States, United Kingdom, India, Germany, Spain) and serves mid-market to enterprise customers managing distributed frontline workforces. Pain points center on post-launch value realization, technology adoption, and reducing sales-cycle length—areas now being addressed through expanded customer success, partner ecosystems, and strategic account expansion initiatives.
AWS, Kubernetes, RDS, DynamoDB, React, Angular, Java, PyTorch, TensorFlow, and Hugging Face. Observability via Prometheus, Grafana, Datadog, and Kibana. Mobile on Android and iOS.
Telecommunications and fiber, utilities, energy, EV infrastructure, and manufacturing. Focus on organizations managing large distributed field workforces and critical assets.
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