Cloud GSOC platform automating physical security alarm operations
HiveWatch builds cloud software that helps global security operations centers triage alarms and automate routine response work. Its stack pairs AWS EKS, Kinesis and Terraform with IoT Edge, Rust and on-prem virtualization (VMware ESXi, Proxmox), a hybrid cloud-to-edge footprint tied to integrating access control and video systems. Accelerating hiring tilts toward security and engineering, with a new Customer Success Director pointing to post-sale scaling.
Notable leadership hires: Customer Success Director
HiveWatch, founded in 2020 and headquartered in El Segundo, California, develops a cloud-based platform for managing global security operations centers (GSOCs). The software applies AI-driven automation to alarm handling so operators spend less time on repetitive tasks and false alarms. It serves enterprise physical security teams that run monitoring operations across sites. The privately held company employs 51–200 people and currently hires in the United States across security, engineering, sales, marketing and customer success.
HiveWatch runs on AWS (EKS, RDS, Lambda, Kinesis) plus GCP, with Kubernetes, Docker, Terraform, Terragrunt and Helm. Code spans TypeScript, Python, Rust, Kotlin and Java, monitored with Prometheus, Grafana and Datadog.
Yes. Hiring is accelerating in the United States, led by security and engineering roles, with sales, marketing and customer success also growing, including a Customer Success Director position.
Current initiatives include edge infrastructure for its SaaS platform, integrating cloud-based access control and video management, an account health framework, scalable onboarding, and scaling the sales organization.
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HiveWatch'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.