Torq builds an AI-driven SOC automation platform that connects to EDR and SOAR tooling to move alerts from triage to resolution. Hiring skews heavily toward senior sales roles, pointing to an enterprise go-to-market push, while the internal stack (n8n, Zapier, Workato, Tray.io, dbt) and an AI business systems project show the company automating its own revenue operations too. Cursor adoption signals AI-assisted engineering.
Notable leadership hires: R&D Team Lead
Torq, founded in 2020 and headquartered in New York, develops a security operations platform that pairs AI agents with automation to help enterprise security teams triage, investigate and respond to threats. The platform integrates across customers' existing security tools and uses risk context to prioritize what matters. The privately held company employs 201–500 people and hires across the United States, Israel, the United Kingdom, Brazil and Costa Rica. Its infrastructure runs on Kubernetes across AWS, GCP and Azure, with GitLab, ArgoCD and Terraform supporting delivery.
Torq runs on Kubernetes (AWS EKS, OpenShift) across AWS, GCP and Azure, with Python, Kafka, Pub/Sub, Docker, GitLab, Jenkins, ArgoCD and Terraform. Business systems include Salesforce, HubSpot, NetSuite and Gong.
Yes. Sales is Torq's dominant hiring area, weighted toward senior and manager-level roles, alongside smaller product, engineering and security hiring across the US, Israel, UK, Brazil and Costa Rica.
Torq's job posts point to agentic AI workflows, AI-driven SOC automation, deeper security stack integrations, enterprise platform adoption and expansion into the financial services vertical.
Other companies in the same industry, closest in size
Torq'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.
