AI-powered user behavior analytics and insider risk management platform
Teramind builds user behavior analytics and insider threat detection for mid-market and enterprise security teams. The stack—React, Node.js, PostgreSQL, ClickHouse, TensorFlow, PyTorch—reveals a data-first architecture designed for real-time analytics at scale. The engineering-heavy org (83 roles) paired with principal-level hiring concentration and active projects around scalable data platforms, query performance, and multi-tenant SaaS growth signal a company scaling its analytics engine and customer base simultaneously while managing infrastructure costs.
Teramind provides user behavior analytics, insider risk management, and workforce intelligence solutions. The platform monitors digital activity across organizations, surfacing compliance, productivity, and security insights. Built in 2014 and now operating across 18+ countries with distributed engineering (Bulgaria, Eastern Europe, North America, and Southeast Asia), Teramind serves organizations that need granular visibility into user actions, privileged access, and data movements. Core capabilities span real-time tracking, DLP, compliance auditing, and behavior-based threat detection.
Frontend: React, TypeScript, GraphQL. Backend: Node.js, Go, Python, FastAPI. Data: PostgreSQL, ClickHouse, Redis. ML: TensorFlow, PyTorch. Infrastructure: Docker, Kubernetes. Native: C++, Windows API, Objective-C.
Primarily Bulgaria, United States, Slovakia, Lithuania, Romania, and Ukraine. Also hiring in Croatia, Slovenia, Serbia, Bosnia, Moldova, Colombia, Brazil, Mexico, Costa Rica, Philippines, Indonesia, Israel, and Estonia.
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