AI-powered session analytics and digital experience optimization for enterprises
Glassbox captures and analyzes user interactions across digital channels for large regulated enterprises. The tech stack is infrastructure-heavy—Kubernetes, Kafka, ClickHouse, Cassandra, Spark, and OpenSearch—reflecting the scale of session data ingestion and real-time alerting that the product requires. Active projects center on monitoring, data ingestion pipelines, and backend refactoring, while pain points signal ongoing work on cost optimization and modernization of legacy systems; hiring is accelerating across engineering and data roles.
Notable leadership hires: DevOps Lead
Glassbox is an AI-driven platform that captures full-session user interactions on web and mobile, then surfaces real-time insights and alerts to detect fraud, improve experience, and ensure compliance. The company serves large enterprises in regulated industries—financial services, banking, lending—where understanding customer digital journeys and preventing fraud carry high operational weight. With 201–500 employees based in London and active hiring across Israel, the US, and the UK, the company operates as a public entity serving customers globally.
Core infrastructure: AWS, Kubernetes, and GCP. Data layer: Kafka, ClickHouse, Cassandra, PostgreSQL, OpenSearch, Elasticsearch. Processing: Apache Spark, Iceberg. Observability: Prometheus, Grafana, Loki. DevOps/CI: Docker, Helm, Terraform, Jenkins.
Israel, United States, and United Kingdom. Headquarters is London, England.
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