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Glassbox Tech Stack

AI-powered session analytics and digital experience monitoring for enterprises

Software Development London, England 201–500 employees Founded 2010 Public Company
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Glassbox captures and analyzes complete user sessions across web and mobile to surface digital friction points for regulated enterprises. The stack reveals a data-heavy architecture: Kafka, Cassandra, Elasticsearch, and ClickHouse handling session ingestion; Spark and dbt for transformation; Snowflake for analytics. Engineering dominates hiring (7 of 17 active roles), with DevOps and infrastructure leadership positions open — a clear signal that scaling globally distributed ingest and storage is the immediate constraint.

Tech Stack 47 technologies

Core StackSalesforce AWS Docker Kubernetes Helm Terraform Jenkins Prometheus Grafana Loki Node.js Java Spring Cassandra Kafka PostgreSQL Elasticsearch ClickHouse Apache Spark Iceberg Apache Kafka RabbitMQ Jira Snowflake dbt Azure Bash OpenSearch GCP ActiveMQ+16 more

What Glassbox Is Building

◆Challenges

  • Bottlenecks and scalability issues
  • Handling massive traffic loads
  • Ensuring reliability and scalability
  • Improving digital experience
  • Uncover digital issues
  • Inadequate instrumentation
  • Fraud detection
  • Customer journey optimization
  • Cost optimization across cloud environment
  • Modernizing legacy systems

▲Active Projects

  • Internal tooling and frameworks
  • Ingestion indexing storage workflows
  • Scalable globally distributed infrastructure
  • Monitoring and alerting solution implementation
  • Ci/cd pipeline optimization
  • Core data infrastructure
  • Automated email playbooks
  • Complex deal management
  • Kpi framework definition
  • Ci/cd pipeline improvement

Hiring Activity

Accelerating15 roles · 10 in 30d

Department

Engineering
7
Data
2
HR
2
Sales
2
Support
2
Finance
1
Legal
1

Seniority

Senior
11
Lead
3
Mid
2
Manager
1

Notable leadership hires: DevOps Lead

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About Glassbox

Glassbox is a UK-listed AI-driven platform that records, analyzes, and optimizes user interactions across digital channels for large enterprises in regulated industries like financial services and fintech. The product delivers 100% session capture with real-time alerting and ML-driven insights to detect fraud, resolve customer friction, and improve compliance. The company operates a distributed architecture spanning AWS, Azure, and GCP, serving organizations that require high-volume session replay and analytics at scale. Hiring is accelerating, concentrated in platform engineering and infrastructure roles across the US, Israel, and UK.

HeadquartersLondon, England
Company Size201–500 employees
Founded2010
Hiring MarketsUnited States, Israel, United Kingdom

Frequently Asked Questions

What tech stack does Glassbox use?

Kafka, Cassandra, and Elasticsearch for ingestion and indexing; Spark and dbt for transformation; Snowflake for analytics. Cloud infrastructure spans AWS, Azure, and GCP. CI/CD powered by Jenkins; monitoring via Prometheus and Grafana.

What are Glassbox's main technical challenges?

Handling massive traffic loads at scale, ensuring reliability across globally distributed infrastructure, and cost optimization across multi-cloud environments. Active projects focus on scalable ingest, storage workflows, and monitoring implementation.

How this profile is built

Glassbox'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.