In-memory distributed computing platform for low-latency, mission-critical applications
Hazelcast is a distributed computing platform built on Java, Kubernetes, and AWS, designed for financial services, e-commerce, and logistics enterprises requiring sub-millisecond latency and high availability. The hiring profile—three directors and a VP split evenly between engineering and sales, with only one role posted in the last 30 days—suggests a mature, stable org focused on execution rather than scaling. Active projects center on partner-led growth (regional campaigns, joint GTM, partnerships team) and open-source stewardship, indicating a shift toward ecosystem expansion as a customer-acquisition lever.
Notable leadership hires: Sales Director
Hazelcast provides a distributed in-memory computing platform that combines compute, data storage, intelligent integration, and vector search capabilities. The product targets Global 2000 enterprises in regulated and high-velocity industries—financial services, e-commerce, and logistics—where application resilience and sub-millisecond latency are non-negotiable. Founded in 2010 and based in Palo Alto, the 51–200-person company operates a balanced go-to-market: direct sales (supported by Salesforce, Outreach, and ZoomInfo) and developer-led adoption through open-source Java libraries and Kubernetes-native deployment patterns. Internal priorities include expanding pipeline, building initial partnerships, driving renewal and expansion revenue, and maintaining SOC2 compliance across a distributed platform stack.
Java, Kubernetes, AWS, Terraform, Prometheus, Grafana, OpenTelemetry, ArgoCD, Helm, Jenkins, Go, Python, C#, and C++. Sales stack includes Salesforce, Outreach, and Seamless.ai.
Palo Alto, California. The company was founded in 2010 and is privately held with 51–200 employees.
Hazelcast'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.