In-memory computing platform for low-latency data and distributed compute
Hazelcast operates an in-memory data and compute platform used by Global 2000 enterprises in financial services, e-commerce, and logistics. The tech stack is anchored in Java with Kubernetes and Helm for orchestration, plus a sales infrastructure layer (Salesforce, Outreach, LinkedIn, ZoomInfo, Seamless.ai) that reflects a sales-led motion. Active hiring is concentrated in sales (director and VP roles), with project focus split between partnership expansion (global partner strategy, joint GTM) and core platform work (open-source stewardship, runtime engine), indicating a shift toward channel and ecosystem scaling alongside product maturation.
Notable leadership hires: Sales Director
Hazelcast is a distributed computing platform company founded in 2010 and headquartered in Palo Alto. The platform combines in-memory data storage, distributed compute, intelligent integration, and vector search capabilities designed for mission-critical applications. It is deployed at large enterprises in financial services, e-commerce, and logistics sectors. The company operates a 51–200-person organization with accelerating sales hiring and active development of both core runtime capabilities and open-source community engagement. Current operational priorities include scaling real-time data processing, operationalizing ML models, ensuring platform resilience, and expanding revenue in emerging markets like India.
Java, C#, and C++ form the core platform. Infrastructure uses Kubernetes and Helm. Go-to-market tools include Salesforce, Outreach, LinkedIn, ZoomInfo, and Seamless.ai.
Palo Alto, California. The company is hiring in the United States and India.
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