Zesty automates infrastructure cost reduction across Kubernetes clusters running on AWS, Azure, and GCP. The company's sales stack (HubSpot, Outreach, Salesforce, Gong, Chili Piper) is built for pipeline velocity, while the data/analytics layer (Databricks, Spark, Airflow, Tableau) supports their own cloud optimization insights. Active hiring is heavily skewed toward sales (3 open roles) against engineering (1), indicating a shift from product-market fit toward rapid customer acquisition.
Zesty builds automation tooling that reduces Kubernetes infrastructure costs without sacrificing service-level objectives. The platform spans compute optimization (pod right-sizing, spot automation), storage scaling, and cloud commitment management across EKS, Azure, and GCP. Founded in 2019, the company operates at 51–200 employees from San Mateo and is actively hiring in the United States and Israel. Internal challenges include top-of-funnel optimization and scalable lead-lifecycle processes, which align with their current project focus on pipeline building and discovery workflows.
Kubernetes, AWS EKS, Terraform, Helm, Docker, Node.js, React for product. Sales stack: HubSpot, Outreach, Salesforce, Gong. Data: Databricks, Apache Spark, Airflow, Tableau.
San Mateo, California. The company also hires in Israel and the United States.
Zesty'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.