eGain operates a knowledge management platform built on cloud infrastructure (AWS, Azure, GCP, Kubernetes) serving enterprise customer service teams. Active projects reveal a company in transition: modernizing a legacy platform toward cloud-native architecture while repositioning itself as infrastructure, investing in SRE maturity and observability, and building a sales org equipped for AI-ROI conversations. Pain points around data quality, platform reliability, and knowledge governance suggest eGain is solving for enterprises scaling knowledge-driven AI workflows at scale.
eGain is a publicly traded knowledge management platform company headquartered in Sunnyvale, CA with over 25 years in the category. The platform helps Global 2000 enterprises unify fragmented knowledge content, automate knowledge workflows, and deploy AI-driven customer service automation. The company sells primarily to contact center and customer experience operations teams, with integrations across Salesforce and ServiceNow. Current hiring spans engineering, sales, support, and SRE roles across the U.S., U.K., and India—indicating both product-maturity scaling and geographic service expansion.
eGain runs on AWS, Azure, and GCP with Kubernetes orchestration. The platform integrates with Salesforce and ServiceNow, uses Python and Java for core services, and Selenium/Playwright for testing infrastructure.
Key projects include cloud-native platform modernization, building a world-class SRE organization, launching an observability platform, positioning as an infrastructure play, and scaling a sales team focused on AI knowledge management.
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