Press Ganey
Press Ganey provides patient, member, and workforce experience measurement and analytics for hospitals, health systems, and health plans, plus advisory services. Its platform supports regulatory surveys like HCAHPS/CGCAHPS and integrates feedback to drive quality improvement and physician and employee engagement. Founded in 1985 and headquartered in South Bend, Indiana, the company is privately held under Ares Management’s ownership.
Open Positions at Press Ganey
6 open positions
Lead the design, implementation, and operation of production-grade ML and LLM systems powering high-volume text analytics and AI products. This hands-on technical leadership role focuses on reliable Python services, Databricks-based data platforms, AI evaluation, and scalable distributed processing.
Press Ganey is seeking an ML Engineer II to build and scale production machine-learning systems, AI agents, and agentic workflows for healthcare and enterprise applications. The role combines model productionization with hands-on development in a Java/Spring platform and distributed microservices environment.
Lead the transition of AI agent prototypes into scalable, production-ready products for healthcare and enterprise customers. This Staff ML Engineer will shape AI architecture, engineering standards, and technical strategy across multiple business units.
Senior Software Engineer/Data Engineer responsible for building and supporting Clinical Solutions products across front-end applications, data systems, and software services. The role combines hands-on development with mentoring, technical reviews, issue resolution, and coordination across IT and business teams.
Build and support backend software features for Press Ganey’s AI-enabled Hyperlift Stars Platform. This hybrid role owns work across implementation, testing, deployment, observability, and long-term maintenance.
Senior Software Engineer leading the design, development, and delivery of complex backend features and scalable data services for Press Ganey’s Hyperlift Stars Platform. The role provides technical direction while applying AI-native engineering practices to improve reliability, efficiency, and user value.