Envoy provides a workplace management platform that unifies visitor management, emergency management, digital signage, mailroom management, space planning, and resource booking into a single system. The company serves more than 16,000 workplaces across various sectors, including manufacturing sites, data centers, pharmaceutical labs, healthcare facilities, and corporate headquarters. Its platform is designed to help organizations maintain secure, compliant, and connected operations by integrating with existing access control, identity, compliance, and collaboration tools.
About Envoy
Envoy provides a workplace management platform that unifies visitor management, emergency management, digital signage, mailroom management, space planning, and resource booking into a single system. The company serves more than 16,000 workplaces across various sectors, including manufacturing sites, data centers, pharmaceutical labs, healthcare facilities, and corporate headquarters. Its platform is designed to help organizations maintain secure, compliant, and connected operations by integrating with existing access control, identity, compliance, and collaboration tools.
In terms of its technical initiatives involving artificial intelligence and machine learning, Envoy builds and deploys AI-powered solutions to address real business problems. The company's technology work incorporates large language models, agents, APIs, and automation frameworks to create internal applications, tools, and integrations across internal systems and data sources.
The open roles at Envoy indicate that the company is building technical teams focused on applied AI and solutions engineering. The available position is a Solutions Engineering Intern role located at the company headquarters in San Francisco, California. This position is an onsite role requiring attendance five days a week, Monday through Friday, and is aimed at individuals currently pursuing a degree in Computer Science, Data Science, Engineering, or a related technical field who will work hands-on with engineering, data, AI, and business teams.
