The Customer Support Program Manager will design and lead support infrastructure for the VA clinicians using Knowtex's technology, ensuring effective operations, team management, and high service quality while optimizing technical issue resolution.

The Clinical Implementation Specialist will deliver training, support integration of AI technology, and address clinician needs to enhance workflow in VA sites.

This position invites individuals to join a talent community, expressing their interests and skills for future roles. It focuses on connecting with potential candidates for future opportunities aligning with the company's mission.

The Business Development Representative will generate qualified leads, research healthcare organizations, execute outreach, and collaborate with teams to refine strategies, focusing on healthcare technology.

The Integration Engineer at Knowtex is responsible for designing and implementing healthcare system integrations, ensuring scalable and secure data pipelines, and monitoring integration health while collaborating with various teams.

Develop, scale, and maintain backend services for an AI-driven clinical documentation platform, ensuring reliability and compliance in healthcare environments.

The Engineering Program Manager drives execution excellence and manages complex software delivery across multiple engineering teams in a fast-growing healthcare technology environment.

The ML Scientist will develop machine learning models for medical NLP and speech recognition, optimize pipelines, and transition research to production systems.

The Mobile Developer will build and scale mobile applications for clinicians, focusing on integration with AI-powered backend systems and ensuring performance and security compliance.

The Applied ML Engineer will productionize and scale machine learning systems for a voice AI platform, optimizing deployment and performance in healthcare environments.

As a Customer Support Specialist, you will manage support tickets from clinicians, collaborate with internal teams, optimize documentation workflows, and train staff on voice documentation.