The Prompt Engineer will test AI-generated outputs related to medical data, provide feedback for improvements, ensure quality, and create SOPs for testing processes.

Lead a small front-end engineering team to design and implement React-based features for an AI-driven document claims platform. Architect reusable components, run UX/UI experiments to improve AI productivity, collaborate across teams, and deliver customer-centric front-end solutions focused on usability and performance.

The Senior Manager of Revenue Operations will manage the GTM tech stack, build reporting and analytics infrastructure, ensure data quality, oversee revenue planning, and lead a high-performing RevOps team.

Lead scaling and innovation of ML systems: design and implement models for medical/insurance documents, scale inference and training pipelines, build robust Python APIs, ensure reliability and model lifecycle management, collaborate across teams, and develop evaluation with human-in-the-loop processes.

The Customer Enablement Specialist will enhance customer learning and self-service capabilities, produce and manage educational content, and support strategic account training in a fast-paced AI-driven environment.

The Senior Solutions Engineer will design and deliver effective solutions for enterprise use cases, engaging with customers, Sales, Product, and Services to ensure successful problem-solving and implementation.

The Senior Solutions Engineer designs and delivers solutions for complex enterprise use cases, collaborating with customers and cross-functional teams to ensure successful outcomes while balancing practicality and scalability.

The Strategic Customer Success Manager will manage relationships with major insurance carriers, ensuring customer success and renewal through strategic engagement, risk management, and collaboration with internal teams.