Design, build, and deploy AI features for claim synthesis; implement machine learning solutions and improve model performance through collaboration and evaluation.

The Technical Engagement Manager oversees client project delivery, enhances operational product success, and manages timelines while ensuring client satisfaction through effective communication and data analysis.

As a Principal Software Engineer, you'll architect version 2 of an AI claims management platform, designing complex systems for insurance claims handling while mentoring engineers and collaborating with leadership.

Design and deliver customer-facing applications using Agentic technologies, maintain backend REST servers, and collaborate with cross-functional teams to build scalable solutions.

Design and implement AI-driven features for claims synthesis, leveraging LLMs and statistical techniques, while ensuring system performance and accuracy.

The Staff Software Engineer will lead the development of AI Claims Guidance software, building scalable APIs and backend services while collaborating with product and data teams to enhance insurance technology.

Lead enablement and go-to-market strategies for new solutions, turning complex product capabilities into clear narratives. Collaborate with Sales and Product teams to ensure effective positioning and messaging, enhancing commercial impact and readiness for market launch.

The SME Consultant will validate AI outputs, evaluate product features, label medical data, provide workflow insights, and ensure a good user experience for claims professionals.

Translate complex model behaviors into actionable insights, lead discovery and requirements for AI features, build scalable automated client reporting, and create data visualizations and ROI-driven business cases to advise Product, Client Services, Sales, and Data Science teams.

As a Senior or Lead Technical Recruiter, you will manage end-to-end recruiting for technical roles, ensuring a seamless candidate experience while collaborating with engineering leaders and hiring teams.

Lead the strategy and execution of data-driven products in an AI insurance SaaS context, collaborating with engineering, data science, and business teams to deliver impactful solutions.

The AI Engineering Manager will lead and mentor engineering teams, ensure project execution and delivery, oversee technical standards, and drive operational excellence while managing stakeholder relationships.

As an AI Engineering Manager, you'll lead engineering teams, ensuring project execution, adherence to standards, and fostering team culture while driving strategic alignment with stakeholders.

The AI Engineering Manager will lead engineering teams, manage project delivery, ensure technical quality, and foster a collaborative team culture while aligning with strategic objectives.

Lead execution of complex software projects with a security and compliance focus; define program strategy; coordinate cross-functional teams; manage risks, budgets, schedules, and resources; drive process improvements and ensure quality, performance, and stakeholder alignment.