As an IT Manager at PathAI, you will lead an IT team, manage Google Workspace and Okta SSO, provide technical support, ensure security compliance, and handle vendor management.

Develop and implement full-stack applications, mentor engineers, drive architecture decisions, and ensure compliance in a medical software environment.

As a Staff Software Engineer, you will solve backend challenges, design scalable services, collaborate with teams, mentor others, and ensure compliance for medical software.

The AI Product Manager will oversee the execution of PathAI's product roadmap, collaborating with cross-functional teams to develop and launch AI products in healthcare, while ensuring alignment on product direction and performance monitoring.

The Implementation Engineer will support customers during SaaS product implementations, manage project timelines, and provide technical assistance.

The Director of Engineering will lead multiple engineering squads, providing technical direction and ensuring scalability and reliability of the AiSight Platform, while fostering cross-functional collaboration and mentoring teams.

The Machine Learning Engineer will develop and deploy ML models for AI products, enhancing patient care through collaboration and innovative solutions.

The Implementation Engineer will support digital diagnostics customers, manage implementations, provide technical support, and ensure smooth project delivery.

The Senior Product Manager for AI Products at PathAI will oversee product roadmaps, collaborate cross-functionally, and drive the development of algorithm-based products.

The Software Engineer II will enhance backend features, develop data pipelines, collaborate with teams, and ensure code quality to support internal and external users.

Lead and optimize platform product initiatives at PathAI, collaborating with various teams to enhance user experience and product performance.

Lead and coordinate QA processes with development squads, ensure quality in testing, manage QA backlog, and oversee automation efforts.

Design, develop, and scale machine learning infrastructure for enterprise AI systems, ensuring performance, security, and compliance while collaborating with cross-functional teams.

The Senior Software Engineer will develop Python-based applications, solve complex problems, collaborate across teams, and maintain high engineering standards.

The Machine Learning Engineer will develop and deploy machine learning models, collaborate with teams, and contribute to experimental designs and product requirements.