Senior Technical Program Manager

About the Company

Rad AI is on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. We have secured over $140M in funding and are building AI-powered solutions that make a real impact on medical imaging workflows.

Responsibilities

• Align delivery of new vendor integrations at scale by coordinating with deployment and engineering resources.
• Serve as the escalation point for integration issues, triaging HL7, FHIR, DICOM, and PACS/RIS/EHR problems.
• Coordinate security reviews, BAAs, and data-use agreements for new integration partners.
• Build repeatable playbooks, runbooks, and KPI dashboards to make integrations faster and more predictable.
• Drive cross-functional execution of roadmap initiatives across the Reporting product line.
• Manage program schedules, scope, and dependencies while identifying and mitigating risks.
• Own release coordination, including QA, testing sign-off, and stakeholder readiness.
• Lead the rollout of major features in partnership with writing, implementation, and customer success teams.
• Drive quarterly planning cycles and maintain cross-functional communication with leadership and clinical stakeholders.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 6+ years of experience as a Technical Program Manager in software or healthcare-IT.
• Proven track record managing customer-facing integration and deployment programs.
• Deep technical expertise in HL7 v2 (message structure), FHIR (REST APIs, JSON/XML), and DICOM/PACS/RIS.
• Hands-on experience with interface engines like Mirth Connect, Rhapsody, or Cloverleaf.
• Proficiency with diagnostic toolkits including Postman, SQL, and basic Python/shell scripting.
• Strong ability to translate technical details for non-technical clinical or IT stakeholders.

Preferred Qualifications

• Experience in regulated environments with knowledge of HIPAA, PHI, and SOC 2.
• Experience leading complex integrations with large health systems or radiology groups.
• Change-management experience with radiologist end users.
• Exposure to clinical AI regulatory considerations and FDA documentation.
• Experience collaborating with AI/ML engineering teams.