Rad AI
Senior Technical Program Manager
San Francisco · Senior · Full-time
Sponsorship not specifiedDetected 22 days ago
PythonSQLRESTOAuthMachine LearningLLMsComplianceProduct ManagementProduct StrategyValuationCustomer SuccessPostmanAPI TestingFirewallVPNHIPAAHL7/FHIREHR/EMRPatient CareFDA RegulatoryRadiologyLeadershipCommunicationCollaboration
About the role
- With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%.
- Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M.
- If you're ready to shape the future of healthcare, we'd love to have you on our team!
Responsibilities
- Coordinate security reviews, BAAs/data-use agreements for new integration partners
- Build repeatable playbooks, runbooks, and KPI dashboards that make integrations faster, more predictable, and measurable. This includes tracking key KPIs like time-to-go-live, defect rates, and adoption.
- Drive cross-functional execution of roadmap initiatives across the Reporting product line, partnering closely with engineering, design, implementations, and clinical teams.
- Manage program schedules, scope, and dependencies by identifying risks early and developing mitigation strategies to keep delivery on track.
- Own release coordination, covering QA, testing sign-off, and stakeholder readiness before each deployment.
- Own cross-functional communication for large reporting initiatives, keeping leadership, clinical stakeholders, and other business teams informed on progress, risks, and key decisions.
- Drive quarterly planning cycles for the reporting team by facilitating the planning process, aligning stakeholders on priorities, and tracking commitments through to on-time delivery.
- Experience building KPI frameworks and executive-ready reporting to quantify productivity, quality, and adoption.
- Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care-making a meaningful impact on millions of lives.
- Build repeatable playbooks, runbooks, and KPI dashboards that make integrations faster, more predictable, and measurable.
Requirements
- Familiarity with how orders and results flow between EHR, RIS, PACS, and reporting/dictation systems, and where integration points commonly break.
- Hands-on experience with Mirth Connect, Rhapsody, or Cloverleaf - tracing messages, reading channel logs, and understanding routing and transformation.
- Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent experience).
- Interface engines: Hands-on experience with Mirth Connect, Rhapsody, or Cloverleaf - tracing messages, reading channel logs, and understanding routing and transformation.
- Change-management experience with radiologist end users.
Nice to have
- Able to read and interpret message structure (MSH, PID, OBR, OBX, ORM/ORU segments), spot malformed or missing fields, and trace where a message fails in the pipeline.
- Comfortable with REST APIs, common resources (Patient, DiagnosticReport, ImagingStudy, ServiceRequest), JSON/XML payloads, and reading API/auth errors - OAuth2 and SMART on FHIR a plus.
- Working knowledge of DICOM objects and key tags, study/series/instance hierarchy, and how worklist (MWL) and image/report flow moves through PACS and RIS systems.
- FHIR: Comfortable with REST APIs, common resources (Patient, DiagnosticReport, ImagingStudy, ServiceRequest), JSON/XML payloads, and reading API/auth errors - OAuth2 and SMART on FHIR a plus.
Compensation
- Annual company-wide offsite
Benefits
- 6+ years as a Technical Program Manager in a software or healthcare-IT environment, with a track record delivering complex, cross-functional programs from inception through launch.
- Demonstrated experience managing customer-facing integration and deployment programs, including health-system or enterprise go-lives.
- Enterprise healthcare delivery experience in regulated environments, with working knowledge of HIPAA, PHI handling, and SOC 2 practices.
- Track record leading complex integrations and go-lives with large health systems or radiology groups, including security reviews and cross-vendor dependencies.
This listing is sourced directly from Rad AI's careers page and normalized into a canonical job model.