About the SDK and DICOM Routing
DICOM is the standard for moving medical images across the imaging stack—between modalities, PACS, viewing workstations, AI services, and downstream reporting systems. How well that flow is orchestrated determines whether AI can be deployed reliably at scale: which studies get routed where, how outputs come back, and how everything stays in sync with the radiologist’s workflow. DICOM routing is the plumbing that makes the rest of the platform possible.
The Rad AI SDK is how partners across the imaging ecosystem—AI vendors, modality and PACS providers, reporting and workflow tools, and downstream care systems—plug into that platform. It is the surface where partner-generated content (preliminary reports, findings, measurements, worklist signals, and more) flows into the radiologist’s reporting experience, and where partners can consume the routing, orchestration, and reporting capabilities Rad AI exposes. A well-designed SDK turns Rad AI Orchestration from an internal platform into an open ecosystem.
Together, DICOM routing and the SDK form the connective layer that makes Rad AI’s broader platform real: routing standardizes how images and AI outputs move, and the SDK standardizes how partners build on top of it.
This is a high-priority role with tight timelines. We need a Product Manager who can move quickly, work cross-functionally, and connect technical execution with a broader commercial and platform strategy.
You will own product planning and execution for the Rad AI SDK and the DICOM routing capabilities it exposes to partners. You’ll define the developer experience, the integration patterns, and the routing workflows that let ecosystem partners build on Rad AI’s platform. You’ll partner deeply with engineering on the technical foundations, and with leadership on how this work supports a credible RSNA story and a broader platform narrative.