Rad AI builds generative AI software for radiology that automates impression generation, integrates with voice-recognition and EMR workflows, reduces dictation workload, and automates incidental-finding tracking and follow-up.
ABOUT RAD AI At Rad AI, we’re 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. 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. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI. Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health. Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie https://www.radai.com/news/auntminnie-recognizes-rad-ai-omni-reporting-as-2023s-best-new-radiology-software, and ranked by Deloitte https://www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/articles/fast500-winners.html as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact. Most recently, Rad AI was named to CNBC’s Disruptor 50 https://www.cnbc.com/2025/06/10/2025-cnbc-disruptor-50-see-the-full-list-of-companies.html list, highlighting the innovation and momentum behind our mission. If you’re ready to shape the future of healthcare, we’d love to have you on our team! 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. THE ROLE 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. HERE'S WHAT YOU'LL BE DOING: - Own the roadmap and execution for the Rad AI SDK and DICOM routing product initiatives, end-to-end. - Define the developer experience for partners building on Rad AI—APIs, SDK surfaces, documentation, onboarding flows, and the integration patterns that make adoption straightforward. - Drive requirements and delivery for image routing, orchestration workflows, and the routing primitives exposed through the SDK. - Start from what we already have—work with engineering and technical stakeholders to evaluate existing infrastructure and integration patterns instead of reinventing from scratch. - Lead partner integrations across the ecosystem (AI vendors, modality/PACS providers, reporting tools, downstream care systems), making sure partners can ship integrations quickly and reliably. - Bring partner-generated content—preliminary reports, findings, measurements, and other outputs—into the product in a way that is easy for customers to evaluate and adopt. - Drive clear scope, sequencing, owners, and milestones toward a credible RSNA story and launch plan. - Partner with leadership to ensure product decisions support the broader platform and commercialization narrative. YOU'RE THE RIGHT PERSON FOR THIS ROLE IF: - You are a product manager with experience shipping SDK, API, or developer-platform products—someone who has set external builders up for success and is comfortable owning a developer experience end-to-end. - You have experience with DICOM, imaging workflows, radiology IT, PACS, routing, or interoperability products (strongly preferred). - You've shipped technical platform or infrastructure-adjacent products and are comfortable in dependency-heavy systems and detailed implementation conversations. - You are comfortable working across engineering, product, and external partners in ambiguous, fast-moving environments—and you can keep stakeholders aligned as conditions change. - You can translate strategic direction into concrete product plans and execution, with clear scope, owners, and milestones. - You have strong technical fluency and can operate in dependency-heavy systems, partnerin