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! We build AI that sits directly in the radiologist’s workflow: - Rad AI Impressions automatically drafts the impression section of reports in real time. - Rad AI Reporting is a full radiology reporting platform powered by GenAI. - Rad AI Continuity is our patient follow-up coordination platform, identifying actionable findings in radiology reports and closing the loop between radiology and downstream care. - Rad AI Orchestration is our emerging platform layer for workflow, interoperability, and intelligent routing across the imaging stack—connecting modalities, PACS, AI partners, and downstream systems into a single, coherent operating fabric. Orchestration is one of the most important strategic bets at Rad AI. It is the connective tissue that turns point AI capabilities into a true imaging platform—and it sits at the center of how health systems will buy, deploy, and scale AI in radiology over the next decade. We now need a senior leader to take it from concept to a credible, market-ready product and business. HERE’S WHAT YOU’LL BE DOING: You will operate as the product and business owner of Orchestration within Rad AI. You own the vision, the roadmap, the commercial strategy, and the day-to-day execution that connects them. You’ll design and run a focused, cross-functional team with clear goals, decision rights, and accountability—a senior operator, not a narrow PM. You’ll be deeply embedded with customers, partners, and your team in equal measure. You translate health system and imaging realities into product priorities, turn engineering capacity into shipped capability, and make sure each launch lands as a real commercial moment—not just a release. You’ll work closely with the CPO, CEO, and broader executive team, but you won’t wait for permission to act. In particular, you will: - Own Orchestration end-to-end – lead strategy from concept through launch and commercialization, and be accountable for adoption, revenue, and platform impact. - Define the platform narrative – articulate how Orchestration fits into the broader Rad AI platform and the market story we tell customers, partners, and investors. - Translate market needs into execution – turn customer and ecosystem signals into clear product priorities, execution plans, and launch milestones. - Drive cross-functional alignment – connect product, engineering, sales, partnerships, implementations, and leadership into a single, coherent motion. - Build the commercial strategy alongside the product strategy – pricing and packaging, partner model, design partnerships, market positioning, and rollout plan. - Make the build / partner / buy calls – evaluate options across orchestration-related capabilities and decide where we build, where we partner, and where we acquire. - Hit high-stakes timelines – own delivery against major industry moments and launch deadlines, and be the central point of accountability for unblocking teams. - Prioritize the highest-value bets – identify the most important opportunities across workflow, interoperability, routing, and adjacent platform capabilities, and say no to the rest. - Operate like a founder – step into whatever role the moment calls for—contracts, partner negotiations, customer escalations, technical tradeoffs—while keeping your eyes on the long-term build. YOU’RE THE RIGHT PERSON FOR THIS ROLE IF: - You have a commercial mindset: you think beyond feature delivery and understand how products create revenue, strategic leverage, and long-term platform value. You can connect product decisions to adoption, pricing, partnerships, and market position. - You have deep industry experience in radiology, imaging, PACS, workflow, interoperability, DICOM, routing, or adjacent enterprise imaging infrastructure—and a strong understanding of how hospital and radiology buying decisions actually get made. - You have led major product or platform initiatives before, likely as a Head of Product, GM, or senior product leader in a relevant healthcare or imaging company. - You can operate with autonomy, influence executives,