Rad AI
Healthcare AI
ProductManager,Workflows
Neural analysis suggests this role is
optimal for Mid candidates.
“Product Manager, Workflows at Rad AI. Skills: Roadmap ownership, Product delivery, Stakeholder coordination, Technical fluency. Own the roadmap and delivery for orchestration platform. Turn high-level product direction into execution”
What You'll Achieve.
Saving time; Reducing burnout; Improving patient care; Uncover hundreds of new cancer diagnoses; Reduced error rates in tens of millions of radiology reports by nearly 50%; Drive efficiency for radiologists; Make a meaningful impact on millions of lives
Industry & Context.
What They're Looking For.
Must Have
Product manager with experience shipping workflow-heavy enterprise software, Operate as a project and product owner, Comfortable driving execution in ambiguous environments with senior stakeholders and tight deadlines, Technical fluency, Can ramp quickly and contribute immediately
Nice to Have
Built or managed an imaging workflow product or similarly operational clinical software, Experience with healthcare imaging, radiology IT, PACS, routing, or adjacent workflows
What You'll Do.
Own the roadmap and delivery for orchestration platform
Turn high-level product direction into execution
Partner closely with engineering to ship
Coordinate across internal stakeholders to drive decisions
Work with product and technical teams
Keep teams focused on what is required to launch
Serve as the operational owner
How You'll Work.
Team & Collaboration
Partner closely with engineering; Coordinate across internal stakeholders; Work with product and technical teams; Earn trust quickly across engineering and leadership
Process & Methodology
Execution plans, Milestones, Sequencing, Tradeoffs
Full Job Description
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! - Rad AI Impressions automatically drafts the impression section of reports in real time. - Rad AI Reporting is a full rad
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