Senior Engineering Manager

Rad AI
San FranciscoPosted 10 June 2025

Job Description

Senior Engineering Manager 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! Why We Need You The products we build are used every day by radiologists making critical decisions with diagnoses that determine what care patients receive next. That’s not a context where “good enough” ships. We’re looking for a Senior Engineering Manager who can hold that standard while also scaling a team that keeps pace with Rad AI’s growth. Someone who has lived through the full lifecycle of production software from the architectural decision that aged well to the one that didn’t and who brings that hard-won judgment to every conversation with their engineers. This isn’t a coordination role. You’ll shape technical direction, develop the engineers around you, and drive outcomes on one of our core products. The team you build here will define how clinicians experience AI for years to come. Here’s What You’ll Be Doing You’ll lead one of our core product engineering teams where you’ll: - Own end-to-end execution on your team’s roadmap from planning, prioritization, delivery, rollout, and iteration across one or more core products. - Raise the technical bar by guiding architecture and design decisions, ensuring your team builds observable, maintainable systems that meet healthcare-grade reliability standards. - Partner cross-functionally with Product, Implementations, Design, Clinical, Customer Success, and GTM counterparts to translate customer problems into clear, actionable engineering work. - Drive continuous improvement across planning, estimation, code review, incident response, on-call, and documentation while evolving team processes and pushing the limits of AI to unlock new levels of efficiency and quality. - Use data and metrics to drive decisions, defining and tracking the right leading indicators for reliability, performance, and delivery health. - Hire exceptional engineers, develop the talent already on your team, and foster a culture of psychological safety, ownership, and continuous learning. Who We’re Looking For - 6–8+ years of experience managing software engineers with a proven track record leading teams that ship and o ... (truncated, view full listing at source)
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