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! Rad AI is on a mission to make radiologists' lives better and patient care smarter. Our AI-powered software helps radiology groups work more efficiently, communicate more clearly, and deliver more consistent, higher-quality reports. We're a team of people who care deeply about what we build and about the clinicians and patients whose lives depend on it. We'd love to have you join us. WHY WE NEED YOU A radiology report is the moment the entire diagnostic process culminates. It's where a radiologist's expertise becomes actionable insight for the ordering physician, for the care team, for the patient. At Rad AI, our Reporting product is the heart of what we do. It's where our AI meets the real world. The engineering team behind that product doesn't just ship features, they shape what radiologists experience every single day. When that experience is excellent, we earn trust, and trust is everything in healthcare. When it falls short, it's not just a bug or a missed deadline; it's a radiologist losing faith in AI at the exact moment they needed it most. That's why we need you. You're the person who holds the standard and ensures that the team building our most important product is doing the best work of their careers. Your leadership is what turns a group of talented engineers into a cohesive force that ships software radiologists love. Without someone exceptional in this role, we can't build the Reporting product our customers deserve. And without that product, Rad AI doesn't win. HERE'S WHAT YOU'LL BE DOING You'll lead the engineering team responsible for our Reporting product — the flagship of Rad AI's platform. That means owning the technical strategy for the product, partnering closely with Product and Design to shape the roadmap, and making sure your team has everything they need to build, ship, and iterate with confidence. You'll be equally at home diving into an architectural decision and coaching an engineering manager through a hard conversation. This is a leadership role, but you're not removed from the work; you're in it. You'll set the technical bar, model the culture you want to see, and be the person your team looks to when things are hard and the stakes are high. In addition, you'll: - Build and lead a team of engineers and engineering managers, hiring exceptional people and developing them into their best selves. - Own the technical architecture of our Reporting product, making consequential decisions about scalability, reliability, and long-term maintainability. - Partner with Product, Design, and Clinical teams to translate complex customer needs into elegant, impactful engineering solutions. - Drive a culture of technical excellence by setting high standards for code quality, system design, and engineering practices without letting perfection be the enemy of shipping. - Serve as a key voice in company-wide engineering strategy, representing the Reporting team at the leadership level. WHO WE'RE LOOKING FOR - You have 10+ years of software engineering experience and at least 5 years leading engineering teams, including direct experience managing other managers. - You've shipped and scaled a complex software product end-to-end, and you can point to specific decisions you made that were critical to its success. - You've built and grown high-performing engineering teams; people you've managed have gone on to do great things, and they'd work with you again. - You have deep experience with data-intensive applications, including reporting, analytics, or data visualization products. IT WOULD BE NICE IF - You've worked in a healthcare technology or other regulated industry environment and understand the unique challenges that come with it. - You have hands-on experience with AI or ML-powered products, and you're excited about what that means for the future of clinical software. - You've led engineering at a high-growth startup and thrived in the ambiguity that comes with it. Join our world-class team as we build and deploy AI solutions that empower physicians and transform