Lead Product Manager, Artificial Intelligence

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, and ranked by Deloitte 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 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 Join Us:

As a Lead Product Manager, AI, you’ll lead the strategy, development, and launch of Rad AI’s most advanced, AI-driven features—those that harness our proprietary datasets, deep learning models, and generative AI systems to drive measurable improvements in radiologist productivity and patient outcomes.

You’ll work closely with machine learning engineers, data scientists, product managers, designers, and clinical experts to define, ship, and scale AI-powered experiences that reach thousands of clinicians daily. This is a high-impact role where product strategy meets deep technical understanding of AI systems, user trust, and real-world clinical deployment at scale.

What You’Ll Be Doing:

• Own the product roadmap for AI-driven features and experiences, from ideation through launch and iteration.
• Collaborate with ML and data science teams to translate model capabilities into intuitive, high-value user workflows.
• Drive AI productization—including model evaluation, performance monitoring, safety, and explainability frameworks for clinical environments.
• Partner with engineering and design to create user experiences that build trust in AI outputs and integrate seamlessly into radiology workflows.
• Define and track key success metrics, including accuracy, latency, adoption, and user satisfaction.
• Work with customers and radiologists directly to understand clinical pain points and validate product hypotheses.
• Contribute to company-wide AI strategy, helping shape how Rad AI leverages large-scale data and generative AI models across our product lines.
• Collaborate cross-functionally with regulatory, privacy, and security teams to ensure AI systems meet healthcare compliance and safety standards.

Who You Are:

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field.
• 10+ years of product management experience, including 3+ years leading AI/ML or data-driven products in production environments.
• Proven success building and launching AI-powered features at scale, ideally within enterprise SaaS or healthcare technology.
• Strong understanding of machine learning lifecycles, model evaluation, and human-in-the-loop systems.
• Excellent communicator who can translate complex AI concepts into clear product strategy and user value.
• Highly collaborative and comfortable working with ML, data, and engineering teams as well as clinicians and business stakeholders.
• Customer-obsessed—you’re driven by solving real clinical problems and improving human performance through intelligent systems.
• Thrives in a fast-paced, high-growth environment with evolving priorities.

It’s a Plus If You Also Have:

• Experience deploying AI or ML solutions in healthcare or other regulated domains.
• Understanding of generative AI models (LLMs, multimodal systems) and their application to real-world workflows.
• Experience managing AI performance monitoring or MLOps systems in production.
• Previous product ownership across multi-tenant or enterprise-scale platforms.

Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care—making a meaningful impact on millions of lives. Driven by our mission,  we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you!

To learn more about what it's like to work at Rad AI, visit https://www.radai.com/life-at-rad-ai

For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:

• Comprehensive Medical, Dental, Vision & Life insurance
• HSA (with employer match), FSA, & DCFSA 

• 401(K)

• 11 Paid Company Holidays
• Location Flexibility (Remote-first company!)

• Flexible Pto Policy

• Annual Company-Wide Offsite

• Periodic Team Offsites

• Annual Equipment Stipend

• For roles based outside the US, your recruiter can share more details

At Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com or no-reply@ashbyhq.com.