Lead Product Manager, AI

About Rad AI

At Rad AI were on a mission to transform healthcare with artificial intelligence. Founded by a radiologist our AI-driven solutions are revolutionizing radiologysaving 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 othersall 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 CNBCs Disruptor 50 list highlighting the innovation and momentum behind our mission.

If youre ready to shape the future of healthcare wed love to have you on our team!

Why Join Us:

As a Lead Product Manager AI you will define steer and execute the strategy development and launch of Rad AIs core AI-powered product capabilities. Your work will span speech recognition report creation and impression generation. You will partner with the Research team to use proprietary datasets deep learning models and generative AI systems to drive measurable improvements in radiologist productivity and patient outcomes.

Youll work closely with machine learning engineers data scientists product managers designers and clinical experts to define ship and scale AI 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 Youll Be Doing:

• Own the product roadmap for AI-driven product capabilitiesincluding speech impressions and reportingfrom ideation through launch and iteration.

• Collaborate with ML and data science teams to translate model capabilities into intuitive high-value user workflows.

• Drive end-to-end productization of AI capabilities including model evaluation performance monitoring safety and explainability frameworks for clinical environments.

• Partner with engineering and design to create human-centric user experiences that build trust in AI-generated 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.

• Shape company-wide AI strategy defining 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:

• Bachelors degree in Computer Science Engineering Data Science or equivalent practical experience.

• 7 years of product management experience including 2 years leading AI/ML or data-driven products in production environments.

• Proven success building and launching AI features at scale.

• Strong understanding of machine learning lifecycles model evaluation and human-in-the-loop systems.

• Exceptional communicator who can translate complex AI concepts into clear product strategy technical requirements and compelling user value for both technical and business audiences.

• Highly collaborative and comfortable working with ML data and engineering teams as well as clinicians and business stakeholders.

• Customer-obsessed and driven by solving real clinical problems and improving human performance through intelligent systems.

• Thrives in a fast-paced high-growth environment with evolving priorities.

Its a Plus If You Also Have:

• Experience working at a startup.

• Understanding of generative AI models LLM-based agents and retrieval-augmented generation (RAG) and their application to real-world workflows.

• 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 caremaking 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 youre passionate about driving innovation and delivering impactful healthcare solutions wed love to hear from you!

To learn more about what its like to work at Rad AI visit and be sure to follow us on LinkedIn to stay up to date!

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

• 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 @ or

Required Experience:

IC