Lead Product Manager, Impressions

About the Opportunity:

The organization develops AI-driven solutions for radiology, focusing on reducing workload, improving accuracy, and transforming healthcare delivery. The Lead Product Manager for generative AI-powered radiology impressions will own the strategy, roadmap, and execution for next-generation impression automation and AI solutions.

Responsibilities:

• Own the product roadmap for generative AI impressions from ideation through launch and ongoing improvement

• Collaborate with machine learning, data science, and engineering teams to convert model improvements into workflow benefits

• Optimize accuracy, stability, and efficiency of AI-generated impressions across subspecialties and modalities

• Design human-in-the-loop review workflows to maximize radiologist trust and efficiency

• Define and measure metrics such as time saved, accuracy, adoption, radiologist satisfaction, and performance stability

• Conduct customer and radiologist discovery to understand workflow variations and reporting style needs

• Work with implementation and customer success teams to ensure successful rollouts and monitor real-world performance

• Ensure compliance with privacy, security, clinical safety, and regulatory standards

Requirements:

• 10+ years of experience, including 5+ years in product management and 3+ years leading AI/ML products in production

• Experience shipping complex products in enterprise or workflow-focused environments

• Strong understanding of machine learning evaluation, feedback loops, and continuous improvement

• Ability to translate technical complexity into customer-facing value

• Collaborative across engineering, machine learning, design, clinical, and go-to-market teams

• Motivated by solving clinician workflow and patient care challenges

It’s a Plus If You Have:

• Experience in healthcare technology, radiology, medical imaging, or regulated environments

• Familiarity with generative AI, large language models, or multimodal modeling

• Experience with production ML monitoring, retraining, or ML Ops systems

• Experience with multi-tenant or large enterprise SaaS platforms

Benefits & Perks:

• Comprehensive medical, dental, vision, and life insurance

• HSA (with employer match), FSA, and DCFSA

• 401(k)

• 11 paid company holidays

• Remote-first company with location flexibility

• Flexible PTO policy

• Annual company-wide offsite

• Periodic team offsites

• Annual equipment stipend

Note:

“RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.”