Lead Product Manager, Impressions

November 12

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Rad AI

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Manufacturing • Hardware • Engineering

Rad AI is a company that specializes in custom manufacturing and processing solutions, particularly in the fabrication of components such as casters and material handling devices. They offer a range of products including adjustable casters and OEM parts designed for various industrial applications. Based in Somerset, Michigan, Rad AI is committed to high-quality engineering and manufacturing services.

51 - 200 employees

Founded 2018

🔧 Hardware

💰 $25M Series A on 2021-11

📋 Description

• Own the product roadmap for Rad AI Impressions from ideation through launch and continuous improvement • Collaborate with ML research, data science, and engineering teams to convert model improvements into meaningful workflow benefits • Optimize accuracy, stability, and efficiency of AI-generated impressions across subspecialties and modalities • Design human-in-the-loop review workflows that maximize radiologist trust and efficiency • Define and measure success metrics such as time saved per read, accuracy, adoption, radiologist satisfaction, and performance stability • Conduct deep customer and radiologist discovery to understand workflow variation and reporting style needs • Work with implementation and customer success to support 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 product management experience, including 3+ years leading AI/ML products in production • Proven experience shipping complex products in enterprise or workflow-heavy environments • Strong understanding of ML evaluation, feedback loops, and continuous improvement • Excellent communicator who can translate high technical complexity into customer-facing value • Highly collaborative across engineering, ML, design, clinical, and go-to-market teams • Deeply motivated by solving real-world clinician workflow and patient care challenges • Experience in healthcare technology, radiology, medical imaging, or regulated environments is a plus • Familiarity with generative AI / LLMs / multimodal modeling is a plus • Experience with production ML monitoring, retraining, or ML Ops systems is a plus • Prior product ownership of multi-tenant or large enterprise SaaS platforms is a plus

🏖️ Benefits

• 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