Lead Product Manager, Rad AI

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field
• 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-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
• 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
• If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you!

Desirable

• As a Lead Product Manager for AI Speech, you will define, steer, and execute the strategy, development, and launch of Rad AI’s most advanced, AI-driven Speech features
• Your team will use 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 speech 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
• Own the product roadmap for AI-driven speech 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 end-to-end productization of AI Speech-to-Text, 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 speech 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
• 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