Lead Product Manager, AI Speech

Rad AI•San Francisco, CA

2d•Remote

About The Position

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.

Requirements

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.

Nice To Haves

Experience deploying AI or ML solutions in healthcare or other regulated domains.
Understanding of generative AI models and their application to real-world workflows.
Previous product ownership across multi-tenant or enterprise-scale platforms.

Responsibilities

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.