Senior Product Manager, Ultrasound AI

DeepHealth•San Diego, CA

20h•Remote

About The Position

This role shapes and delivers Ultrasound AI products with clinicians, machine learning engineers, software engineers, and product designers. It scales in-market thyroid and breast ultrasound AI products, already serving hundreds of thousands of patients a year, toward millions of patients a year, and runs discovery and development for new products. The role turns clinical, customer, commercial, and AI model performance insights into clear priorities and helps the team execute. It operates with high autonomy, allocates attention across multiple products at different levels of maturity, and influences decisions through evidence and clear framing.

Requirements

Bachelor's degree or equivalent practical experience.
5+ years as a product manager, product engineer, designer who led product decisions and execution, or founder leading product.
Track record of shipping successful software products end to end, with demonstrated measurable post-launch outcomes.
Product judgment and experience making evidence-based decisions, including forming and testing hypotheses when evidence is incomplete.
Working knowledge of machine learning, including an understanding of asymmetric error costs (for example, the cost of a false positive versus a false negative).
User research, cross-functional delivery, and commercial or customer-facing capability.
High autonomy, clear communication, and effective asynchronous collaboration across time zones.

Nice To Haves

Hands-on fluency with AI tools such as Claude Code, Codex, ChatGPT Work, or Claude Cowork, with demonstrated successful use cases in the current role.
Software engineering, hands-on coding, or design contribution experience.
Regulated-industry and/or medical-domain product experience.

Responsibilities

Contribute to product strategy and execution across in-market scaling products and new ultrasound AI products.
Work with clinicians to understand clinical workflow, and distinguish stated customer requests from actual problems and clinical need.
Decide what to build, defer, or stop, making trade-offs based on evidence and judgment.
Improve in-market products using customer feedback and market insights.
Own discovery and validation for new ultrasound opportunities, and lead cross-functional delivery from discovery through launch and outcomes.
Build a knowledge base stakeholders can use across the product lifecycle. Own the what and why behind product decisions, partner with engineering and design on the how, and communicate decisions clearly across distributed teams with high-quality asynchronous documentation.
Translate clinical and product problems into actionable work with machine learning engineers, and help set model performance metrics that reflect product value for customers.
Make trade-offs across model performance metrics (accuracy, sensitivity, specificity), error types (false positive versus false negative), workflow, speed, and cost.
Partner with sales and marketing on customer conversations, positioning, and go-to-market execution.
Collaborate with quality assurance and regulatory teams to deliver with speed within medical-device and regulatory constraints.
Build working relationships across engineering, design, clinical, regulatory, and commercial teams.
Influence through evidence and framing, mentor others on product practices and decision quality, and manage attention across multiple products with transparent trade-offs.