Sr. Product Mgr Ultrasound AI

RadNet, Inc. · Bakersfield, California, United States

$140K to $185K a year as published by the employer

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Summary

Shape and deliver Ultrasound AI products with clinicians and engineers, scaling existing products and leading discovery for new ones.

About this role

# Sr. Product Mgr Ultrasound AI

* Artificial Intelligence * 21775 * 4500 Morning Drive Suite 204, Bakersfield, California, US, 93306 * Full-Time * Remote * USD $140,000.00/Yr. * USD $185,000.00/Yr.

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## Job Description

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.

PLEASE NOTE: **Work Schedule:** This role follows a typical 9-hour workday and requires flexibility to work later Pacific Time hours to maintain overlap with our Melbourne-based team. Typical hours are 10:00 AM–7:00 PM PT from April to October and 8:00 AM-5:00 PM PT from March to November (1 hour allotted for lunch). This provides approximately **2–4 hours of overlap with Melbourne mornings**, depending on daylight-saving time.

## Job requirements

* 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.

*PLEASE NOTE: This is not an exhaustive list of all duties, responsibilities and requirements of the position described above. Other functions may be assigned and management retains the right to add or change duties at any time.*

**Minimum Qualifications, Education and Experience**

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

**Quality Standards**

* Communicates, cooperates, and consistently functions professionally and harmoniously with all levels of supervision, co-workers, visitors, and vendors. * Demonstrates initiative, personal awareness, professionalism and integrity, and exercises confidentiality in all areas of performance. * Follows all local, regional and country laws concerning employment. * Follows all DeepHealth policies and procedures. * Follows data privacy, compliance, safety and confidentiality standards at all times. * Practices universal safety precautions. * Promotes good public relations on the phone and in person. * Adapts and is willing to learn new tasks, methods, and systems. * Reports to work regularly as scheduled; consistently punctual with respect to working hours, meal and rest breaks, and maintains satisfactory personal attendance in accordance with DeepHealth guidelines. * Completes job responsibilities in a quality and timely manner.

**Travel**

This position requires domestic and international travel up to 10%.

**Working Environment**

Remote

“The employee must be able to perform the essential duties and responsibilities of the position, with or without reasonable accommodation.”

We are a Equal Employment Opportunity employer. Our policy is to provide equal employment opportunities to all applicants and employees without regard to race, religion, creed, color, national origin, citizenship, ancestry, physical or mental disability, legally protected medical condition (cancer-related or genetic characteristics or any genetic information), marital status, sex, gender, sexual orientation, gender identity, gender expression, pregnancy, age, military and/or veteran status or any other basis protected by applicable law. If you need a reasonable accommodation for any part of the employment process (including the application, any testing, or interview process), please contact us by email at Talent Acquisition Department and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. We encourage all qualified individuals to apply for employment. We consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, California Fair Chance Act, and the New York City Fair Chance Act, where applicable. The salary of the candidate selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty, location, and training. Any listed pay scale is not a guarantee of a particular wage.

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About RadNet, Inc.

RadNet, Inc. is the largest U.S. provider of freestanding outpatient diagnostic imaging services and offers AI-driven solutions under the DeepHealth brand.

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