RadNet

Senior Product Manager, Ultrasound AI

RadNet$135K — $160K *
Healthcare
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 8+ years as a product manager, engineer, or designer with product decision-making.
  • Proven track record of shipping successful software products with measurable outcomes.
  • Experience making evidence-based product decisions and testing hypotheses.
  • Knowledge of machine learning and understanding of asymmetric error costs.
  • Strong user research skills and experience in cross-functional delivery.
  • Ability to communicate effectively and collaborate asynchronously across time zones.

Responsibilities

  • Contribute to strategy and execution for scaling ultrasound AI products.
  • Work with clinicians to identify real clinical needs versus customer requests.
  • Decide on product development priorities based on evidence and trade-offs.
  • Enhance existing products through customer feedback and market insights.
  • Lead discovery and validation processes for new ultrasound opportunities.
  • Build knowledge bases for stakeholders throughout the product lifecycle.
  • Collaborate with teams to translate clinical problems into actionable tasks.

Benefits

  • Remote working environment.
  • Flexible work schedule with some overlap with international team members.
  • Opportunities for professional growth and mentorship.
  • Involvement in high-impact projects influencing healthcare outcomes.
Full 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.
• 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)
• 8+ 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

Physical Demands

This position often requires sitting, standing, walking, bending, twisting, reaching with hands and arms, using hands and fingers, handling, or feeling, speaking, listening, and high-level cognitive thinking. Also, must be able to lift up to 10 pounds occasionally.

About RadNet

RadNet, Inc. is the leading national provider of freestanding, fixed-site diagnostic imaging services in the United States based on the number of locations and annual imaging revenue. RadNet has a network of 332 owned and/or operated outpatient imaging centers. RadNet's core markets include California, Maryland, Delaware, New Jersey, New York and Rhode Island. In addition, RadNet provides radiology information technology solutions, teleradiology professional services and other related products and services to customers in the diagnostic imaging industry. Together with affiliated radiologists, and inclusive of full-time and per diem employees and technicians, RadNet has a total of approximately 8,000 employees.
Learn more about RadNet
Size
6,756 employees
Market Cap
$1.1 billion
Industry
Net Income
-$14.8 million
Founded
1984
5 Year Trend
+8.3%
Revenue
$1 billion
NASDAQ

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