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Senior Product Manager, Ultrasound AI

πŸ“… Aug 27
Product StrategyProduct ManagementUltrasound AIMachine Learning
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πŸ“œ Description

  • Shape product strategy and execution for in-market ultrasound AI products and new opportunities.
  • Work with clinicians to understand workflows, clinical needs, and customer problems.
  • Prioritize what to build, defer, or stop using evidence and judgment.
  • Lead discovery, validation, cross-functional delivery, launch, and outcome measurement for new products.
  • Translate clinical and product problems into actionable work and model performance metrics with machine learning engineers.
  • Partner with sales, marketing, quality assurance, and regulatory teams on customer conversations and go-to-market execution.

πŸ› οΈ Requirements

  • Bachelor's degree or equivalent practical experience.
  • 5+ years as a product manager, product engineer, designer leading product decisions and execution, or founder leading product.
  • Track record of shipping software products end to end and measuring post-launch outcomes.
  • Evidence-based product judgment, including forming and testing hypotheses when evidence is incomplete.
  • Working knowledge of machine learning and asymmetric error costs.
  • Experience in user research, cross-functional delivery, and commercial or customer-facing work.
  • Clear communication, high autonomy, and effective asynchronous collaboration across time zones.
  • Preferred: hands-on fluency with AI tools, software engineering or design contribution experience, or regulated-industry or medical-domain product experience.
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.

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