Shapes SaaS product strategy by turning customer insights and data into high-impact opportunities, guiding cross-functional teams from discovery through delivery, and owning product outcomes.
Senior Product Manager, Ultrasound AI
π 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.
π 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 AMβ7:00 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 2β4 hours of overlap with Melbourne mornings, depending on daylight-saving time.
Similar jobs
Search more Product Manager jobsOwn end-to-end product strategy and delivery for business automation and AI applications, translating operational needs into roadmaps and measurable outcomes while partnering with engineering and executive stakeholders.
Senior Product Manager, Attack Surface Intelligence
Leads product strategy and delivery for Attack Surface Intelligence, translating market and customer needs into requirements and solutions from development through launch and go-to-market.
Own the strategy and roadmap for Agiloftβs integrations platform, including its Integration Hub, APIs, MCP capabilities, and orchestration layer, driving scalable connectivity and measurable customer outcomes.
Lead product strategy and delivery for government digital services, partnering with agencies and cross-functional teams to define priorities, ship user-centered products, and measure outcomes for the people they serve.
