Senior Product Manager, Ultrasound AI

Job not on LinkedIn

🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $140k - $185k / year

⏰ Full Time

🟠 Senior

✅ Product Manager

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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DeepHealth

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

💰 $225k Grant on 2019-08

Healthcare • Consulting • Logistics

DeepHealth is a global leader in AI-powered health informatics, providing innovative solutions designed to enhance operational efficiency and clinical confidence in radiology. As a wholly-owned subsidiary of RadNet, Inc. , DeepHealth offers a comprehensive suite of diagnostic and imaging tools, including the DeepHealth OS, a pioneering cloud-native operating system. Their AI-powered solutions support large-scale diagnostic programs and streamline workflows in areas such as breast, prostate, lung, and brain cancer detection. DeepHealth collaborates with leading healthcare institutions worldwide to transform radiology practices and improve care delivery.

📋 Description

• Shape and deliver Ultrasound AI products with clinicians, machine learning engineers, software engineers, and product designers. • Scale in-market thyroid and breast ultrasound AI products from hundreds of thousands of patients served annually toward millions. • Run discovery and development for new ultrasound AI products. • Turn clinical, customer, commercial, and AI model performance insights into clear priorities. • Contribute to product strategy and execution across in-market scaling products and new products. • Understand clinical workflows and distinguish stated customer requests from actual problems and clinical needs. • Decide what to build, defer, or stop using 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 through launch and outcomes. • Build a knowledge base for stakeholders across the product lifecycle. • Own the what and why behind product decisions and partner with engineering and design on the how. • Communicate decisions across distributed teams through high-quality asynchronous documentation. • Translate clinical and product problems into actionable work with machine learning engineers. • Help set model performance metrics reflecting customer product value and make trade-offs across accuracy, sensitivity, specificity, error types, 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 within medical-device and regulatory constraints. • Build relationships across engineering, design, clinical, regulatory, and commercial teams; mentor others on product practices and decision quality.

🎯 Requirements

• 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) • Must follow data privacy, compliance, safety and confidentiality standards. • Must be able to lift up to 10 pounds occasionally.

🏖️ Benefits

• Remote work arrangement • Domestic and international travel up to 10%