Senior Product Manager, Ultrasound AI

🕒 il y a 1 mois

🏄 California – Distant

🏄 California – Remote

💵 $140 000 - $185 000 / an

⏰ Temps Plein

🟠 Senior

✅ Responsable Produit

👻 Score fantôme 39%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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DeepHealth

Site WebLinkedInTous les Emplois

11 - 50 employés

🏥 Santé

💼 Conseil

📦 Logistique

💰 €225 000 Grant en 2019-08

Healthcare • Consulting • Logistics

DeepHealth est un leader mondial dans le domaine de l'informatique de santé alimentée par l'intelligence artificielle, offrant des solutions innovantes conçues pour améliorer l'efficacité opérationnelle et la confiance clinique en radiologie. En tant que filiale à part entière de RadNet, Inc. , DeepHealth propose une suite complète d'outils de diagnostic et d'imagerie, y compris le système d'exploitation DeepHealth OS, un système d'exploitation natif du cloud novateur. Leurs solutions alimentées par l'IA soutiennent des programmes de diagnostic à grande échelle et optimisent les flux de travail dans des domaines tels que la détection des cancers du sein, de la prostate, des poumons et du cerveau. DeepHealth collabore avec des institutions de santé de premier plan dans le monde entier pour transformer les pratiques en radiologie et améliorer la prestation des soins.

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.

🎯 Exigences

• 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.

🏖️ Avantages

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