
Artificial Intelligence • Healthcare Insurance • SaaS
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.
August 15

Artificial Intelligence • Healthcare Insurance • SaaS
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.
• Integral part of the product team; works closely with the science, customer success, service, and software development teams to deliver the product vision and business case. • Discovers and documents tighter with product team customer and user goals, workflows, business and clinical challenges and opportunities, and links these back our value proposition. • Establishing go-to-market strategy • Deliver Product Requirements Documents (PRDs) with prioritized features and corresponding justification • Act as Liaison with R&D for optimization of delivery of underline technical enabler or shared features • Work in close collaboration with the Service and Customer Success teams within Deephealth and Radnet to determine requirements, needs and provide operational context, high-level specifications and participates in design work. • Engages in agile development activities: scrums, design, planning and estimation sessions, workshops, and stakeholder development demonstrations • Work with external third parties to assess partnerships and licensing opportunities • Support validates offer/design assumptions with internal and external stakeholders • Works well in a cross-functional team and various stakeholders • Contributes to the end-to-end launch and deployments of DeepHealth products. • Requires up to 10-15% travel for work.
• 3+ years of experience in Healthcare, Medical Imaging/radiology preferred • Bachelor’s Degree or higher in (healthcare) informatics (or similar) required • Solid Product Management experience in building and launching informatics solutions in healthcare • Established knowledge of clinical and operational workflow • Proven experience in product deployments and services in healthcare • Product mindset, being able to balance technical knowledge and (medical/healthcare) business acumen. • Able to make and articulate trade-offs between features requests necessary for prioritization. • Customer first mindset. • Proactive, decisive, self-starter with excellent project management skills and ability to manage multiple tasks effectively. • Excellent communication skills with the ability to engage, influence, and inspire partners and stakeholders to drive collaboration and alignment - great team player. • High degree of organization, individual initiative, and personal accountability. • Preference; Background in launching software or services in partnership with engineering teams and high degree of proficiency in prototyping, iterative development, understanding of Agile principles. • Work authorization.
• Join a dynamic team with expertise in various fields. • Collaborative and agile work environment. • Continuous learning opportunities to enhance your professional skills. • A remote working environment with flexibility in work hours. • A salary in line with job level and experience.
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