Edge AI Product Owner Medical Devices / AI /Remote/

Job Description: Edge AI Product Owner – Medical Devices & AI Experience Level: 5–8 Years Department: Product, Data and AI Engineering About the Role: We are seeking a visionary and technically adept Edge AI Product Owner to lead the development and lifecycle management of cutting-edge Edge AI solutions in the MedTech domain. This role requires a deep understanding of medical device compliance, AI technologies, and product strategy to deliver impactful and regulatory-compliant solutions. Key Responsibilities:

• Define and drive the product vision, roadmap, and strategy for Edge AI-enabled medical devices.
• Collaborate with cross-functional teams including engineering, clinical, regulatory, and quality to ensure product alignment and compliance.
• Oversee the development and integration of computer vision and video-based AI algorithms into edge devices.
• Ensure adherence to SaMD classification, regulatory frameworks (e.g., FDA, MDR), and quality processes.
• Lead verification and validation planning and execution for Edge AI products.
• Gather and prioritize customer and stakeholder requirements to inform product decisions.
• Communicate product goals, progress, and risks effectively to internal and external stakeholders.
• Support test data validation and performance evaluation of AI models deployed on edge devices. Required Qualifications:
• Bachelor’s or Master’s degree in Engineering, Computer Science, Biomedical Engineering, or related field.
• 5–8 years of experience in product management or ownership, preferably in medical devices or healthcare technology.
• Strong understanding of Edge AI systems, including device architecture, model deployment, and performance optimization.
• Experience with computer vision and video-based AI technologies.
• Familiarity with SaMD regulations, ISO 13485, IEC 62304, and related standards.
• Proven track record in managing regulated software products through the full product lifecycle.
• Excellent verbal and written communication skills.
• Experience with agile methodologies and product management tools. Preferred Skills:
• Experience with surgical AI applications and edge device integration.
• Knowledge of risk management processes (ISO 14971, 510).
• Familiarity with cloud platforms (AWS, Azure) and CI/CD pipelines.
• Understanding of data privacy and cybersecurity standards in healthcare.

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