Job Description

Edge AI Product Owner – Medical Devices & AIExperience Level: 5–8 YearsDepartment: Product, Data and AI EngineeringAbout 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.