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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.
Job Responsibility
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
Requirements
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
Nice to have
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