Job Description: Edge AI Product Owner Medical Devices & AI
Experience Level: 5 8 Years
Location: San Jose
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
f
ield.
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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