Edge AI Product Owner – Medical Devices & AI

San Jose, CA - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Job Title: Edge AI Product Owner Medical Devices & AI
Experience Level: 5 8 Years
Location: San Jose CA
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:

Bachelors or Masters 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).
Familiarity with cloud platforms (AWS Azure) and CI/CD pipelines.
Understanding of data privacy and cybersecurity standards in healthcare.

Job Title: Edge AI Product Owner Medical Devices & AI Experience Level: 5 8 Years Location: San Jose CA 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 cutt...

Job Title: Edge AI Product Owner Medical Devices & AI
Experience Level: 5 8 Years
Location: San Jose CA
Department: Product Data and AI Engineering

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:

Bachelors or Masters 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: