Technical Product Owner, AI/ML

Technical Product Owner, AI/ML

Innovation starts from the heart. At Edwards Lifesciences, we’re dedicated to developing ground-breaking technologies with a genuine impact on patients’ lives. Our commitment to innovation is supported by our investment in cutting-edge information technology, which enables our diverse teams to optimize both efficiency and success.

Responsibilities

• Provide senior technical product leadership across a product capability or portfolio spanning complex technical products and systems (e.g., software platforms and hardware-enabled solutions)
• Define product vision, operating standards, and governance to enable scalable delivery across products and pods
• Align senior stakeholders on priorities and partner with engineering and architecture leaders to drive execution
• Guide prioritization and integration of AI/ML use cases into scalable, production-ready product capabilities
• Ensure measurable delivery, adoption, and value for data-enabled and intelligent products (e.g., analytics, automation, AI/ML-enabled capabilities)
• Partner closely with business stakeholders, data scientists, AI engineers, and platform teams to shape product strategy
• Define product requirements and evaluate value, feasibility, and ROI for AI/ML initiatives
• Deliver high-quality AI products on time through strong program execution and cross-functional coordination
• Apply deep technical product thinking and fluency to drive scalable, impactful solutions
• Act as the primary AI Engineering liaison for multiple business functions
• Communicate AI capabilities, constraints, and trade-offs clearly to stakeholders
• Conduct value proposition, feasibility, and ROI assessments
• Lead requirements gathering workshops with stakeholders
• Facilitate business process mapping and future-state design
• Own and manage the product backlog aligned to business objectives
• Ensure alignment with governance, security, and responsible AI standards across products and platforms
• Partner with Lead Engineers to ensure technical soundness
• Develop PRDs, functional and non-functional requirements
• Contribute to system design and architectural discussions
• Validate technical designs for scalability, reliability, and maintainability
• Stay current with AI, cloud, and engineering best practices
• Drive end-to-end delivery from ideation to launch
• Create and manage program and project plans
• Coordinate across engineering, data science, and platform teams
• Track risks, dependencies, and delivery status
• Support product adoption and post-launch evaluation

Requirements

• Bachelor’s or Master’s degree in Computer Science or related field with 8 years in software engineering, technical product, or program roles
• Experience delivering AI, data, or platform-based products

Preferred

• Deep technical fluency, strong product thinking, and program execution excellence
• Strong software engineering and system design fundamentals
• Understanding of AI/ML workflows, model lifecycle, and deployment considerations
• Leverage experience with APIs, microservices, and cloud-native architectures
• Effective communication across business and technical domains to drive alignment
• Collaborating with business stakeholders, data scientists, AI engineers, and platform teams to shape strategy, define requirements, evaluate value and ROI, and deliver high-quality AI products on time
• Experience with AI/ML platforms, MLOps, or generative AI solutions
• Familiarity with Agile, Scrum, or SAFe frameworks

Benefits

We offer competitive salaries, performance-based incentives, and a wide variety of benefits programs to address the diverse individual needs of our employees and their families. For California, the base pay range for this position is $121,000 to $171,000 (highly experienced).