Technical Product Owner, AI/ML

Posted Yesterday
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Irvine, CA, USA
In-Office
121K-171K Annually
Senior level
Healthtech • Pharmaceutical
The Role
Lead AI/ML product strategy and execution: translate business needs into scalable, secure AI-enabled solutions; define product vision and governance; prioritize and manage backlog; partner with engineering, data science, and platform teams; ensure technical soundness, MLOps readiness, and regulatory/responsible AI alignment; drive delivery, adoption, and measurable business value from ideation through launch and post-launch evaluation.
Summary Generated by Built In

Innovation starts from the heart. At Edwards Lifesciences, we’re dedicated to developing ground-breaking technologies with a genuine impact on patients’ lives. At the core of this commitment is our investment in cutting-edge information technology. This supports our innovation and collaboration on a global scale, enabling our diverse teams to optimize both efficiency and success. As part of our IT team, your expertise and commitment will help facilitate our patient-focused mission by developing and enhancing technological solutions.

We're seeking a Technical Product Owner, AI/ML with a strong software engineering and AI systems background to serve as the primary AI Engineering liaison between business and technical teams. This role translates complex business needs into scalable, secure, high-value AI-enabled solutions while ensuring disciplined execution and measurable outcomes.

How you will make an impact:

  • 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

  • Demonstrate understanding of distributed systems and AI/ML workflows

  • 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

What you’ll need (Required):

  • 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.

What Else We Look For (Preferred):

  • Deep technical fluency, strong product thinking, and program execution excellence

  • Demonstrate strong software engineering and system design fundamentals

  • Apply understanding of AI/ML workflows, model lifecycle, and deployment considerations

  • Leverage experience with APIs, microservices, and cloud-native architectures

  • Communicate effectively across business and technical domains to drive alignment

  • Experience 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

  • Experience operating within regulated industries

  • Familiarity with Agile, Scrum, or SAFe frameworks

What Success Looks Like

  • Strong alignment between AI initiatives and business priorities, resulting in measurable value realization

  • Clear, high-quality, and actionable requirements that enable efficient engineering execution

  • Consistent delivery of scalable, high-impact AI products on committed timelines

  • Trusted partnership across business and technical stakeholders

Aligning our overall business objectives with performance, 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).
The pay for the successful candidate will depend on various factors (e.g., qualifications, education, prior experience).  Applications will be accepted while this position is posted on our Careers website. 

Edwards is an Equal Opportunity/Affirmative Action employer including protected Veterans and individuals with disabilities.

COVID Vaccination Requirement

Edwards is committed to protecting our vulnerable patients and the healthcare providers who are treating them. As such, all patient-facing and in-hospital positions require COVID-19 vaccination. If hired into a covered role, as a condition of employment, you will be required to submit proof that you have been vaccinated for COVID-19, unless you request and are granted a medical or religious accommodation for exemption from the vaccination requirement. This vaccination requirement does not apply in locations where it is prohibited by law to impose vaccination.

Skills Required

  • Bachelor's or Master's degree in Computer Science or related field
  • 8 years in software engineering, technical product, or program roles
  • Experience delivering AI, data, or platform-based products
  • Strong software engineering and system design fundamentals
  • Understanding of AI/ML workflows, model lifecycle, and deployment considerations
  • Experience with APIs, microservices, and cloud-native architectures
  • Experience with AI/ML platforms, MLOps, or generative AI solutions
  • Experience operating within regulated industries
  • Familiarity with Agile, Scrum, or SAFe frameworks

Edwards Lifesciences Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Edwards Lifesciences and has not been reviewed or approved by Edwards Lifesciences.

  • Retirement Support Retirement programs include a 401(k) match complemented by a separate profit‑sharing contribution. These elements add meaningful long‑term value to total compensation.
  • Equity Value & Accessibility An employee stock purchase plan with a discount and look‑back feature, alongside stock awards for eligible roles, provides notable upside. Program expansions indicate continued accessibility.
  • Leave & Time Off Breadth Time‑off policies include generous PTO, company holidays, and a year‑end holiday shutdown. These offerings enhance work‑life support when available at the site.

Edwards Lifesciences Insights

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The Company
Draper, Utah
13,687 Employees
Year Founded: 1958

What We Do

Edwards Lifesciences (NYSE: EW), is the global leader in patient-focused medical innovations for structural heart disease, as well as critical care and surgical monitoring. We thrive on discovery and expanding the boundaries of medical technology, serving patients in 100+ countries, with the help of our employees in areas including Clinical Affairs, Quality Engineering, Research & Development, Regulatory Affairs, Sales & Marketing, corporate functions and more. Our roots date back to 1958 when Miles Lowell Edwards, a retired engineer with a background in hydraulics and fuel pump operations, set out to build the first artificial heart. Edwards believed the heart could be mechanized and was encouraged by Dr. Albert Starr to focus on developing an artificial heart valve. After just two years, the first Starr-Edwards mitral valve was developed and successfully placed in a patient. This innovation spawned Edwards Laboratories. Miles’ fascination with healing the heart and helping patients with heart disease stemmed from his own experience with rheumatic fever as a teenager and continues to fuel our patient-first culture today. Today, we are as passionate about providing innovative solutions for people fighting cardiovascular disease as we have ever been. It's our Credo. It takes integrity, collaboration, innovation, and focus. We are leaders in the design and manufacture of tissue replacement heart valves and repair products as well as advanced hemodynamic monitoring. We partner with physicians to innovate products designed to help patients live longer, healthier, and more productive lives. Our work is both rewarding and a privilege. The importance of what we do defines our approach. We work together to create an environment where ideas can flourish and we provide our people with the resources, expertise and support to bring those ideas to life. For our legal terms and trademarks, please visit: https://www.edwards.com/legal/legal-terms

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