Director, AI-Enabled MedTech Products

Edwards Lifesciences

Charlotte Amalie (United States Virgin Islands)

On-site

USD 232,000 - 329,000

Full time

3 days ago
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Job summary

Edwards Lifesciences in California seeks an experienced Product Manager to lead AI-enabled software initiatives for structural heart technology. You will own the product requirements, roadmap, and lifecycle across therapy and workflow opportunities.

The role requires shipping AI/ML products under design controls, defining business cases, collaborating with regulatory teams, and measuring adoption with analytics tools.

Qualifications

  • Bachelor's degree in a related field plus extensive PM experience in regulated software/health tech.
  • Track record shipping AI-enabled products with real adoption across discovery to lifecycle.
  • Experience delivering software under design controls (ISO 13485, IEC 62304) and managing AI/ML product lifecycles.

Responsibilities

  • Define intended use and claims for AI-enabled features, and own product requirements, roadmap, and lifecycle.
  • Define AI-enabled product portfolio strategy and investment sequence across therapy/workflow.
  • Build and defend the business case and commercial model for AI-enabled features.
  • Validate product-market fit with clinicians, customers, and partners before scaling.
  • Own adoption, analytics, user feedback, and value realization post-launch.
  • Evaluate ecosystem, licensing, and partnerships to drive differentiated value.
  • Partner with Clinical & Evidence AI on workflow features; manage the shipped product while ensuring clinical correctness of guidance.

Skills

AI product management
Regulated software
Cross-functional leadership
Product analytics

Education

Bachelor's degree in related field
Master's degree (preferred)

Tools

Jira
Aha!
Productboard
Amplitude
Pendo

Job description

Edwards Lifesciences in California seeks an experienced Product Manager to lead AI-enabled software initiatives for structural heart technology. You will own the product requirements, roadmap, and lifecycle across therapy and workflow opportunities.

The role requires shipping AI/ML products under design controls, defining business cases, collaborating with regulatory teams, and measuring adoption with analytics tools.

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