Job Description Summary

• Relevant clinical medicine background and software product experience to define clinical product marketing strategy and sync to plan the roadmap for medical imaging digital software platform.
• Stand at the intersection of clinical and digital solutions, leveraging medical foundation models, intelligent agent technology, and platform design to unlock device potential and address core customer pain points across clinical care, hospital operations, clinical research, and data asset management.
• Collaborate deeply with R&D, device, and commercial teams to translate advanced imaging capabilities into deployable intelligent agent-based software solutions.
• A high-visibility clinical product leadership role — requiring bridge medicine and technology effectively, with clinical value as the core driver for continuous innovation and scaled deployment.

GE HealthCare is a leading global medical technology and digital solutions innovator. Our purpose is to create a world where healthcare has no limits. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.

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Job Description

Key Responsibilities

1. Medical Intelligent Agent Product Design

• Design platform-level intelligent agent software platform architecture for medical scenarios, defining capability boundaries, interaction paradigms, multi-agent collaboration mechanisms, and clinical safety guardrails

• Evaluate & execute the productization of medical foundation models — including medical LLMs, multimodal imaging foundation models, and medical knowledge graphs — across core use cases such as assisted diagnosis, clinical decision support, report generation, and research assistance

• Define acceptance criteria for AI features across four dimensions: clinical accuracy, usability, explainability, and workflow integration

• Sustain a robust funnel of AI use case opportunities; partner cross-functionally to identify, assess, and prioritize opportunities, ensuring disciplined investment and maximum ROI

• Ensure Responsible AI principles are embedded throughout the product lifecycle — including fairness, transparency, privacy protection, and clinical safety

2. Customer Insights & Solutions

• Immerse in frontline clinical environments to identify efficiency bottlenecks in diagnostic workflows, understand data needs and collaboration patterns in clinical research, and unlock the data value inherent in our device ecosystem

• Systematically capture Voice of Customer (VoC) through clinical site visits, user interviews, and observational research, translating insights into prioritized product requirements

 

3. Clinical Innovation Roadmap for Product Strategy

• Utilize abundant clinical product skills to offer key opinions for definite long-term vision and strategic plan for the software portfolio, ensuring alignment with business objectives and a clearly differentiated competitive strategy

• Own the multi-year clinical product roadmap experiences, balancing near-term delivery with long-term platform investments, and ensuring disciplined prioritization that maximizes return on innovation

• Conduct ongoing market, competitor, and technology landscape analysis — including regulatory trend assessment (NMPA, FDA, EU MDR) — to identify growth opportunities

4. Team Leadership & Cross-Functional Collaboration

• Lead the product team (Product Managers, Product Designers), fostering a culture of customer obsession, clinical rigor, and engineering excellence

• Collaborate with cross-functional teams — software engineering, hardware engineering, clinical science, regulatory affairs, UX design, and commercial — in a matrixed environment to drive end-to-end product delivery

• Partner closely with R&D teams using agile development methodologies to manage product iterations and ensure high-quality, predictable delivery cadence

• Maintain constant communication — upward, downward, and across functions — ensuring alignment, transparency, and momentum

Qualifications

Must Have

• Background in a medical-related field, with complementary education or work experience in computer science or information technology

• 8+ years of medical software product design, R&D, and management experience, including 2+ years in team leadership; Master's degree preferred

• Proven track record of successfully designing and launching medical imaging AI or clinical AI software products — from concept to commercialization

• Extensive experience collaborating closely with software engineers and algorithm engineers, with a solid understanding of technical implementation

• Strong proficiency in agile development methodologies; experience with product development in a regulated medical device environment

• Hands-on experience with Class II and Class III medical device software registration and compliance processes (NMPA / FDA), including ISO 13485 and 21 CFR 820 QSR

• Familiarity with DICOM, IHE, HL7, FHIR and other healthcare information standards and integration specifications

• Fluent in English, with the ability to collaborate effectively with global teams and stakeholders

Core Competencies

• Product Strategy Acumen: Ability to formulate clear product strategy grounded in industry trends, customer value, and competitive dynamics — and translate it into actionable product architecture design and strategic roadmaps

• Medical-Technical Bilingualism: Fluency in both clinical/medical terminology and software/AI technology concepts — enabling effective translation and collaboration between clinical stakeholders and engineering teams

• Medical AI Productization: Deep understanding of medical foundation model productization (medical LLMs, multimodal imaging foundation models)

• Clinical Insight: Deep understanding of clinical workflows; ability to identify real user needs from clinical scenarios and design product solutions centered on clinical value

• Medical Data Acumen: Familiarity with hospital data asset system building — including medical data governance, data standardization, data quality management, data asset catalogs, and data security compliance (MLPS, Data Security Law, PIPL) — with the ability to design data-driven product solutions

• Cross-Functional Leadership: Proven ability to lead and align cross-functional teams in a matrixed environment toward shared goals.

Inclusion and Diversity

GE HealthCare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity.

 

Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support.