Senior Clinical Product Manager

GE HealthCare

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

Posted 10/15/2026full-timeBeijing • ChinaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and managing medical software products, with a strong focus on AI integration, regulatory compliance, and collaboration across multidisciplinary teams. Proven ability to translate clinical insights into actionable product strategies while adhering to industry standards and best practices.

Highest-signal resume keywords

Medical Software Product DesignAI Feature Acceptance CriteriaAgile Development MethodologiesRegulatory Compliance (NMPA / FDA)Team Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Medical Imaging AIClinical AI SoftwareProduct DevelopmentTechnical ImplementationData Quality ManagementData Security ComplianceISO 1348521 CFR 820 QSRDICOMHL7

Soft Skills

CollaborationCommunicationCustomer Insight TranslationStrategic PlanningProblem Solving

Tools & Technologies

Medical Knowledge GraphsMultimodal Imaging Foundation ModelsVoice of Customer ResearchClinical Workflow AnalysisProduct Roadmap Management

Certifications & Qualifications

Master's Degree Preferred

Industry Keywords

Clinical SafetyResponsible AI PrinciplesHealthcare Information StandardsData GovernanceProductization

About the role

Key responsibilities & impact

Design platform-level intelligent agent software architecture for medical scenarios, including capability boundaries, interaction paradigms, multi-agent collaboration mechanisms, and clinical safety guardrails
Evaluate and execute productization of medical foundation models, including medical LLMs, multimodal imaging foundation models, and medical knowledge graphs
Define AI feature acceptance criteria covering clinical accuracy, usability, explainability, and workflow integration
Identify, assess, and prioritize AI use cases to maximize ROI
Embed Responsible AI principles throughout the product lifecycle, including fairness, transparency, privacy protection, and clinical safety
Identify clinical workflow bottlenecks, research data needs, collaboration patterns, and device ecosystem data value
Capture Voice of Customer through clinical site visits, user interviews, and observational research
Translate customer insights into prioritized product requirements
Define long-term vision and strategic plans for the software portfolio
Own the multi-year clinical product roadmap and balance near-term delivery with long-term platform investments
Analyze market, competitors, technology landscapes, and regulatory trends including NMPA, FDA, and EU MDR
Lead Product Managers and Product Designers
Collaborate with software engineering, hardware engineering, clinical science, regulatory affairs, UX design, and commercial teams
Partner with R&D teams using agile methodologies to manage product iterations and predictable delivery
Maintain communication across functions and organizational levels

Requirements

What you’ll need

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
2+ years in team leadership
Proven track record designing and launching medical imaging AI or clinical AI software products from concept to commercialization
Extensive experience collaborating with software engineers and algorithm engineers, with 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)
Knowledge of 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 ability to collaborate effectively with global teams and stakeholders
Familiarity with medical data governance, data standardization, data quality management, data asset catalogs, and data security compliance (MLPS, Data Security Law, PIPL)
Master's degree preferred

Benefits

Comp & perks

Total rewards package
Salary and benefits
Career opportunities
Culture that fosters care, collaboration and support