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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI/ML product management, including defining AI strategy, managing model lifecycles, and ensuring compliance within healthcare and regulated domains. Proven ability to lead cross-functional teams and communicate effectively with diverse stakeholders.
Highest-signal resume keywords
AI/ML Product ManagementModel Lifecycle ManagementHealthcare Domain ExpertiseQuality Management Systems (QMS)Roadmap Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Strategy DefinitionModel EvaluationGovernance and MonitoringData IntelligenceProduct Development LifecycleSuccess Metrics DefinitionTurnaround-Time ReductionStakeholder Feedback IncorporationFeature DeliveryProblem Statement Definition
Soft Skills
Clear CommunicationTeam LeadershipCollaboration
Tools & Technologies
Quality Management Systems (QMS)AI Model Registry
Industry Keywords
HealthcareMedical ImagingClinical WorkflowRegulated DomainMarketplace Products
About the role
Key responsibilities & impact- Define and maintain the AI vision and roadmap across the Merge portfolio
- Determine where AI appears in the data layer, workflow, and reading experience
- Distinguish workflow and data intelligence built by Merge from pixel AI supplied through the partner marketplace
- Take high-priority AI capabilities from discovery through launch with radiologists and cardiologists
- Own the model registry, governance, and monitoring tied to the quality system
- Reduce time-to-add-a-model from quarters to weeks
- Turn portfolio-level AI strategy into a sequenced, evidence-backed roadmap
- Define problem statements and success metrics for AI-assisted reads, turnaround-time reduction, and governed models
- Lead an empowered, single-threaded team through the AI-native product development lifecycle
- Represent Merge’s AI direction with customers, clinical advisors, analysts, and internal leadership
- Incorporate stakeholder feedback into the roadmap
Requirements
What you’ll need- 8+ years in product management, including senior ownership of AI/ML-powered products shipped to production at scale
- Track record of setting strategy and delivering, including owning a roadmap and carrying hard features across the finish line
- Fluency in applied AI/ML product decisions: model lifecycle, evaluation, governance, monitoring, and trade-offs of putting models in front of expert users
- Experience partnering with engineering and design in an empowered-team operating model
- Clear, plain communication for clinicians, executives, and engineers
- Background in healthcare, medical imaging, clinical workflow, or another regulated domain
- Experience with platform, marketplace, or partner-ecosystem products
- Familiarity with quality management systems (QMS) and regulated software development
Benefits
Comp & perks- Remote first / work from home culture
- Flexible vacation to help you rest, recharge, and connect with loved ones
- Paid leave benefits
- Health, dental, and vision insurance
- 401k retirement savings plan
- Infertility benefits
- Tuition reimbursement
- Life insurance
- EAP