Senior Product Manager – Neurology

RapidAI

. Own the vision, strategy, and execution across RapidAI's comprehensive neurology and brain disease portfolio .

Posted 11/5/2026full-timeRemote • United StatesSenior💰 $180,000 - $220,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in software product management within the clinical and digital health sectors, with a strong focus on neurovascular and neurological diseases. Proficient in integrating AI tools into workflows and authoring precise user stories and engineering specifications.

Highest-signal resume keywords

Software Product ManagementNeurovascular Disease ExpertiseAI Integration in WorkflowsClinical Validation and EvaluationUser Story and Specification Authoring

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Clinical Product DevelopmentPrototypingIntegration ArchitectureQuantitative VolumetricsUser Story AuthoringRisk ManagementModel Evaluation BenchmarksError Mitigation StrategiesClinical Evaluation ReportsNeuroimaging Modalities

Soft Skills

Exceptional Communication SkillsCollaborationProblem-Solving

Tools & Technologies

AI Design ToolsDICOMPACS/RISHL7FHIR

Certifications & Qualifications

FDA 510(k) SubmissionCE-MDRISO 13485IEC 62304ISO 14971IEC 62366

Industry Keywords

Digital HealthSoftware as a Medical DeviceNeuroscienceTraumatic Brain InjuryNeurodegenerationClinical TrialsNeuroradiologyEmergency Medicine

About the role

Key responsibilities & impact

Own the vision, strategy, and execution across RapidAI's comprehensive neurology and brain disease portfolio
Expand the platform beyond acute ischemic and hemorrhagic stroke into traumatic brain injury, brain tumors, neurodegenerative conditions, and multi-modality lesion detection
Conduct market and product fit analysis, competitive analysis, and build business cases for portfolio growth and prioritization
Define integration architectures and product standards for third-party AI models for brain lesion identification, quantitative volumetrics, and specialized neuro-pathologies
Rapidly build and evaluate working prototypes using modern AI design and coding tools
Put clinical concepts in front of neurologists, neuroradiologists, and trauma teams to inform engineering commitment decisions
Author detailed epics, user stories, quantitative acceptance criteria, error states, and risk controls
Immerse regularly in the workflows of neuro-interventionalists, vascular neurologists, trauma surgeons, emergency physicians, and neuroradiologists
Translate complex clinical pain points into high-impact problem statements
Collaborate with Clinical Affairs, Regulatory, and Quality teams within the design-control process
Champion risk management, clinical validation, and clinical evaluation reports
Define model evaluation benchmarks, sensitivity/specificity profiles, and error mitigation strategies
Design safe, resilient UX patterns for potential false positives and false negatives
Partner with Design, AI Science, Engineering, Medical Affairs, and Commercial Product Marketing to drive global clinical adoption

Requirements

What you’ll need

7+ years of software product management experience
Proven track record of shipping clinical, digital health, or SaaS products relied upon by professionals in demanding workflows
Bachelor's degree in Biomedical Engineering, Computer Science, Neuroscience, Life Sciences, or related technical/health field (or equivalent professional experience)
Demonstrated experience or deep domain fluency in neurovascular or neurological diseases, including stroke, traumatic brain injury, tumors, or neurodegeneration
Familiarity with neuroimaging modalities: CT, CTA, CTP, and MRI
Demonstrated practice of incorporating AI tools into everyday workflows for requirement drafting, research synthesis, prototyping, and rapid analysis
Proven ability to author precise, testable user stories and engineering specifications accounting for complex clinical edge cases, error states, and data schemas
Experience scoping, evaluating, and launching partner integrations, third-party algorithms, or platform APIs with clean interoperability standards
Exceptional written and verbal communication skills for explaining complex technical and clinical decisions to clinicians, data scientists, engineers, and executive leaders
Preferred: Direct experience shipping Software as a Medical Device (SaMD), FDA 510(k) or De Novo submissions, CE-MDR, and working within ISO 13485, IEC 62304, ISO 14971, and IEC 62366 design control standards
Preferred: Hands-on experience shipping computer vision/deep learning models for lesion segmentation, volumetric assessment, or computer-aided detection
Preferred: Prior clinical training, clinical research, or clinical trial background in neurology, neuroradiology, neurosurgery, or emergency medicine
Preferred: Working knowledge of DICOM, PACS/RIS, HL7, FHIR, and HIPAA compliance
Preferred: Experience collaborating with premier academic medical centers or global research consortia

Benefits

Comp & perks

Equity
Comprehensive benefits package