Senior Product Manager - Neurology (AI)

Location: United States — Remote, with periodic clinical site visits and team offsites. Candidates must be currently authorized to work in the United States without restriction; visa sponsorship is not available.

Salary: $180,000–$220,000 per year

Company

hirify.global develops clinically validated AI software for medical imaging, disease management, and integrated hospital workflows, supporting more than 2,500 hospitals in over 100 countries.

What you will do

• Own the vision, strategy, roadmap, and business case for the neurology and brain disease portfolio beyond stroke, including traumatic brain injury, brain tumors, neurodegenerative conditions, and lesion detection.
• Define standards and architectures for integrating third-party AI algorithms, quantitative volumetrics, and specialized neuro-pathology models into the Rapid Enterprise Platform.
• Build and evaluate rapid AI-assisted prototypes with neurologists, neuroradiologists, trauma teams, and other clinical users before engineering commitment decisions.
• Write traceable, testable product requirements covering epics, user stories, acceptance criteria, error states, data schemas, and risk controls.
• Lead regulated Software as a Medical Device delivery with Clinical Affairs, Regulatory, Quality, Design, Engineering, Medical Affairs, and Commercial Product Marketing.
• Define model evaluation benchmarks, sensitivity and specificity targets, error mitigation strategies, and safe UX patterns for false positives and negatives.

Requirements

• 7+ years of software product management experience, including shipping clinical, digital health, or SaaS products used by professionals in demanding workflows.
• Bachelor's degree in Biomedical Engineering, Computer Science, Neuroscience, Life Sciences, or a related technical or 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, and familiarity with CT, CTA, CTP, and MRI.
• Regular use of AI tools for requirements drafting, research synthesis, prototyping, and rapid analysis, with strong quality and verification practices.
• Ability to write precise, testable user stories and engineering specifications covering clinical edge cases, error states, and data schemas.
• Experience scoping, evaluating, and launching partner integrations, third-party algorithms, or platform APIs using clean interoperability standards.
• Exceptional written and verbal communication with clinicians, data scientists, engineers, and executive leaders.
• Ability to work within clinical validation, risk management, and design-control processes for medical software.

Nice to have

• Experience shipping Software as a Medical Device or working with FDA 510(k), De Novo, CE-MDR, ISO 13485, IEC 62304, ISO 14971, and IEC 62366.
• Hands-on experience shipping computer vision or deep learning models for lesion segmentation, volumetric assessment, or computer-aided detection.
• Clinical training, clinical research, or clinical trial experience in neurology, neuroradiology, neurosurgery, or emergency medicine.
• Working knowledge of DICOM, PACS/RIS, HL7, FHIR, and HIPAA compliance.
• Experience collaborating with academic medical centers or global research consortia.

Culture & Benefits

• Remote work arrangement with periodic clinical site visits and team offsites.
• AI-first product development using prototyping before specification and AI tools across discovery, requirements engineering, and workflow validation.
• Work focused on clinically validated software, patient safety, clinical efficacy, and measurable impact on healthcare delivery.
• Inclusive and diverse workplace with equal employment opportunities and protection from discrimination and harassment.