Senior Product Manager - Neurology
2 дн. назад
180k–220k USD / годСШАSeniorRemote
regulatory clearanceclinical workflowsai imagingproduct strategyrequirements engineering
Lead product vision and execution for neurology-focused clinical AI solutions in healthcare.
О компании
- is the trusted leader in deep clinical AI, helping hospitals deliver faster, more informed care through intelligent imaging and integrated workflows. The Rapid Enterprise™ Platform supports disease states across the care spectrum, but it’s our clinical depth that drives the most meaningful impact — improving decision-making, patient outcomes, and health-system performance. Used by more than 2,500 hospitals in over 100 countries and backed by 700+ clinical studies, including research that helped expand national stroke-treatment guidelines, is the most clinically validated AI platform in healthcare. As Senior Product Manager for Neurology, you will own the vision, strategy, and execution across 's comprehensive neurology and brain disease portfolio. While stroke remains our flagship foundation, this role spearheads the strategic expansion of our platform across the full neuro care continuum—including traumatic brain injury (TBI/trauma, e.g., the Cambridge portfolio), neurodegenerative disorders, brain tumors (neuro-oncology), and cutting-edge third-party integrations for lesion detection. You will define what clinical AI solutions we build and why, author the rigorous requirements engineering builds from, and guide clinical AI modules from ideation through regulatory clearance and hospital deployment. You will be the clinical and product authority at the intersection of AI imaging algorithms, clinical workflows, and partner integrations, ensuring our soft
Требования
- Required Qualifications: · Product Management Experience: 7+ years of software product management experience, with a proven track record of shipping clinical, digital health, or SaaS products relied upon by professionals in demanding workflows. · Education: Bachelor's degree in Biomedical Engineering, Computer Science, Neuroscience, Life Sciences, or related technical/health field (or equivalent professional experience). · Neurology & Brain Imaging Acumen: Demonstrated experience or deep domain fluency in neurovascular or neurological diseases (stroke, traumatic brain injury, tumors, or neurodegeneration) and familiarity with neuroimaging modalities (CT, CTA, CTP, MRI). · AI Built into Daily Work: Demonstrated practice of incorporating AI tools into everyday workflows—for requirement drafting, research synthesis, prototyping, and rapid analysis—with a sharp eye for quality and verification. · Rigorous Requirement Writing: Proven ability to author precise, testable user stories and engineering specifications that account for complex clinical edge cases, error states, and data schemas. · Partner & Integration Fluency: Experience scoping, evaluating, and launching partner integrations, 3rd-party algorithms, or platform APIs with clean interoperability standards. · Clear, Persuasive Communication: Exceptional ability to articulate complex technical and clinical decisions clearly in writing and speaking to clinicians, data scientists, engineers, and executive leaders. Preferred Qu
Другое
- Position Duties and Responsibilities: · Expand the Neurology Vision & Roadmap: Drive the comprehensive product strategy for AI-enabled brain disease management. Lead the expansion beyond acute ischemic and hemorrhagic stroke into traumatic brain injury (TBI/trauma), brain tumors, neurodegenerative conditions (e.g., Alzheimer's, dementia), and multi-modality lesion detection. Conduct market and product fit analysis and competitive analysis as well as building the overall business case to drive portfolio growth and prioritization. · Lead 3rd-Party Algorithm & Lesion Detection Integrations: Define integration architectures and product standards to seamlessly ingest, validate, and display third-party AI models for brain lesion identification, quantitative volumetrics, and specialized neuro-pathologies within the unified Rapid Enterprise Platform. · Prototype Before You Specify: Rapidly build and evaluate working prototypes using modern AI design and coding tools. Put clinical concepts in front of neurologists, neuroradiologists, and trauma teams within days to bring tangible clinical evidence to engineering commitment decisions. · Write Rigorous, Build-Ready Specifications: Author detailed epics, user stories, quantitative acceptance criteria, error states, and risk controls. As medical device software (SaMD), your requirements serve as design inputs that must be unambiguous, traceable, and verifiable for regulatory and engineering execution. · Know the Clinical Workflow First-Ha