Senior Product Manager – Neurology

🕒 il y a 6 jours

🇺🇸 États-Unis – Télétravail

💵 $180 000 - $220 000 / an

⏰ Temps Plein

🟠 Senior

✅ Responsable Produit

👻 Score fantôme 2%

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RapidAI

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51 - 200 employés

🏥 Santé

💼 Conseil

🍽️ Alimentation et boissons

Healthcare • Consulting • Food & Beverage

RapidAI est une entreprise fournissant des logiciels d'aide à la décision clinique alimentés par l'intelligence artificielle, axés sur l'amélioration des résultats pour les patients dans le secteur de la santé, notamment pour des pathologies telles que l'AVC, l'anévrisme et l'embolie pulmonaire. Leur technologie, conçue par des cliniciens, vise à augmenter la rapidité, la précision, l'évolutivité et la sécurité des diagnostics et traitements. RapidAI propose une gamme de produits et de solutions qui aident les hôpitaux et les prestataires de soins de santé à prendre des décisions de triage et de transfert plus rapidement et plus précisément. Avec des solutions qui s'intègrent dans les flux de travail hospitaliers existants, RapidAI améliore les essais cliniques et optimise les soins aux patients ainsi que l'efficacité opérationnelle.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• Equity • Comprehensive benefits package

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