Senior Product Manager

🕒 October 22, 2025

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Quadrivia AI

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

☁️ SaaS

🤝 B2B

Artificial Intelligence • SaaS • B2B

Quadrivia AI is a healthcare-focused AI company that builds “Qu,” a clinician-facing AI assistant designed to support clinical workflows across providers, payors, pharma and startups. Qu performs tasks such as history-taking, hypothesis generation, investigation recommendations, treatment planning, monitoring, care coordination, and consultation summarization; it maintains a personal health record, is designed for EHR and wearable integration (future capabilities), and emphasizes clinical safety, human-in-the-loop oversight, regulatory compliance, and customizable deployment. The platform is delivered as a cloud-based, customizable product to help clinicians and healthcare organizations scale patient outreach, follow-up, and routine clinical tasks while preserving clinician control and clinical accuracy.

📋 Description

• Define and drive the roadmap for one or more Qu product capabilities. • Collaborate closely with clinicians and regulatory experts to ensure all features meet safety, privacy (GDPR/HIPAA), and MDR/FDA medical device standards. Previous work with ISO13485 and ISO14971 is a plus. • Use data and experimentation to improve key product metrics — adoption, engagement, and quality scores (precision/recall, OSCE pass rates, etc.). • Translate complex clinical and technical concepts into clear product requirements and user stories. • Partner with engineering and AI teams to scope features that balance innovation with safety and compliance. • Champion user needs — both clinicians and enterprise customers — to prioritize features that deliver measurable value.

🎯 Requirements

• 5+ years of product management experience, including 2+ years in the healthcare or healthtech sector. • Proven success launching and scaling B2B SaaS or enterprise products in a startup or high-growth environment. • Experience leading cross-functional teams and working with clinicians, data scientists, and engineers. • Evidence of improving key metrics such as product adoption, retention, or clinical performance. • Excellent communication and stakeholder management skills. • Comfortable navigating ambiguity and making data-informed trade-offs under pressure. • Experience with AI-driven products (LLMs, cognitive architectures, or clinical decision support systems).

🏖️ Benefits

• The opportunity to shape the future of AI in healthcare, working on one of the most impactful problems of our time. • A global, multidisciplinary team of clinicians, AI scientists, and technologists. • Competitive compensation • A culture that values curiosity, rigor, and impact over hierarchy.