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Senior Client Success Partner- Care Gap & Coding Automation

Qventus·US·USA·senior
ml
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On this journey for over 12 years, Qventus is leading the transformation of healthcare. We enable hospitals to focus on what matters most: patient care. Our innovative solutions harness the power of machine learning, generative AI, and behavioral science to deliver exceptional outcomes and empower care teams to anticipate and resolve issues before they arise. Our success in rapid scale across the globe is backed by some of the world's leading investors. At Qventus, you will have the opportunity to work with an exceptional, mission-driven team across the globe, and the ability to directly impact the lives of patients. We’re inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations. #LI-MB1 About the Role Care Gap & Coding Automation (CGCA) is Qventus’ newest product line — a generative AI solution that helps health systems close documentation and coding gaps that drive material quality and financial outcomes. Our first condition in the market is malnutrition, with additional conditions on the near-term roadmap. CGCA is in an early and pivotal stage of its product lifecycle. We have a beta product live at a number of partner sites and are iterating quickly toward a confirmed, sellable scope. Each implementation directly shapes the product, the playbook, and the commercial model — including a free 2-month pilot structure that converts to a paid contract on the strength of demonstrated outcomes. As a Client Success Partner on the CGCA team, you will sit inside Product and act as the face of CGCA to our earliest clients. You will own the end-to-end client experience during the pilot and early production phases — managing the implementation, building deep relationships with clinical leaders and frontline dietitians, ensuring pilots convert, and feeding learnings directly back into product strategy. You will also play a defining role in productizing what we learn: building the implementation playbook and

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