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Senior Product Manager (AI Clinical Tools)
Sprinter Health · United States
About The Role
Join Sprinter Health as a Senior Product Manager, AI Clinical Tools. In this role, you will lead the development of AI-driven clinical tools to enhance patient access to healthcare services. You will work closely with our Chief Scientist and internal AI research lab to refine our proprietary models and support our front-line clinicians. This position offers the opportunity for significant impact and growth within the company.
- Ownership of the vision, strategy, and roadmap for automation across Sprinter Health’s technology and operations stack, increasing patient access and operational efficiency.
- Leading the full stack AI product development, from foundation model translation to agentic flow orchestration to point of care decision support to monitoring and evaluation.
- Engaging with a broad range of stakeholders from patients and front-line Sprinters to cross-functional and leadership team members to executive sponsors at partner clients.
- The ideal candidate will be comfortable at the strategic level (owning multi-year vision + roadmap), energized by having hands-on optimization levers across some of the most important drivers of patient impact and business performance
- Experimentation DNA: Track record of robust experimentation and data-driven product development at the 1-to-n scale
- Operational mindset: Ability to understand and optimize workflows across complex clinical workflows while balancing tech-enablement, patient impact, and clinician satisfaction
- Culture carrier: Preferred development and growth path is by ambitiously setting vision, prioritizing, and driving impact as a team with a true north centered on patient impact. Ability to thrive in a fast-paced environment and scrub-in across team needs, even when they sit outside of your role description or job title
- Proven track record: 5+ years of product management experience, with a strong background in AI-driven product development or clinical tooling
- AI-native experience and deep intellectual curiosity: Experience deploying AI products, automation, or machine learning-driven solutions in healthcare, logistics, or operations-heavy environments
- Startup experience, especially those that have gone through rapid growth
- AI side projects
- A favorite Lord of the Rings character
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