Every day, millions of hospitalized patients who need intervention are missed because clinicians simply can't see everything. HealthLeap is building the AI operating system that helps care teams identify these missed patients, enabling them to improve health outcomes and generate millions of dollars. HealthLeap is changing what is possible: closing gaps that traditional workflows and clinician capacity could never.
Over the past year, we've grown contracted revenue more than 13x, expanded rapidly across leading health systems, and now help care teams identify patients across millions of inpatient encounters.
We're ~25 people. >$32M raised. SF-based, hybrid-friendly. And, we're delivering results that are changing lives.
Why this roleYou've spent years learning what good care looks like at the bedside, and you've seen how much depends on the right information reaching the right person in time. This role lets you put that judgment to work across entire health systems.
You'll be the clinician on our team who makes Healthleap fit real practice: earning the trust of clinical leaders and frontline users, shaping how our product is introduced into daily work, and bringing what you learn straight back to the founders, product, and engineering. You'll see your influence show up in how care is delivered, and in the product itself, within months rather than years.
What you'll doServe as the clinical partner to health system leaders and frontline teams, building trust from the executive suite to the unit
Lead the clinical side of implementations, from planning through go-live and sustained daily use
Design and deliver training that builds confidence and lasting behavior change
Stay close to the people using Healthleap: understand their day, find where things get in the way, and fix them
Help clinical teams measure the impact of their work and build on it
Bring frontline and clinical leadership insight into product decisions, and help launch and validate new capabilities
Be the voice of the clinician inside Healthleap, and represent Healthleap with clinicians at conferences, site visits, and across the industry
Help define how our clinical model scales as we expand to new conditions and new health systems
Significant clinical experience (typically 6+ years) as an NP, PA, RN, or in a closely related clinical role, with a strong grounding in inpatient care
Experience leading change in a clinical setting, whether formally (implementation, education, quality, informatics) or informally (the person your unit turned to when a new workflow or system arrived)
Comfort using data to find opportunities and show impact
Thrive with ownership and ambiguity in a fast-moving, early-stage company
Curious about AI and eager to learn, ideally already using it in your own work
Willing to travel regularly for site visits, shadowing, training, and conferences
If you're a clinician who's excited by the mission and brings most of what's above, we'd like to hear from you, even if your path doesn't match every line.
If you're passionate about applying frontier AI to real-world impact, join us in building healthcare's future.
Skills Required
- Significant clinical experience, typically six or more years, as a nurse practitioner, physician assistant, registered nurse, or closely related clinical professional
- Strong grounding in inpatient care
- Experience leading change in a clinical setting through implementation, education, quality, informatics, or comparable informal leadership
- Comfort using data to identify opportunities and demonstrate impact
- Ability to take ownership and operate effectively in ambiguity at an early-stage company
- Curiosity about artificial intelligence and eagerness to learn
- Existing use of artificial intelligence in professional work
- Willingness to travel regularly for site visits, shadowing, training, and conferences
What We Do
HealthLeap is an AI-driven clinical decision support platform designed to improve patient outcomes and hospital margins. It serves as an AI screening 'safety net' for hospitalized patients, primarily focusing on daily malnutrition screening to identify high-risk inpatients earlier than manual tools. By surfacing patients who need care, it enables timely clinician intervention, reduces hospital readmission rates, and improves billing accuracy for hospitals.
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