Senior Product Manager
About The Position
We’re hiring an experienced, technically-grounded Senior Product Manager to lead the evolution of our clinical intelligence platform. In this role, you will be the bridge between our breakthrough LLM research and the high-stakes reality of clinical environments. You will own the product lifecycle for features that turn messy, unstructured clinical notes into high-fidelity data, ensuring our AI provides immediate, reliable value to clinicians through guidance and action. You’ll join our product team as a critical early hire, with a massive opportunity to shape the company's direction and culture alongside our founding team.
Requirements
- 7+ years of Product Management experience, preferably in high-growth enterprise software or health-tech.
- AI/ML Native: You have a proven track record of building and deploying AI-powered products. You understand the nuances of LLMs and the difference between a prototype and a production-grade system.
- Healthcare Fluency: Deep experience with clinical workflows. You understand the complexities of medical charting, and the administrative burden facing providers today.
- Systems Thinker: You have experience with healthcare data systems and understand the hurdles of data interoperability and integration (EHRs, claims, or clinical data warehouses).
- Early-Stage Mindset: You are comfortable with ambiguity, move fast, and are willing to "roll up your sleeves" to do whatever is needed to ship.
Responsibilities
- Define the AI UX: Partner with design and engineering to shape how healthcare professionals interact with AI, ensuring complex LLM outputs are intuitive and actionable.
- Master Clinical Workflows: Spend time with clinicians and nurses to deeply understand their "day in the life," identifying friction points where Layer Health’s clinical intelligence platform can save hours of manual effort.
- Navigate Data Integration: Lead the strategy for how our products integrate with the existing healthcare stack, including EHRs (Epic, Cerner), HL7/FHIR standards, and clinical data pipelines.
- Ship Production AI: Move beyond the "pilot" phase to oversee the deployment of AI products into production environments where 99% accuracy isn't just a goal—it’s a requirement.
- Build Feedback Loops: Establish rigorous frameworks for model evaluation, using real-world clinician feedback to iterate on prompt engineering and model fine-tuning.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
