Clinical Product Specialist

Clinical Product Specialist (SmarterNotes)

The Clinical Product Specialist (CPS) sits at the intersection of clinical medicine, AI, and product development, playing a critical role in building SmarterDx’s clinical documentation capabilities. As part of a highly cross-functional team spanning Product, Engineering, and Data Science, the CPS translates real-world physician workflows into scalable AI systems—shaping how clinical reasoning is represented, evaluated, and deployed in practice.

This role has a direct impact on product quality and clinical trust. The CPS defines and enforces the standard for clinical accuracy, safety, and usability, ensuring that what we build works for real clinicians in real care settings. For candidates interested in applying clinical expertise beyond the bedside, this is an opportunity to influence how AI supports documentation, decision-making, and ultimately patient care at scale.

**This role is fully remote within the US**

• →Collaborate with Product and Data Science to build and refine prompts, pipelines, and model behavior
• →Review AI-generated outputs (summaries, notes, insights) for accuracy, completeness, and clinical defensibility
• →Define and operationalize clinical quality standards for models outputs
• →Drive iteration loops between evaluation and model improvement to continuously raise quality
• →Apply clinical judgment in ambiguous scenarios where documentation quality, trajectory, and context matter
• →Partner cross-functionally to ship quickly while maintaining a high bar for clinical rigor
• →Assist with designing and translating physician workflows into structured AI tasks, system logic, and product requirements
• →Serve as the clinical subject matter expert for physician documentation, charting workflows, and end-to-end care delivery processes

• MD or DO (or equivalent advanced clinical degree)
• Clinical background with experience in inpatient or acute care settings
• Strong understanding of clinical documentation and EHR workflows
• Demonstrated ability to translate clinical thinking into structured systems, logic, or processes
• Builder mindset with comfort working on ambiguous, evolving products
• Strong analytical thinking with attention to edge cases and failure modes
• Ability to collaborate effectively with Product, Engineering, and Data Science teams

• Familiarity with AI/ML systems or prompt engineering (preferred)
• Background in clinical informatics, quality improvement, or workflow design 
• Experience working with Product, Engineering, or Data Science teams
• Experience building or scaling systems (e.g., evaluation frameworks, workflows, or tools) 
• Previous advising or consulting experience with healthcare technology companies