Head of Clinical Development, Pulse

Set clinical validation standards for new features, workflows, interventions, and AI-supported experiences before and after launch.

Bring the clinical lens to feature assessment alongside Product, calibrating the level of clinical rigor to the actual risk of each feature so the team can move quickly with confidence.

Provide clinical expertise in the scoping and refinement of PRDs.

Review and clinically interpret member and clinician feedback, maintaining a tight loop back to roadmap and program decisions.

Monitor and interpret clinical outcomes to identify drivers of improvement, decline, or variation, and direct program, protocol, product, workflow, or training changes in response.

Surface clinical constraints early, flagging where a solution will be clinically wrong or difficult before development begins, so the team solves the right problem instead of building the wrong thing well.

Help define the intended clinical role, therapeutic boundaries, and prohibited behaviors of Pulse's AI-supported experiences.

Work with Product and AI on both the prompting layer (guidelines, guardrails) and the harness layer (knowledge base, escalations).

Co-develop the clinical components of evaluation rubrics, acceptance criteria, release thresholds, and annotation requirements.

Define the clinical content needed for annotator training, including example annotations.

Clinically interpret annotator feedback and help determine, with AI and Product, whether training, evaluation criteria, prompts, guardrails, or product behavior need to change.

Contribute to post-launch clinical monitoring, interpret findings with Product and AI, and help determine what action to take.

Represent Pulse's clinical perspective on relevant internal AI monitoring and governance boards.

Licensed clinician (MD, DO, NP, RD, or PharmD) with 8+ years of clinical experience, including at least 3 years in a clinical leadership role within digital health, health-tech, or value-based care.

Deep expertise in cardiometabolic conditions: hypertension, pre-diabetes and diabetes, obesity, and GLP-1 therapeutics.

Experience owning a clinical outcomes framework, including defining metrics, evidence standards, and how outcomes translate into commercial value.

A track record of being the external clinical voice for a product: comfortable in front of CMOs, health plan medical directors, and clinical audiences at conferences and in due-diligence processes.

Experience partnering directly with product and engineering teams to translate clinical requirements into features, workflows, and AI behavior, not just reviewing what others build.

Comfort defining clinical guardrails and evaluation criteria for AI-supported or AI-driven care experiences.

Strong writing and narrative skills. You will personally author whitepapers, talk tracks, and clinical claims language that holds up under scrutiny.

Comfort with ambiguity and building a function's clinical infrastructure from a limited starting point.

Third-party clinical partnerships, including protocol definition and clinical service agreements.

Direct experience with AI-supported or AI-native care delivery, including prompt design, guardrails, or evaluation rubrics for clinical AI systems.

Familiarity with cardiometabolic prescribing protocols, titration, and medication management in a digital health setting.

Experience with outcomes-based or value-based contracting models and how clinical evidence supports pricing.

Prior experience at a high-growth digital health company navigating rapid scaling and shifting priorities.