Head of Clinical Development, Pulse
jobgether
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Head of Clinical Development, Pulse based in United States.
This is a senior clinical leadership role responsible for shaping clinical outcomes across an AI-powered cardiometabolic care program.
You will guide the clinical strategy for solutions spanning hypertension, pre-diabetes, diabetes, obesity, and GLP-1 support.
The role combines clinical expertise, product development, AI governance, clinical quality, and external thought leadership.
You will work closely with Product, Engineering, Clinical Operations, Go-to-Market, and Clinical Affairs & Research teams to embed clinical rigor throughout the product lifecycle.
A key focus will be ensuring that AI-supported care experiences operate within clearly defined therapeutic boundaries, safety standards, and evidence-based guidelines.
You will also serve as a credible external clinical voice, translating clinical evidence and outcomes into compelling narratives for customers, partners, and industry audiences.
This opportunity is ideal for a clinically experienced leader who thrives in ambiguity, moves quickly, and wants to help define the future of AI-native healthcare.
Accountabilities
- Establish clinical validation standards for new features, workflows, interventions, and AI-supported experiences before and after launch.
- Provide clinical leadership throughout product development, calibrating the level of clinical rigor required based on the risk and impact of each feature.
- Bring clinical expertise to product requirements, feature scoping, and refinement of product requirement documents.
- Analyze member and clinician feedback and translate clinical insights into roadmap, program, protocol, product, workflow, and training improvements.
- Monitor and interpret clinical outcomes to identify drivers of improvement, decline, or variation and recommend appropriate interventions.
- Identify clinical constraints and risks early in development to ensure solutions are clinically appropriate and aligned with intended outcomes.
- Define the intended clinical role, therapeutic boundaries, and prohibited behaviors of AI-supported care experiences.
- Partner with Product and AI teams to establish clinical guidelines, guardrails, knowledge requirements, escalation pathways, and other safety mechanisms.
- Co-develop clinical evaluation rubrics, acceptance criteria, release thresholds, and annotation requirements for AI-driven care experiences.
- Develop clinical content and examples to support annotator training and ensure consistent evaluation of AI behavior.
- Interpret clinical feedback from annotation and evaluation processes and help determine whether prompts, guardrails, training, evaluation criteria, or product behavior should change.
- Contribute to post-launch clinical monitoring, interpret findings, and recommend appropriate corrective or enhancement actions.
- Represent the clinical perspective on relevant internal AI monitoring, clinical quality, and governance boards.
- Serve as an external clinical spokesperson with customers, health plan leaders, clinical audiences, conferences, and due-diligence stakeholders.
- Author clinical materials including whitepapers, talk tracks, evidence narratives, and claims language that can withstand rigorous external scrutiny.
- Build clinical infrastructure, processes, and standards in an environment where priorities evolve rapidly and functions may be established from an early stage.
Requirements
- Licensed clinician with an MD, DO, NP, RD, or PharmD qualification and 8+ years of clinical experience, including at least 3 years in a clinical leadership position within digital health, health-tech, or value-based care.
- Deep clinical expertise across cardiometabolic conditions, including hypertension, pre-diabetes, diabetes, obesity, and GLP-1 therapeutics.
- Demonstrated experience owning a clinical outcomes framework, including defining metrics, evidence standards, and the connection between clinical outcomes and commercial value.
- Proven track record serving as the external clinical voice for a healthcare product, with confidence engaging CMOs, health plan medical directors, clinical audiences, conference participants, and due-diligence stakeholders.
- Direct experience partnering with product and engineering teams to translate clinical requirements into product features, operational workflows, and AI behavior rather than simply reviewing completed solutions.
- Strong understanding of clinical guardrails, evaluation criteria, safety requirements, and governance considerations for AI-supported or AI-driven healthcare experiences.
- Excellent writing, communication, and narrative-building skills, with the ability to personally develop high-quality clinical and commercial materials.
- Strong technical and clinical judgment, with the ability to influence cross-functional decisions and communicate complex clinical concepts clearly.
- Comfortable operating in ambiguous, fast-moving environments and establishing clinical processes, standards, and infrastructure from a limited starting point.
- Demonstrated AI fluency, with practical experience using AI tools to improve individual productivity, develop team workflows, or embed AI into products and processes, depending on experience level.
- Experience developing third-party clinical partnerships, protocols, or clinical service agreements is preferred.
- Direct experience with AI-supported or AI-native care delivery, including prompt design, clinical guardrails, or evaluation frameworks, is highly desirable.
- Familiarity with cardiometabolic prescribing protocols, titration, and medication management in digital health is a plus.
- Experience with outcomes-based or value-based contracting and understanding how clinical evidence supports pricing is beneficial.
- Previous experience in a high-growth digital health environment with rapidly changing priorities is preferred.
- Applicants must have the legal right to work in the United States; immigration or work visa sponsorship is not available.
Benefits
- Competitive total compensation package including base salary, variable compensation, and potential equity.
- Compensation is adjusted based on skills, qualifications, experience, location, market conditions, and demonstrated impact.
- Comprehensive health, dental, and vision insurance for eligible full-time employees.
- Life and accidental death and dismemberment insurance.
- Financial advisory services.
- Supplemental accident, hospital, and critical illness insurance.
- Health Savings Account.
- Equity opportunities.
- Discretionary paid time off.
- Parental leave.
- 401(k) retirement plan.
- Flexible working hours.
- Remote-first work environment.
- Paid company holidays.
- Access to a digital therapist for employees and their families.
- Opportunity to shape clinical strategy and AI governance within an innovative healthcare environment.
- Significant exposure to cross-functional product, engineering, clinical, and commercial leadership.
- Potential career growth as the organization and its AI-powered healthcare programs scale.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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