Clinical Product Specialist

Headspace

4h•$122,400 - $195,500•Hybrid

About The Position

We’re seeking a Clinical Product Specialist to bridge clinical expertise, product development, and AI-driven innovation. This role ensures that AI-powered features are clinically sound, safe, and aligned with user needs, while supporting product strategy, development, and go-to-market efforts. You’ll work cross-functionally with product managers, data scientists, engineers, clinicians, and compliance teams to translate clinical requirements into scalable AI-enabled experiences.

Requirements

Advanced graduate training in psychology, Masters, Ph.D. or Psy.D.
3+ years of experience in AI-driven product development, clinical AI, digital health, or related fields.
Strong understanding of conversational AI models, NLP, and reinforcement learning.
Experience in prompt engineering and designing AI-driven user interactions with a clinical or health-related focus.
Knowledge of evidence-based clinical frameworks (e.g., CBT, mindfulness, behavioral science) and how they can be applied in digital experiences.
Familiarity with AI ethics, responsible AI, and clinical safety best practices.
Strong analytical skills, with experience in measuring and improving AI-driven experiences using data-driven insights.
Excellent collaboration and communication skills—comfortable working across product, engineering, design, clinical, and research teams.

Nice To Haves

Experience working with LLMs (Large Language Models) and optimizing AI models in health tech applications.
Familiarity with regulatory frameworks (e.g., HIPAA, GDPR, clinical safety guidelines for AI).
Previous experience in a mental health, digital therapeutics, or health tech startup.
Active, unrestricted clinical license and experience providing direct care

Responsibilities

Translate clinical guidelines, workflows, and user needs into product requirements for AI-powered features
Partner with Product and Engineering to ensure clinical validity and safety of AI systems
Define use cases, guardrails, and acceptance criteria for AI-driven interventions
Collaborate with Data Science/ML teams to inform model design, training data considerations, and evaluation metrics
Partner with the QA team to develop and implement quality assurance processes for monitoring and reviewing the quality of AI-driven interactions, using insights to continuously improve product performance and safety.
Support development and implementation of evaluation frameworks (e.g., safety, efficacy, hallucination mitigation)
Guide development of clinically accurate conversational flows, prompts, and interventions
Ensure tone, escalation pathways, and crisis handling align with best practices
Contribute to prompt design and clinical policy layers
Partner with Legal, Compliance, and Privacy teams to ensure adherence to applicable regulations
Help define risk classifications and documentation needs
Support audit readiness and clinical governance processes
Act as the clinical voice in product planning, sprint reviews, and roadmap discussions
Support go-to-market efforts, including clinical positioning and stakeholder education
Work across clinical, research, and AI teams to validate and test AI-driven experiences for real-world effectiveness.
Stay up to date with the latest research in AI-driven mental health interventions, digital therapeutics, and conversational AI.
Advocate for responsible AI use in mental health, balancing innovation with clinical rigor.