About the Clinical Product Specialist at Headspace
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.What you will do:
Clinical & Product Integration
- 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
AI Model Oversight & Quality
- 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)
Content & Experience Design
- 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
Regulatory & Compliance Alignment
- 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
Cross-functional Collaboration & Thought Leadership
- 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.
What you will bring:
Required Skills:
- 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.
Preferred Skills:
- 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.
