Clinical Product Specialist
H
HeadspaceMental Health
Remote - United StatesFull-TimeMiddle
Salary122400 - 195500 USD per year
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Job Details
- Experience
- 3+ years
- Required Skills
- Behavioral scienceNLPPrompt EngineeringHIPAA
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)
- Familiarity with AI ethics, responsible AI, and clinical safety best practices
- Strong analytical skills
- Excellent collaboration and communication skills
- Experience working with LLMs (Large Language Models) and optimizing AI models in health tech applications (preferred)
- Familiarity with regulatory frameworks (e.g., HIPAA, GDPR, clinical safety guidelines for AI) (preferred)
- Previous experience in a mental health, digital therapeutics, or health tech startup (preferred)
- Active, unrestricted clinical license and experience providing direct care (preferred)
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
- Guide development of clinically accurate conversational flows, prompts, and interventions
- Partner with Legal, Compliance, and Privacy teams to ensure adherence to applicable regulations
- Act as the clinical voice in product planning, sprint reviews, and roadmap discussions
- Support go-to-market efforts, including clinical positioning and stakeholder education
- Stay up to date with the latest research in AI-driven mental health interventions, digital therapeutics, and conversational AI.
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