Headspace

Clinical Product Specialist

Headspace

full-time

Posted on:

Location Type: Hybrid

Location: United States

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Salary

💰 $122,400 - $195,500 per year

About the role

  • 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.

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.
Benefits
  • comprehensive healthcare coverage
  • monthly wellness stipend
  • retirement savings match
  • lifetime Headspace membership
  • generous parental leave
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI-driven product developmentconversational AInatural language processing (NLP)reinforcement learningprompt engineeringevidence-based clinical frameworksdata-driven insightsquality assurance processesevaluation frameworksclinical governance
Soft Skills
collaborationcommunicationanalytical skillsadvocacyclinical rigor
Certifications
MastersPh.D.Psy.D.