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BetterHelp · 1 day ago

Sr. Clinical Product Liaison, AI

Mountain View, CA

Full-time

Hybrid

Senior Level

$130K/yr - $145K/yr

BetterHelp is the world’s largest online therapy service, dedicated to making mental health care more accessible. The Sr. Clinical Product Liaison, AI will be responsible for ensuring that AI tools meet clinical safety and compliance standards while driving clinical excellence across the platform.

Health CareHealth DiagnosticsInternetMental HealthTherapeuticsWellness

Responsibilities

Help develop and refine QA frameworks, testing protocols, evaluation rubrics and monitoring systems for AI tools

Audit AI outputs for clinical safety, accuracy, bias, and alignment with therapeutic and regulatory standards

Review and assess AI-related escalations from BetterHelp therapists, clients, and/or customer-facing teams

Generate clear, actionable AI Clinical QA reports; communicate findings with cross-functional partners; and translate findings into actionable improvements

Collaborate with AI/ML, Product, Data Science, Engineering, Legal and Compliance teams to evaluate, test, and validate AI features and capabilities

Participate in risk-assessment processes for new and evolving AI tools and ensure adherence to evolving ethical and regulatory expectations

Provide clinical input to guide improvements to model behavior, prompting strategies, feature design, and user workflows

Contribute to research studies or evaluations related to AI efficacy and safety

Support Clinical Department initiatives, including office hours, newsletters, and other team programs as needed

Represent BetterHelp externally in public events, webinars, presentations and/or conferences

Qualification

Graduate degreeClinical backgroundAI regulatory knowledgeAI experienceQuality assurance knowledgeAnalytical skillsTherapeutic approaches knowledgeCommunication skillsCross-functional collaborationGrowth mindset

Required

Graduate degree (Masters or Doctorate) in counseling, psychology, or social work

Clinical background in mental health (e.g., psychotherapy, telemedicine, digital mental health, or related care settings)

Knowledge of emerging AI regulatory frameworks and best practices for AI in mental health (e.g., crisis response models and digital escalation workflows)

Experience working in AI, technology, or data science applications in healthcare settings

Knowledge of quality assurance, auditing, and compliance processes, including privacy, security and confidentiality standards in mental healthcare

Strong communication skills with the ability to translate clinical expertise into clear operational and product guidance for AI systems

Strong analytical and problem-solving skills; comfort operating in fast-paced, data-driven environments

Experience collaborating with cross-functional teams

Growth mindset, curiosity, and a passion for advancing mental health care through safe and innovative technologies

Broad understanding of evidenced based therapeutic approaches and current clinical trends