OUR MISSION: TO ELIMINATE EVERY BARRIER TO MENTAL HEALTH.

At Spring Health, we’re on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology, Precision Mental Healthcare, empowers us to deliver the right care at the right time—whether it’s therapy, coaching, medication, or beyond—tailored to each individual’s needs.
We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we’ve been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers.
We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We’re just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere.

PLEASE NOTE THAT THIS IS A HYBRID ROLE BASED IN SAN FRANCISCO, WITH AN EXPECTATION TO BE IN OFFICE 2-3 DAYS A WEEK. OUR OFFICE IS LOCATED AT 2 EMBARCADERO CTR.

Reporting to the VP of Clinical Products, the AI Safety Lead will be responsible for the design, delivery, and operationalisation of a state-of-the-art, mental health clinical safety function and platform for Spring Health’s various products. This is a full time, hybrid position that is based out of San Francisco, CA.

WHAT YOU’LL BE DOING:

• Define and continuously update our AI Safety Plan inclusive of regulatory frameworks such as the EU AI Act, U.S. Executive Order 14110, NIST AI RMF 1.0, ISO/IEC 42001 requirements, and others
• Establish and enforce fairness, bias, and explainability standard
• Build monitoring pipelines for drift, harmful content, disparate impact, and other vectors of inequity
• Architect safe-by-design ML systems (LLM guardrails, retrieval-augmented generation, ranking pipelines)
• Lead design reviews, threat-modeling, and red-team exercises
• Define and own key risk indicators (KRIs) and SLOs for safety
• Partner with Clinical, Legal, Privacy, Security, and Product to translate regulation into engineering requirements
• Represent Spring Health in external standards bodies and audits

WHAT SUCCESS LOOKS LIKE IN THIS ROLE:

• All high-risk AI services/products documented and compliance-mapped; coverage by automated safety tests; Safety SLOs integrated into CI/CD
• Successful third-party audit and/or public disclosures demonstrating conformance to relevant AI standards and/or higher internal standards
• LLM guardrails + rec-sys filters shipped to prod, Automated fairness tests run in CI/CD
• Safety SLOs defined and met by the entire engineering team
• Spring Health recognized in at least one industry forum for published case study on mental-health AI safety
• Spring Health recognized in at least one academic forum on mental-health AI safety