Senior Product Manager, AI Trust & Safety

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. The Senior Product Manager for AI Trust Safety will own the roadmap and champion the standards to ensure AI experiences in Spring Health’s products are safe and trustworthy. You will shape the definition of 'safe and effective' AI by leading efforts in model evaluation, operational approval gates, and safety measurement, collaborating with engineering, data science, legal, and clinical stakeholders to implement this strategy. Reporting to the Senior Director of Product, Customer Value, this hybrid role is based at our New York City office (60 Madison Avenue), with 2-3 days per week in-office required. What you’ll do: Own the roadmap for the AI Trust Safety pod, prioritizing and driving investments to continually improve safety across AI experiences in the Spring Health platform. Define a strategy to leverage data to improve performance of AI systems Shape and evangelize the standards for what “safe and effective AI” means in Spring Health’s context Define operational approval gates for AI features before they’re deployed in production Partner with ML engineers and data scientists to scope and prioritize technical work that enables AI safety trust What success looks like: Establish and operationalize robust evaluation protocols for AI-driven features. Achieve measurable improvement in AI interaction safety and reliability metrics. Drive cross-functional operational alignment on trustworthy AI standards across Legal, Clinical, and ML teams. Advance Spring Health’s market leadership on AI safety in mental healthcare What you’ll bring: 4+ years of product management experience, with a focus on ML/AI systems Strong ML fluency. Understands model lifecycles, performance metrics, failure modes, and validation methods. Experience defining goals and specs for model evaluation, red teaming, or risk mitigation Strong cross-functional communication and alignment skills across technical, clinical, and regulatory teams Demonstrated ability to take end-to-end ownership of complex problems and drive outcomes in high-velocity, ambiguous environments. Nice to have: Prior experience in a data science role Familiarity with human-in-the-loop evaluation pipelines or post-deployment model monitoring Understanding of emerging AI regulatory frameworks (e.g., EU AI Act, U.S. HHS guidance) The target base salary range for this position is $150,000 - $202,400 , and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and othe ... (truncated, view full listing at source)