Senior Product Manager, AI Trust & Safety

Spring Health is a global mental health company on a mission to eliminate every barrier to mental health. We're building a world where getting support is simple, personal, and built around the person, so care can continue through every job, move, health plan, and life stage.

Our AI-native platform helps us deliver personalized support across self-guided tools, coaching, therapy, medication management, and specialty care. With outcomes independently validated by JAMA Network Open and the Validation Institute, Spring Health reaches more than 170 million people worldwide through leading employers, health plans, and partners.

As an AI-native company, we believe technology should expand the reach, quality, and humanity of care. Every Spring Health team member is expected to use AI tools thoughtfully, apply human judgment to AI outputs, and keep building AI fluency in ways that support their role and our mission.

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. Please note that this is a hybrid role based in Seattle, with an expectation to be in the office 2–3 days per week at our 255 King St location. Candidates must be based in the Seattle metro area or able to relocate independently within 90 days of their start date. Occasional travel will be required for team on-sites.

• →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

• 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

• 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.

• 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 - $196,880, 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 other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay.