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Spring Health

Connects employees with mental health care

Lead Product Manager - AI Safety and Platform

Technical Product ManagementConfirmed live in the last 24 hours
Full-time$182k - $243k /yr

About the Job

Requirements

  • Seven or more years of product management experience, focused on machine learning or artificial intelligence systems.
  • Two or more years of experience shaping tooling or technical strategy behind generative AI systems, including agent orchestration with LangChain or LangGraph, model gateways, and evaluation pipelines.
  • Demonstrated experience partnering deeply with Engineering to ship scalable, reliable systems in production environments.
  • Experience running continuous discovery with internal users and translating feedback into high-impact platform improvements.
  • Strong artificial intelligence and machine learning fluency, including understanding model lifecycles, performance metrics, failure modes, and validation methods.
  • Experience defining goals and specifications for model evaluation, red teaming, or risk mitigation.
  • Ability to communicate and align across technical, clinical, and regulatory teams.

Responsibilities

  • Own the roadmap and strategy across the AI/ML Platform and AI Trust & Safety pods, advancing a unified vision for infrastructure that enables rapid, scalable AI development and establishes standards for safe and effective AI at Spring Health.
  • Run continuous discovery across product, clinical, engineering, legal, and data science teams to surface emerging AI use cases, workflow gaps, and safety risks; translate insights into a prioritized roadmap balancing near-term enablement with long-term platform scalability and trust.
  • Prioritize investments based on business impact and define and evangelize standards for platform performance and safety performance.
  • Measure and report the impact of platform infrastructure investments, tracking how they unlock velocity, quality, and value for downstream feature teams and using the data to guide future platform investments.
  • Drive a strategy to responsibly leverage Spring Health’s clinical data assets to continuously improve AI system performance and safety.
  • Partner with machine learning engineers and data scientists to scope work across platform capabilities and safety/evaluation tooling, with clear problem statements, success metrics, and definitions of done.
  • Define operational approval gates and rollout plans for AI features before production deployment, in close partnership with engineering and clinical leadership.

Desired Qualifications

  • Experience in the benefits or mental health space.
  • Experience with business-to-business-to-consumer (B2B2C) customers.
  • Tool- or language-specific experience.

About the Company

Spring Health

Connects employees with mental health care

Spring Health connects employees and health plan members with mental health care through a digital platform and clinician network. Members complete an assessment, receive care recommendations and arrange services such as therapy, coaching or medication management. Care navigators guide members through their options, while digital tools support engagement and progress tracking between appointments. Employers and health plans pay for platform access and clinical services under contracts, and receive aggregated reporting on use and outcomes rather than private session notes. Spring Health was founded in 2016 and is headquartered in New York City.

Company size
1,001-5,000
Company stage
Series E
Total funding
$465M
Headquarters
New York City, New York
Founded
2016

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