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Lead Product Manager – AI Safety and Platform
Spring Health. Own the roadmap and strategy across the AI/ML Platform and AI Trust & Safety pods .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product management for AI/ML systems, with a strong focus on developing and implementing strategies that enhance platform capabilities and safety. Proven ability to collaborate across cross-functional teams to drive impactful improvements and establish industry leadership in AI safety.
Highest-signal resume keywords
Product Management ExperienceAI/ML Systems ExpertiseTechnical Strategy for GenAICross-Functional CommunicationModel Evaluation and Risk Mitigation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI FluencyML FluencyModel LifecyclesPerformance MetricsFailure ModesValidation MethodsTooling DevelopmentAgent OrchestrationModel GatewaysEvaluation Pipelines
Soft Skills
Cross-Functional AlignmentExceptional Communication
Tools & Technologies
AI Safety BenchmarkVERA-MH
Industry Keywords
Mental Health CareClinical Data AssetsOperational Approval GatesContinuous DiscoveryPlatform Infrastructure
Tech Stack
Tools & technologiesSpring
About the role
Key responsibilities & impact- Own the roadmap and strategy across the AI/ML Platform and AI Trust & Safety pods
- Run continuous discovery across product, clinical, engineering, legal, and data science teams
- Translate use cases, workflow gaps, and safety risks into a prioritized roadmap
- Prioritize investments based on business impact and define platform and safety performance standards
- Measure and report the impact of platform infrastructure investments
- Drive responsible use of Spring’s clinical data assets to improve AI performance and safety
- Partner with ML engineers and data scientists on platform capabilities and safety/evaluation tooling
- Define operational approval gates and rollout plans for AI features before production deployment
- Drive development of Spring’s external AI safety benchmark, VERA-MH
- Establish Spring as a recognized leader in AI safety within mental health care
Requirements
What you’ll need- 7+ years of product management experience, with a focus on ML/AI systems
- 2+ years of experience shaping tooling or technical strategy behind GenAI systems, including agent orchestration, 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 AI and ML fluency, including model lifecycles, performance metrics, failure modes, and validation methods
- Experience defining goals and specifications for model evaluation, red teaming, or risk mitigation
- Exceptional cross-functional communication and alignment skills across technical, clinical, and regulatory teams
Benefits
Comp & perks- Health, Dental, Vision benefits start on your first day at Spring
- One Medical accounts
- HSA and FSA plans, with Spring contributing up to $1K for HSAs depending on plan type
- Employer-sponsored 401(k) match of up to 2%
- Yearly allotment of no-cost visits to Spring Health therapists, coaches, and medication management providers for employees and dependents
- Competitive paid time off, including vacation, sick leave, and company holidays
- Parental leave after 6 months’ tenure: 18 weeks for birthing parents and 16 weeks for non-birthing parents
- Noom weight management program
- Fertility care support through Carrot and $4,000 reimbursement for related fertility expenses
- Wellhub fitness, mindfulness, nutrition, and sleep subscription
- BrightHorizons sponsored child care, back-up care, and elder care
- Up to $1,000 annual professional development reimbursement
- $200 per year donation matching