At Spring Health, the business problem is to eliminate every barrier to mental health by revolutionizing mental healthcare and delivering the right care at the right time, tailored to each individual's needs, for 10 million people, in partnership with over 450 companies, including Microsoft, Target, and Delta Airlines.
Requirements
- Proven Leadership: 2-4+ years in a formal engineering management role.
- LLM Operations Expertise: 1+ years of experience iteratively building AI-empowered tools and ensuring they are operating safely and at scale.
- Machine Learning Expertise: 5+ years of experience in software or machine learning engineering, with a background as a Senior MLE, SRE, or DevOps Engineer working on ML infrastructure.
- Technical Proficiency: Strong understanding of the modern AI/ML stack, including cloud services (AWS, GCP, Azure), container orchestration (Kubernetes), IaC (Terraform), and CI/CD systems.
- Strategic Mindset: Demonstrated ability to collaborate with product management and other cross-functional partners in an outcome-driven environment.
- Project Management Skills: A history of successfully delivering complex, multi-month technical projects.
- Security and Privacy Awareness: We work with sensitive data - ensuring that our pipelines and processes respect the trust of our customers and legal requirements is essential.
Responsibilities
- Provide Technical Leadership: Guide the team through complex architectural decisions across the full AI/ML stack, from our core ML infrastructure (e.g., model registry, CI/CD, feature stores) to LLM orchestration and observability.
- Champion AI Trust & Safety: Work in close partnership with our AI Trust team to translate principles like clinical norms, fairness, and transparency into concrete technical controls and guardrails.
- Drive Operational Excellence: Improve our MLOps and LLMOps capabilities. You will help establish robust, automated monitoring for model performance, latency, and cost; define SLOs for platform components; and build the CI/CD pipelines that enable teams to deploy and iterate on models safely and quickly.
- Execute on Strategy and Drive Alignment: Break down large initiatives into clear, phased roadmaps. You will be a key partner for your product manager in navigating complex prioritization decisions and making strategic trade-offs.
- Manage Stakeholders and Communicate Progress: Build strong relationships and manage dependencies across the organization, including with Product, Member Experience, and Clinical teams.
- Lead a High-Performing Team: Foster a culture of psychological safety and continuous learning where engineers feel empowered to do their best work.
- Drive Accountability and Performance: Set clear and ambitious goals and KPIs for your team.
Other
- 2-4+ years in a formal engineering management role
- Must be based in the San Francisco Bay Area and be willing to commute 2-3 days a week to our office
- Bachelor's degree or higher in a relevant field
- Excellent communication and collaboration skills
- Ability to work in a fast-paced environment and prioritize multiple tasks
