Engineering Manager - AI & ML Infrastructure

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.

As the Engineering Manager of our AI/ML Platform team, you will be central to our mission to accelerate the delivery of cutting-edge improvements that remove barriers to mental health. Together, you and your team will be responsible for building and scaling the core AI and ML platforms that empower all our product teams. You will report to the Director of AI & ML on the Data Products group and collaborate with her to execute on the vision for maturing this infrastructure. Your work will directly enable us to get critical features into the hands of users sooner in a safe and robust way.

This is a role for a leader who leads from the front. As a player-coach, you will be deeply engaged in the technical details, guiding the team through complex decisions on architecture, AI safety, and workflows using tools like LangGraph. Your hands-on expertise is the foundation for your true focus: amplifying the team's impact through team leadership and mentorship. You will achieve this by fostering a culture of high standards, driving accountability on execution, and ensuring the team has the clarity and support needed to turn ambitious roadmaps into reality.

Please note that candidates for this position must be based in the Salt Lake City metro area and be willing to commute 2-3 days a week when this role transitions to a hybrid schedule in 2026.  We're excited to be growing our presence in Salt Lake City!

What you’ll do:

• 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. You will help implement standard practices and patterns that make it easy to include safety guardrails for new applications.
• 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. You'll track and communicate KPI-focused metrics that measure your platform's health, adoption rate, and impact on developer velocity.
• Lead a High-Performing Team: Foster a culture of psychological safety and continuous learning where enginee