Engineering Manager - AI & ML Infrastructure

Spring Health • San Francisco, CA

92d • $159,100 - $213,565

About The Position

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.

Requirements

• Proven Leadership: 2-4+ years in a formal engineering management role with experience leading teams of 4+ engineers.
• LLM Operations Expertise: 1+ years of experience building AI-empowered tools and ensuring they operate 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.
• Technical Proficiency: Strong understanding of the modern AI/ML stack, including cloud services, container orchestration, IaC, and CI/CD systems.
• Strategic Mindset: Ability to collaborate with product management and other cross-functional partners in an outcome-driven environment.
• Project Management Skills: History of successfully delivering complex, multi-month technical projects.
• Security and Privacy Awareness: Experience in a medical/health records industry is preferred.

Responsibilities

• Provide Technical Leadership: Guide the team through complex architectural decisions across the full AI/ML stack, from our core ML infrastructure 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, establish robust automated monitoring for model performance, latency, and cost.
• Execute on Strategy and Drive Alignment: Break down large initiatives into clear, phased roadmaps and navigate complex prioritization decisions.
• Manage Stakeholders and Communicate Progress: Build strong relationships and manage dependencies across the organization, tracking and communicating KPI-focused metrics.
• Lead a High-Performing Team: Foster a culture of psychological safety and continuous learning, attracting, hiring, and retaining top-tier ML engineering talent.
• Drive Accountability and Performance: Set clear and ambitious goals and KPIs for your team, establishing a rhythm of accountability.
• Coach and Develop Talent: Actively mentor engineers to grow their technical and soft skills, creating personalized development plans.

Benefits

• Health, Dental, Vision benefits start on your first day.
• Employer sponsored 401(k) match of up to 2%.
• Yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers.
• Competitive paid time off policies including vacation, sick leave, and company holidays.
• Parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents after 6 months tenure.
• Access to Noom, a weight management program.
• Access to fertility care support through Carrot, with $4,000 reimbursement for related expenses.
• Access to Wellhub for fitness, mindfulness, nutrition, and sleep.
• Access to BrightHorizons for sponsored child care, back-up care, and elder care.
• Up to $1,000 Professional Development Reimbursement a year.
• $200 per year donation matching.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees