Engineering Manager - AI & ML Infrastructure at Spring Health Inc

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

22 Dec, 25

Salary

213565.0

Posted On

23 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Technical Leadership, AI Trust & Safety, MLOps, LLMOps, Project Management, Machine Learning, Python, Cloud Services, Container Orchestration, CI/CD, Team Leadership, Mentorship, Stakeholder Management, Strategic Mindset, Security Awareness, Operational Excellence

Industry

Mental Health Care

Description

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 San Francisco Bay Area and be willing to commute 2-3 days a week to our office at 2 Embarcadero, San Francisco, CA 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 engineers feel empowered to do their best work. You will attract, hire, and retain top-tier ML engineering talent. Drive Accountability and Performance: Set clear and ambitious goals and KPIs for your team. You will establish a rhythm of accountability through regular check-ins and performance reviews, addressing underperformance constructively while celebrating wins. Coach and Develop Talent: Actively mentor engineers to grow their technical and soft skills. You will use our career ladders to create personalized development plans that align individual ambitions with team and company goals. What success looks like: Velocity & Safety: Your team’s work on reusable AI safety guardrails and core platform components measurably reduces the time it takes for product teams to ship new AI features to production. LLM Platform Maturity: You mature our LLM platform by delivering on key roadmap phases, including CI/CD for prompts, automated monitoring and alerting, and A/B testing capabilities. You also lead the design and implementation of infrastructure for advanced capabilities like RAG, fine-tuning, and LLM memory. ML Platform Maturity: You lead your team's work on standardizing our ML infrastructure, resulting in a centralized model registry, automated deployment pipelines, and standardized development environments for data scientists. Platform Adoption: You successfully advocate for scalable and robust patterns, demonstrably increasing the percentage of models and AI features that are built and operated on your team's core infrastructure. What you’ll bring: Proven Leadership: 2-4+ years in a formal engineering management role. You have direct experience leading teams of 4+ engineers and a history of productionizing successful AI/ML platforms and solutions. LLM Operations Expertise: 1+ years of experience iteratively building AI-empowered tools and ensuring they are operating safely and at scale. You have hands-on experience with the modern AI stack, including orchestration frameworks like LangGraph, observability tools like LangSmith, and best practices for prompt engineering and building safety guardrails. 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. You have hands-on experience building, evaluating, and deploying machine learning models. 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. You are proficient in Python and have experience with LLM tools like LangGraph and LangSmith. 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. Previous experience in a medical / health records industry is preferred. The target base salary range for this position is $159,100 - $213,565, and is part of a competitive total rewards package including stock options and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay. Benefits provided by Spring Health: Note: We have even more benefits than listed here and below, your recruiter will provide more in-depth information as you continue in the interview process. Benefits are subject to individual plan requirements and eligibility criteria. Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type. Employer sponsored 401(k) match of up to 2% for retirement planning A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents. We offer competitive paid time off policies including vacation, sick leave and company holidays. At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents. Access to Noom, a weight management program—based in psychology, that’s tailored to your unique needs and goals. Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses. Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care Up to $1,000 Professional Development Reimbursement a year. $200 per year donation matching to support your favorite causes. Not sure if you meet every requirement? Research shows that women and people from historically underrepresented communities often hesitate to apply for roles unless they meet every qualification compared to other similarly-qualified candidates. At Spring Health, we are committed to fostering a workplace where everyone feels valued, empowered, and supported to Thrive. If this role excites you, we encourage you to apply. Ready to do the most impactful work of your life? Learn more about our values, what it’s like to work here, and how hypergrowth meets impact at Spring Health: Our Values Our privacy policy: https://springhealth.com/privacy-policy/ Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

Responsibilities

As the Engineering Manager of the AI/ML Platform team, you will guide the team through complex architectural decisions and drive operational excellence. You will also foster a culture of high standards and accountability while mentoring engineers to enhance their skills.