Engineering Manager, Spring Health
AI & ML Infrastructure
$159.1-213.6k
Plus stock options
2-3 days a week in office
Personalized mental healthcare
Be an early applicant
Personalized mental healthcare
1001+ employees
Be an early applicant
$159.1-213.6k
Plus stock options
2-3 days a week in office
1001+ employees
Company mission
To eliminate every barrier to mental health.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
Large companies often provide employees with mental health services, but small businesses find it challenging to offer similar support. Additionally, existing support systems are usually generalized, failing to deliver the personalized mental healthcare that individuals need. To address this gap, Spring Health has developed AI-driven tools for employers to create tailored mental wellness plans for their employees, including treatment options, daily routines, and medication plans based on individual data.
Spring Health has recently expanded its services to the family and pediatric space through the acquisition of Weldon, offering mental wellness guidance to parents. This expansion includes chats with therapists, social workers, and parenting coaches, as well as group support with other parents and access to educational content. By focusing on personalized care, Spring Health aims to enhance mental wellness support for families alongside its existing employee services.
The behavioral health market is projected to grow to $242B by 2027. While many solutions prioritise fast access to therapy or meditation, Spring Health differentiates itself by emphasizing the right type of care for each individual. With substantial funding raised, Spring Health is well-positioned to continue its innovative approach to mental health services.
Freddie
Company Specialist at Welcome to the Jungle
Insights
77% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Jul 2024
$100m
SERIES E
Apr 2023
$71m
LATE VC
Total funding: $465.1m
Company benefits
- Health, Dental, Vision benefits start on your first day at Spring Health. You and your dependents also receive an individual One Medical account which is valued at $199/year per user. HSA and FSA plans available
- A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents
- 10 allocated sick days per year
- Flexible paid time off in addition to 12 paid holidays throughout the year
- Access to Gympass, an on-demand virtual benefit that provides wellbeing coaching, and budget management
- Spring Renewal: When you hit your four-year Springaversary, you’ll be awarded a four week, fully paid, sabbatical leave to renew and recharge
- 4-4.5 months of fully paid parental leave
- Spring Health provides team members and their families with sponsored access to Bright Horizons® child care, back-up care, and elder care
- Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses
- Our People team benchmarks all salaries using the Radford Global Compensation Database for technology and life sciences industries. Radford benchmarks salaries with 3,589 global firms, 6.5 million employees, and 98 countries across the globe. We do this to ensure all of our team members are paid equally and competitively
- On top of competitive and benchmarked salary, Spring Health offers incentive pay (based on role), and equity that begins vesting as we celebrate your first year with the company!
- Employer sponsored 401(k) match of up to 2% after 90 days of employment
- Flexible work arrangements: 66% of Spring Health team members work fully remote while 33% work in a hybrid model from our New York City offices
- Focus Fridays: no meetings, no distractions, just time for you to get work done
- Focus Weeks: In Spring 2023, we held our first ever Focus Week, we canceled all non-essential meetings, minimized distractions, and you, our team members, to dive into the key work that gets chopped up or deprioritized during the regular day-to-day. We saw a 36% jump in the average energized score after those five days of flow state work and are finalizing a plan for quarterly Focus Weeks for team members
- Up to $1,000 Professional Development Reimbursement per calendar year
- $200 per year donation matching to support your favorite causes
Company HQ
Flatiron District, New York, NY
Leadership
Adam Chekroud
(Co-Founder)Previously President of The Oxford Guild Business Society for 2 years and Researcher at FMRIB Centre - University of Oxford for 1 year.
April Koh
(Co-Founder & CEO)Previously Chief Product Officer & Co-Founder at Spylight for 1 year. Also worked in the Product Management Department at Shazam for 5 months.
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