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, J.P. Morgan Chase, 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, William K Warren Foundation, 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.
Reporting to the CTO, you will be in a high-visibility, high-impact role as a Director of AI and ML over a team focused on leading the development of our AI and Machine Learning (ML) platform as well as delivering AI/ML solutions.
What You Will Be Doing:
- Build and Lead AI Foundations Platform:
- Design, architect, and build a robust, scalable machine learning platform that will be the foundation for AI-powered solutions across the company.
- Ensure the platform is user-friendly, modular, and efficient, allowing various product teams to easily leverage AI and ML technologies.
- Develop Data Products:
- Lead efforts to create data products that transform raw data into actionable insights for teams across the company.
- Influence the data engineering team to ensure data pipelines are optimized for scalability and accuracy, supporting the rapid deployment of AI solutions.
- Oversee Machine Learning and Data Science Teams:
- Manage and mentor a team of machine learning engineers and data scientists, fostering a culture of collaboration, innovation, and continuous learning.
- Set clear goals and expectations, ensuring teams are aligned with the company’s AI strategy and product roadmap.
- Drive AI and ML Strategy:
- Partner with leadership and product teams to understand business needs and prioritize AI and ML initiatives that drive value for the organization.
- Work with your Data Products Product Management peer to define a clear AI/ML strategy, aligning technical capabilities with business objectives.
- Platform and Infrastructure Development:
- Ensure the AI platform is designed with scalability, security, and robustness in mind.
- Partner with DevOps and IT teams to ensure the platform is integrated with broader company infrastructure and supports CI/CD pipelines for ML models.
- AI Innovation and Best Practices:
- Keep the organization at the forefront of AI innovation by adopting and implementing best practices, staying up-to-date with the latest advancements in AI and machine learning technologies.
- Promote a culture of experimentation, testing new ideas and approaches to continuously improve AI-driven products.
- Cross-functional Collaboration:
- Collaborate with product managers, software engineers, and business stakeholders to ensure the successful integration of AI/ML technologies into products and services.
- Act as the subject-matter expert on AI and ML platforms, providing guidance and support to product teams on how to leverage these technologies effectively.
- Monitor Performance and Drive Continuous Improvement:
- Track platform performance, data product success, and model accuracy, using metrics to drive continuous improvement.
- Implement feedback loops to refine AI models and ensure they meet or exceed business expectations.
- Build out a data quality framework to ensure model accuracy over time.
What success looks like in this role:
- Ship the core AI and ML framework and deliver on an iterative roadmap
- Build the models which are driving critical business capabilities and deploy them as a service
- Partner with feature teams to implement the AI capabilities to meet our joint business goals
What We Expect From You:
We are seeking an experienced and visionary Director of AI and ML to lead the development of our AI and Machine Learning (ML) platform. This role will focus on building the foundation that enables product teams across the company to leverage AI-driven solutions efficiently and effectively. As the Director of AI and ML, you will lead a talented team of machine learning engineers and data scientists, developing data products and scalable AI platforms that power our business's future.
This is a strategic role for an individual with deep technical expertise, proven leadership experience, and the ability to collaborate across departments to drive AI innovation.
Key Qualifications
- Proven Leadership: 7+ years of experience in building and leading machine learning, data science, or AI teams, with a track record of delivering successful AI-driven solutions.
- Technical Expertise: Strong knowledge of machine learning frameworks, AI technologies, and modern data engineering tools. Experience with platforms like TensorFlow, PyTorch, Kubernetes, and cloud platforms such as AWS, GCP, or Azure.
- Platform Development: Proven experience in architecting and deploying scalable ML platforms, building data pipelines, and managing infrastructure for AI/ML solutions.
- Business Acumen: Ability to bridge the gap between AI/ML capabilities and business goals, ensuring the technology meets the needs of the product teams and the broader business.
- Management Skills: Strong leadership and management experience, with the ability to manage, coach, and develop high-performing teams.
- Collaboration: Demonstrated ability to collaborate across technical and non-technical teams, fostering partnerships to deliver AI solutions that solve real-world problems.
- Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
- Communication Skills: Excellent written and verbal communication skills, with the ability to explain complex AI concepts to stakeholders at all levels.
- Experience in healthcare or mental health technology is not required but preferred.
Preferred Qualifications
- Experience in building AI/ML platforms for enterprise-scale applications.
- Familiarity with data quality frameworks, model monitoring, A/B testing frameworks, and continuous model retraining.
- Hands-on experience with MLOps practices and tools to support model lifecycle management.
The target base salary range for this position is $200,800 - $245,000, 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. All benefits are subject to individual plan requirements and eligibility criteria.
- 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 are also available.
- Employer sponsored 401(k) match of up to 2%
- A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents.
- Generous paid time off, 10 sick days, 12 paid holidays throughout the year, and a 1 month sabbatical leave granted at your 4 year anniversary
- We offer parental leave up to 18 weeks, depending on your eligibility including tenure and medical situation.
- Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses.
- Access to Wellhub, an on-demand virtual benefit that provides wellbeing coaching, and budget management.
- Up to $1,000 Professional Development Reimbursement a year.
- $200 per year donation matching to support your favorite causes.
Don’t meet every requirement? Studies have shown that women, communities of color and historically underrepresented talent are less likely to apply to jobs unless they meet every single qualification. At Spring Health we are dedicated to building a diverse, inclusive and authentic workplace
To ensure intentional and equitable hiring practices, we use a balanced candidate slate in our interviews. This approach guarantees that our pool of qualified candidates includes individuals who are underrepresented in our organization at all levels. This is a key performance indicator (KPI) for our recruiting and hiring teams, reported quarterly to maintain accountability.
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.
Top Skills
What the Team is Saying
What We Do
Life is stressful enough; finding, scheduling, and accessing diverse and quality mental healthcare shouldn't be. Spring Health equips employers and health insurers across the globe to make mental health accessible and achievable.
We use clinically validated AI technology, called Precision Mental Healthcare, to deliver optimal care — from meditation, coaching, therapy, medication, or a combination of all four — to our members. This technology isn't just for our members, but also for our more than 10,000 Providers to be empowered with data and insights to help members get the care they need faster.
Founded eight years ago to address the urgent global mental health crisis, Spring Health’s grown to cover more than 10 million lives through 450 employers, strategic payer relationships, and 27,000 groups that access the Spring Health through a channel partner.
We support employees at global brands like Microsoft, Target, J.P. Morgan Chase and Delta Airlines to deliver best-in-class outcomes for employees and a net positive ROI for employers. Last year, the company became the first and only company in its category to earn external validation of net savings for customers.
Why Work With Us
Our team is dedicated to revolutionizing mental healthcare. We stand by our values and are advocates for our members and team members. Together, we're building solutions with an intensity and focus that has been needed for decades. If you're a builder, come build the future of mental health with us.
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Spring Health Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
At Spring Health, 60% of our team members work remotely. If you're in NYC, you have the opportunity to work in the office, but it's not required.
