Senior Program Manager, Clinical Product - New Venture

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.

Reporting to the GM New Ventures, you will partner with core team members to help execute a high-impact new venture at Spring Health. This is a unique opportunity to architect and scale a net-new product from inception to deliver exceptional care and measurable outcomes. This role will focus on ensuring that our capabilities are clinically effective, engaging, and safe, using best-in-class methodologies. You will collaborate with clinicians, product managers, designers, data scientists, and engineers to define and implement clinical best practices and safeguards to uphold the quality and efficacy of our products and services. The ideal candidate will have a strong background in digital mental healthcare, clinical product building, and deep clinical mental health skills. 

What you’ll be doing:

• Deliver clinical product support to cross-functional teammates to ensure maximal product velocity while building products safely and with high clinical quality 
• Act as the clinical Subject Matter Expert (SME) for the internal teams by providing guidance and support to internal stakeholders 
• Maintain familiarity with the latest best practices in the digital mental health tech industry and ensure compliance with regulatory and contractual requirements 
• Partner with product development teams to develop capabilities that align with evidence-based care practices.
• Work closely with cross-functional partners (Product, Design, Clinical) to develop risk mitigation strategies within the product.
• Establish guidelines for ensuring compliance with ethical, clinical and regulatory standards
• Work across clinical, research, and other teams to validate for real-world effectiveness.
• Stay up to date with the latest research in mental health interventions and digital therapeutics

What success looks like in this role: 

• Continuous involvement end-to-end in key product building efforts 
• Strong clinical voice present in product development
• Successful clinical support to product team without causing delays in build execution
• Positive feedback from internal and external stakeholders regarding clinical product support
• Build trusting relationships with cross-functional teams including revenue, medical affairs, operations, and data science
• Deliver market-leading customer & member satisfaction, usability, and outcomes

What we expect from you: 

• Be a licensed mental health provider with 5+ years of independently licensed with a masters or PhD level license in a mental health field (LPC/LMHC, LSW, PhD/PsyD)
• You have 4+ years working in the digital mental health ecosystem
• 3+ years of experience in AI-driven product development, clinical AI, digital health, or related fields.
• Strong understanding of conversational AI models, NLP, and reinforcement learning.
• Experience in prompt engineering and designing AI-driven user interactions with a clinical or health-related focus.
• Knowledge of ev