Senior Product Manager, AI & ML Platform

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 Senior Director of Product, Customer Value, you will be instrumental in defining and executing the vision for a scalable, secure, and extensible AI/ML foundation. You will build the core machine learning infrastructure and developer platform that powers intelligent features across the company, and enables product teams to rapidly develop, evaluate, deploy, and monitor AI solutions with confidence. Please note that this is a hybrid role based in New York City with an expectation to be in office 2-3 days a week. Our office is located at 60 Madison Avenue.

• →Shape and drive the AI/ML platform strategy and roadmap. Advance the long-term vision for our core ML infrastructure and AI developer platform, ensuring it enables rapid experimentation, safe deployment, and scalable production use across all product teams.
• →Lead continuous discovery with feature teams. Run an ongoing discovery motion with product, clinical, and engineering teams to deeply understand emerging AI use cases, pain points, and workflow gaps; translate those insights into a clear, prioritized roadmap that balances immediate enablement needs with long-term platform scalability and technical strategy.
• →Align platform investments to business impact. Prioritize infrastructure initiatives based on customer value, scalability, and ROI, ensuring the platform supports enterprise-grade performance, security, and cost efficiency.
• →Define platform solutions in close partnership with Engineering leadership. Collaborate with engineering managers to translate ambiguous AI/ML needs into well-scoped, technically sound platform capabilities, with clear problem statements, success metrics, definition of done, and thoughtful rollout and enablement plans that drive strong adoption among internal developers.

• Establish clear service standards for the AI/ML platform and consistently improve performance, stability, and scalability.
• Build feedback loops with internal teams and measurably improve satisfaction by reducing friction and increasing self-serve capabilities.
• Expand access to high-value data and platform capabilities while reducing the infrastructure burden on feature teams, enabling them to ship impactful AI features more quickly.

• 4+ years of Product Management experience, including ownership of highly technical platforms, infrastructure, or developer-facing products.
• Demonstrated experience partnering deeply with Engineering to ship scalable, reliable systems in production environments.
• Strong understanding of AI/ML systems and workflows (e.g., model lifecycle, evaluation, deployment, observability), with the ability to translate complex technical concepts into clear product direction.
• Track record of driving roadmap clarity in ambiguous, fast-moving spaces and delivering measurable outcomes.
• Experience running continuous discovery with internal users and translating feedback into high-impact platform improvements.
• Ability to define clear success metrics, service standards, and rollout strategies that drive adoption.
• Excellent cross-functional communication skills, with the ability to influence senior technical stakeholders without formal authority.
• Prior machine learning engineering experience is preferred but not required

The target base salary range for this position is $150,000 - $202,400, and is part of a competitive total rewards package including equity 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.