Senior Product Manager, AI & ML Platform

Senior Product Manager, AI & ML Platform

Seattle, WA (hybrid)

Our Mission: Eliminating Every Barrier To Mental Health.

Spring Health is a global mental health company on a mission to eliminate every barrier to mental health. We're building a world where getting support is simple, personal, and built around the person, so care can continue through every job, move, health plan, and life stage. Our AI-native platform helps us deliver personalized support across self-guided tools, coaching, therapy, medication management, and specialty care. With outcomes independently validated by JAMA Network Open and the Validation Institute, Spring Health reaches more than 170 million people worldwide through leading employers, health plans, and partners. As an AI-native company, we believe technology should expand the reach, quality, and humanity of care. Every Spring Health team member is expected to use AI tools thoughtfully, apply human judgment to AI outputs, and keep building AI fluency in ways that support their role and our mission.

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 Seattle, with an expectation to be in the office 23 days per week at our 255 King St location. Candidates must be based in the Seattle metro area or able to relocate independently within 90 days of their start date. Occasional travel will be required for team on-sites.

What You'll Do:

• 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.

What Success Looks Like:

• 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.

What You'll Bring:

• 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 - 196,880, 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.

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 programbased 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.

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.