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Spring Health
New York (Hybrid)
Source: Spring Health careers · View original posting
From Spring Health's posting. “We” and “our” refer to the employer.
Our mission: e liminating 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 Director of AI Operations, the Senior AI Care Operations Manager will own the hands-on development, performance, and continuous improvement of AI-powered member and provider support experiences. Working within the strategy and priorities established by AI Operations leadership, this person will build effective support workflows, investigate complex issues, and translate conversations into validated insights, AI improvements, and well-supported recommendations for partner teams.
This is a full-time, individual-contributor position with no direct reports. This is a hybrid role based in New York City, with an expectation to be in the office two to three days per week. Our office is located at 60 Madison Avenue. Occasional travel may be required for company or team events.
AI-powered support workflows consistently meet agreed targets for resolution quality, routing accuracy, member experience, and operational performance.
New and updated workflows are launched with effective testing and monitoring, resulting in fewer defects, regressions, and repeat issues.
High-priority AI-related issues are diagnosed, communicated, and resolved within agreed service expectations, with recurring root causes addressed.
Meaningful patterns from member and provider conversations are consistently converted into validated AI improvements or actionable recommendations for the appropriate partner teams.
Improvements owned by AI Operations produce measurable gains in outcomes such as successful resolution, escalation rates, repeat contacts, or member effort.
AI Operations leadership and cross-functional partners receive clear, evidence-based analysis that supports timely prioritization and decision-making.
The target base salary range for this position is
$97,000 - $124,476 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.
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