Senior AI Care Operations Leader

Spring Care, Inc.; New York (NY); Hybrid; USD 140,000 - 180,000; Full time

Benefits offered by this job

Health benefits

401(k) match

Paid time off

Parental leave

Wellbeing programs

Job summary

Spring Health is seeking an experienced Senior AI Care Operations Manager to own the hands-on development and continuous improvement of AI-powered member and provider support experiences. The role is hybrid in New York City with training and collaboration across Care Support, Product, Engineering, Enablement, and Analytics teams.

You will translate policies into reliable automation, monitor AI performance, and drive improvements with a data-driven approach while partnering with SME teams to

Qualifications

• 4–6 years in an operations function (service, care ops, product/program ops) or equivalent ownership of how work gets done.
• 2+ years at a high-growth or scale-stage company in a role that was strategic and hands-on.
• Hands-on experience building, configuring, testing, or improving automated or AI-powered workflows.

Responsibilities

• Build, test, launch, and continuously improve AI-powered support workflows for member and provider needs.
• Translate policies and scenarios into clear decision logic and automated experiences.
• Monitor AI performance, investigate incorrect answers, and resolve issues.
• Own investigation of AI issues from reproduction to resolution and follow-up.
• Distinguish AI, knowledge, process, product, and platform issues and route accordingly.

Skills

Operations

Analytics

AI workflows

Process design

Cross-functional collaboration

Problem solving

Communication

Tools

Prompts & APIs

SQL

Job description

Spring Health is seeking an experienced Senior AI Care Operations Manager to own the hands-on development and continuous improvement of AI-powered member and provider support experiences. The role is hybrid in New York City with training and collaboration across Care Support, Product, Engineering, Enablement, and Analytics teams.

You will translate policies into reliable automation, monitor AI performance, and drive improvements with a data-driven approach while partnering with SME teams to