AI Success Specialist Manager

Confirmed live in the last 24 hours

Capital Rx

Compensation

$200,000 - $230,000/year

Remote

Hybrid

Posted March 23, 2026

Job Description

About Judi Health

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including:

Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,
Judi Health™, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and
Judi®, the industry’s leading proprietary Enterprise Health Platform (EHP), which consolidates all claim administration-related workflows in one scalable, secure platform.

Together with our clients, we’re rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve. To learn more, visit www.judi.health.

Location: Remote (For Non-Local) or Hybrid (Local to Denver or NYC area)

Position Summary:

Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as an AI Success Specialist Manager. We are looking for an experienced professional with AI and machine learning expertise to join us in applying cutting-edge open-source tools and/or those developed within the company to increase efficiency and reduce friction within the company as well as for our customers.

AI Success Managers drive client value, adoption, and retention for AI products by guiding onboarding, optimizing use cases, and fostering strategic partnerships. They act as technical advisors and change agents, ensuring safe, ethical, and high-ROI deployment of AI solutions. Core duties include accelerating time-to-value, managing a cross-functional technical team, and monitoring performance KPIs.

Core Responsibilities and Roles

Adoption and Value Realization:Accelerate customer time-to-value by ensuring rapid adoption and operational excellence for AI solutions.
Strategic Advisory:Act as a strategic partner to department leaders within the company and external clients as needed, mapping AI capabilities to business goals, identifying new use cases, and driving expansion.
Implementation Management:Lead the end-to-end onboarding process, including scoping, technical setup, and training, to ensure successful deployment.
Performance Monitoring:Track and analyze key AI usage metrics, such as model performance, adoption rates, and ROI, to inform optimization strategies.
Change Management:Guide clients through the organizational changes required for AI adoption, focusing on training and cultural alignment.
Technical Support and Advocacy:Act as a liaison between the clients/departments and the AI product/engineering teams to resolve technical issues and advocate for product enhancements.
Risk Management:Proactively identify potential bottlenecks, ethical concerns, or security risks in AI deployment.
Manage and lead team of small team Machine Learning Engineers
Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance

Key Skills Required

AI Technical Proficiency:Deep understanding of Generative AI/ML models, Agentic AI, API usage, and data management.
Relationship Management:Ability to build trust with key stakeholders and executives.
Strategic Thinking:Capability to align complex AI technology with business strategy and outcomes.
Change Leadership:Expertise&n