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Updated 2026-06-25 03:00 UTC·© 2025–2026 RoleSuite
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Customer Success Operations & AI Agent Manager

Redox · Remote

Redox is on a mission to accelerate healthcare’s transformation with useful data. Redox Engine, a flexible interoperability platform, connects and powers real-time healthcare data exchange. With just one connection, data can be orchestrated across a growing network of 12,000+ systems and organizations, including 100+ electronic health record systems (EHRs). Redox processes over 1.2 billion messages per month across our health tech vendor, provider, payer, EHR, and life sciences customers.

Opportunity & Impact

The CS Ops & AI Agent Manager sits at the center of how our Customer Success Organization operates, scales, and innovates. You will own our CS tooling stack — including Claude, Vitally, Salesforce, Zendesk, and Zapier — and lead the design and deployment of AI-powered workflows and agents that reduce CSM administrative overhead, improve customer health visibility, and accelerate time-to-value. This role directly shapes how our account management, managed services, support, and solutions engineering teams work every day.

Job Responsibilities

  • AI Agent Management:
  • Audit the AI agents already being built across the CS team — document what exists, where quality gaps are, and what needs governance
  • Define standards for how agents are built, tested, and maintained: prompt quality, escalation logic, tone, and accuracy thresholds
  • Own the activation and configuration of AI features in existing CS tools as they are turned on — not just the toggle, but the setup, testing, and rollout
  • Monitor agent performance via CSAT, deflection rates, resolution accuracy, and escalation patterns — and act on what the data shows
  • Design clean handoff points between AI agents and human CSMs, ensuring context is preserved and customers don't feel the seam
  • Partner with Legal and Compliance to ensure agent interactions meet HIPAA obligations and do not surface PHI inappropriately
  • Channel the team's existing agent-building energy into a shared framework — libraries, approved tools, quality standards — so individual experiments can be scaled safely
  • CS Operations:
  • Own, administer, and continuously improve the CS tooling stack including Vitally, Salesforce, Zendesk, and Zapier
  • Maintain CRM data integrity, health scoring logic, and reporting infrastructure that CSMs and leadership depend on daily
  • Build and maintain playbooks, process documentation, and onboarding materials for the CS team
  • Produce recurring reporting on retention, expansion, CSAT, and CSM productivity for CS leadership
  • Identify and eliminate manual work through light automation, even before formal AI agent deployment
  • Required Skills & Experience

  • 4–6+ years in CS Operations or a closely related function in B2B SaaS

  • Hands-on AI agent or workflow deployment — you've built and shipped LLM-based automations (using Claude, GPT-4, or comparable tools) that reduced measurable human effort in a business context; awareness of AI tools is not sufficient

  • Working knowledge of prompt engineering fundamentals — you understand how to write, test, and iterate on prompts; you know what makes an agent reliable vs. just impressive in a demo

  • Strong written communication: you'll be writing and refining agent copy, escalation logic, and internal documentation constantly

  • Comfort with ambiguity and a track record of prioritizing well when everything feels urgent

  • Familiarity with data privacy considerations in enterprise software, particularly around customer data handling

  • Preferred Skills & Experience

  • Experience designing agent governance frameworks — prompt quality standards, escalation logic, tone guidelines, accuracy thresholds, and testing protocols

  • Background in LLM evaluation, AI product management, or agentic workflow tooling (e.g., n8n, Make, Zapier AI, or similar)

  • Experience in healthtech or working with regulated data environments — or genuine eagerness to get up to speed on HIPAA constraints as they apply to AI outputs

  • Exposure to HL7, FHIR, or EHR ecosystem concepts — or a demonstrated ability to develop technical domain fluency fast

  • Experience with CS platforms such as Vitally, Salesforce, Zendesk, or comparable tools

  • Software Platform/Tools

  • Required: Claude, Vitally, Salesforce, Zendesk, Zapier

  • Preferred: SQL or data visualization tooling; additional automation or integration platforms

  • Sales pay context

    Based on 5,388 disclosed Sales salaries on RoleSuite, the role pays a median of $117K/year, with most offers between $81K and $171K (10th–90th percentile: $64K–$238K).

    This posting lists $110K–$125K, in line with the $117K market median.

    See the full Sales salary breakdown →
    Apply →

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