Senior Manager, Cx Operations (services & Success)

ClickUp ClickUp · Enterprise · United States · Customer Experience

This role focuses on owning and operating the AI agent harness and automation layer within CX Operations, specifically for Technical Account Management (TAM). The Senior Manager will design, ship, manage, and iterate on AI-driven workflows to automate customer health inspection, risk detection, engagement management, and services delivery. The role also involves architecting observability into these AI processes and establishing governance and evaluation frameworks for AI-assisted outputs, aiming to enhance customer experience and drive operational efficiency.

What you'd actually do

  1. Own and operate the AI agent harness and automation layer of our TAM operating model
  2. Design, ship, manage, and iterate on AI-driven workflows that enhance and automate customer health inspection, risk detection, engagement management, services delivery lifecycle, workflow orchestration, quality measurement, and customer experience across TAM and CX
  3. Build scalable, multi-step agentic systems that TAM and CX leaders rely on for planning, forecasting, insight generation, and decision support
  4. Establish governance, system evaluation frameworks, and QA processes for AI-assisted outputs: define what "good" looks like, set quality checkpoints, and create feedback loops so AI workflows improve over time
  5. Architect observability into AI-enhanced processes: track output quality, decision accuracy, adoption rates, and business impact to quantify the leverage created through AI

Skills

Required

  • AI agent harness and automation layer ownership
  • Design, ship, manage, and iterate on AI-driven workflows
  • Build scalable, multi-step agentic systems
  • Establish governance, system evaluation frameworks, and QA processes for AI-assisted outputs
  • Architect observability into AI-enhanced processes
  • Technical Account Management (TAM) Operations
  • Professional Services and Customer Success operations
  • Data analysis and business insights
  • Cross-functional leadership and influence
  • Strategic planning and execution

Nice to have

  • AI fluency
  • Experience with AI tools in operational analysis, data modeling, reporting automation, strategic communications, and executive presentations
  • Understanding of AI developments relevant to CX operations

What the JD emphasized

  • AI agent harness and automation layer
  • AI-driven workflows
  • multi-step agentic systems
  • governance, system evaluation frameworks, and QA processes for AI-assisted outputs
  • Architect observability into AI-enhanced processes

Other signals

  • AI agent harness and automation layer
  • AI-driven workflows
  • multi-step agentic systems