Support and Services Operations Manager

Temporal · Enterprise · United States · Revenue Operations

This role is responsible for building scalable processes, systems, and insights to empower the Support organization and deliver exceptional customer experiences. It focuses on optimizing workflows, automating reporting, and integrating customer health data into GTM systems, partnering with GTM Systems, Product, and Data Analytics teams. The role also involves optimizing support capacity planning, linking support performance to revenue growth, and managing operational workflows for customer benefits.

What you'd actually do

  1. Design and document scalable support processes across ticket routing, SLAs, escalation paths, and customer feedback loops.
  2. Develop analytics and dashboards to measure customer health, case volume trends, response times, activation, and consumption-impacting support issues.
  3. Partner with our GTM Systems team to integrate Pylon data with Salesforce, Slack, and other GTM systems to provide unified visibility into customer interactions and consumption blockers.
  4. Partner with Product and Data Analytics to identify patterns in support requests that signal opportunities for product improvements or proactive enablement.
  5. Optimize support capacity planning by analyzing ticket drivers, volumes, and patterns to forecast staffing needs.

Skills

Required

  • Experience with Salesforce and customer support platforms (Zendesk, Pylon)
  • Comfortable creating and interpreting reports to track performance and identify improvement areas.
  • Able to work with technical, operational, and relationship-focused stakeholders
  • Capable of managing priorities across different teams while maintaining service quality.
  • High accuracy in data entry, entitlement tracking, and process documentation.
  • High data fluency with hands-on experience in SQL and BigQuery to analyze performance, build dashboards, and ensure data accuracy across systems.

Nice to have

  • Able to manage structured processes across multiple functions without losing accuracy or timeliness.

What the JD emphasized

  • scalable processes
  • customer health data
  • product improvements
  • support capacity planning
  • retention, expansion, and consumption growth
  • incentive model design
  • customer and partner records
  • operational workflows
  • support SLAs
  • customer satisfaction metrics