Sme, Support Systems Specialist

Scale AI Scale AI · Data AI · India · Gen AI Operations

This role focuses on optimizing and maintaining core infrastructure for contributor support operations at Scale AI, a company that develops AI systems. The specialist will configure and manage systems like Zendesk, design routing logic for ticket distribution, and build scalable frameworks to ensure efficient and accurate assignment of support tickets. The position requires strong systems-thinking, attention to detail, and the ability to collaborate with various stakeholders to translate operational needs into robust system configurations. While the company is in the AI domain, this specific role is centered on operational support systems rather than direct AI/ML development.

What you'd actually do

  1. Own end-to-end Zendesk configuration, including ticket forms, fields, macros, triggers, automations, SLAs, and views
  2. Design and maintain routing logic to ensure accurate ticket distribution across skills, queues, and teams
  3. Build and manage the support agent skills framework (skills, tiers, certifications, queue structures)
  4. Monitor and optimize queue health, load balancing, and ticket assignment accuracy
  5. Configure and maintain integrations across support tools and reporting systems

Skills

Required

  • Experience administering Zendesk or similar support CRM systems
  • Experience designing routing logic or managing skills-based systems in high-volume environments
  • Strong systems-thinking and analytical mindset
  • High attention to detail with the ability to identify risks and inconsistencies
  • Experience working cross-functionally with both technical and non-technical stakeholders
  • Ability to own and manage complex system configurations end-to-end

Nice to have

  • Experience working with operational data (Google Sheets, dashboards, reporting tools)
  • Familiarity with SQL or data analysis for routing optimization
  • Basic scripting knowledge (Python or JavaScript)
  • Experience scaling support systems in fast-growing environments

What the JD emphasized

  • own and optimize the core infrastructure
  • building scalable frameworks
  • scale seamlessly with increasing volume and complexity
  • building and improving systems that others rely on daily
  • solving complex operational challenges at scale
  • end-to-end Zendesk configuration
  • design and maintain routing logic
  • build and manage the support agent skills framework
  • monitor and optimize queue health
  • configure and maintain integrations
  • own and manage complex system configurations end-to-end