Operations Program Manager, Regional Lead

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

This role focuses on improving operational systems and processes within a region, ensuring scalability, efficiency, and reliability. It involves identifying issues, implementing fixes, driving KPI improvements, and collaborating with various teams to enhance tooling and workflows. The role acts as an escalation partner and regional training lead, translating frontline insights into system enhancements and strengthening auditability.

What you'd actually do

  1. Identify recurring issue patterns and structural inefficiencies across the region
  2. Lead retrospectives on operational breakdowns and implement durable, system-level fixes
  3. Act as the escalation partner for complex and high-risk regional cases
  4. Define and drive regional KPI improvements across SLA, CSAT, backlog health, and escalation rates
  5. Track and measure the impact of operational changes and interventions

Skills

Required

  • Experience in operations, program management, or process improvement roles in high-volume environments
  • Strong analytical and problem-solving skills with a systems-thinking mindset
  • Experience leading cross-functional initiatives and driving measurable outcomes
  • Ability to identify root causes and implement scalable, long-term solutions
  • Strong communication skills across technical and non-technical stakeholders
  • Experience working with KPIs such as SLA, CSAT, backlog, and escalation metrics

Nice to have

  • Experience in support operations, trust & safety, or platform operations
  • Familiarity with workflow tools (e.g., Zendesk or similar systems)
  • Experience building SOPs, training programs, or documentation frameworks
  • Experience working in regional or global operations teams

What the JD emphasized

  • drive system-level improvements
  • operational performance
  • structural reliability
  • scalable, efficient support workflows
  • identifying root causes
  • implementing durable fixes
  • driving measurable improvements
  • bridge between frontline execution and system design
  • continuous improvement
  • solving complex operational challenges
  • driving high-quality outcomes at scale