Key skills
AILeadershipCommunication
About this role
GreenLight.ai builds the infrastructure behind modern independent work, combining technology with hands-on expertise to deliver a world-class customer experience. They are seeking a Client Success Lead to manage day-to-day operations for a large enterprise client, focusing on EOR/AOR workflows, worker classification, and lifecycle support while ensuring high-quality customer service.
Responsibilities:
- Serve as the primary day-to-day operational lead for the client
- Run weekly client operations meetings and manage ongoing stakeholder communication
- Maintain strong relationships with program sponsors, HR, procurement, and hiring managers
- Drive responsiveness and clarity in a high-volume, fast-paced environment
- Own worker orientation, communication, and 'warm introduction' into the program
- Coordinate onboarding pipeline across internal support teams (e.g., VMS data entry, I-9 documentation)
- Stay in the loop on all worker lifecycle issues; drive resolution and bring in ER/HR SMEs as needed
- Ensure smooth offboarding processes and proper documentation/closeout
- Coordinate classification workflows and ensure the right stakeholders are engaged
- Maintain visibility into compliance progress to proactively prevent escalations
- Escalate and coordinate with internal compliance SMEs when issues arise
- Help the program operate predictably across multiple countries and regulatory contexts
- Own operational escalations end-to-end with a tight line to CS leadership
- Track issues, unblock dependencies, and ensure follow-through across teams
- Maintain a clear 'no dropped balls' system for the program
- Pull and share client reporting/dashboards using established templates
- Communicate trends and program performance clearly to client stakeholders
- Coordinate inputs for QBRs
- Work comfortably inside enterprise tools (including VMS)
- Identify workflow gaps and propose improvements (process + tech)
- Surface product feedback and recommendations
- Help develop or improve client-facing and internal user guides