SPS-North America

SPS-North America

Client Service Supervisor

Austin, Texas, United States

Sponsorship not specifiedDetected 9 hours ago
CSSCustomer Support

> stay_score

odds of building a lasting career here

16Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

No strong sponsorship signal in the public record yet. In the full product we resolve the exact legal entity and show its filing history with a confidence score โ€” treat as unverified until then.

Lottery odds assume a STEM candidate.

Personalize to your clock โ†’

> community_outcomes

No reports yet โ€” be the first to help the next applicant.

About the role

  • Client Service Supervisor ๐Ÿ“ Austin, Texas On-site The Customer Service Supervisor (CSS) position is to sit on-site with our client and oversee multiple sites or projects.
  • The position is responsible for daily service delivery, employee management, overall customer satisfaction, and strict adherence to all SPS policies.
  • The CSS will act as the primary daily client contact in correlation with the Client Service Manager.

Responsibilities

  • Manages the receipt, delegation and successful completion of all client requests.
  • Manages all resources within the operation including people, hardware/software and facilities.
  • Maintains a safe working environment for the SPS staff.
  • Maintains metrics for monthly reporting of KPIs/SLAs.
  • Performs multiple daily walkthroughs to observe team performance first hand.
  • Documents any incidents and inform Client and SPS immediately.
  • Maintains site P&L at proforma levels or above.
  • Maintains Client Satisfaction Index ("CSI") at or above previous score.
  • Maintains Employee Satisfaction Index ("ESI") at or above previous score.

Benefits

  • Coordinates staff schedules to ensure appropriate staff levels are maintained and proper coverage is provided for PTO, sickness and emergencies.

This listing is sourced directly from SPS-North America's careers page and normalized into a canonical job model.