PEO Customer Success Specialist

About the role

Niural is a modern global payroll platform offering US Payroll, US PEO, Global EOR, Global payroll, and Global Contractor management. We provide a net new experience for clients with our own payroll tax engine and modern payment rails, committed to redefining business operations through AI.

Key Responsibilities

• Serve as the main point of contact for existing payroll clients, providing exceptional customer service and support.
• Maintain and build client relationships.
• Respond to and resolve client inquiries related to payroll, taxes, and benefits in a timely and professional manner.
• Aid client employees with payroll and benefits-related questions.
• Collaborate closely with internal teams (payroll operations, benefits, engineering, and sales) to investigate and resolve client issues efficiently.
• Maintain accurate client records, document interactions, and ensure compliance with internal processes and payroll regulations.
• Suggest workflow improvements to enhance accuracy, efficiency, and client experience.
• Work with engineering to provide feedback on client pain points and product improvements.
• Monitor payroll deadlines.
• Review and audit payroll data for accuracy.
• Audit monthly client payroll invoices.
• Help build and maintain internal knowledge bases, FAQs, or client resources.
• Support clients during annual open enrollment.
• Process and report new hires to the appropriate state agencies.
• Monitor client tax setups and add new states to the client accounts when applicable.
• Process EOR salary updates.
• Process Canada and US EOR payrolls.
• Assist payroll operations with special projects as needed.

Requirements

• At least 2 years of PEO payroll experience.
• Strong understanding of payroll processes, tax compliance, and benefits administration.
• Experience handling client inquiries related to payroll and benefits.
• CPP or FPC certification preferred.
• Experience with US and Canada payroll processing preferred.
• Ability to audit payroll data with strong attention to detail.

Compensation Range

$60K - $85K