Managed Payroll Specialist
Quick Summary
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Managed Payroll Specialist based in the United States.
This is a US-remote, client-facing payroll role responsible for delivering accurate and compliant payroll services to a portfolio of complex customers.
You’ll own the end-to-end payroll cycle, from data collection and validation through approvals and final accuracy checks.
As a trusted payroll advisor, you’ll manage customer relationships, resolve nuanced issues, and communicate proactively throughout each pay cycle.
The role combines payroll expertise with problem-solving, technology, process improvement, and service excellence.
You’ll also contribute to improving systems, automation, AI-assisted workflows, and operational processes as the managed payroll offering continues to scale.
As a senior team member, you’ll mentor colleagues, handle escalations, and help establish stronger standards for quality and compliance.
This opportunity is ideal for an experienced payroll professional who thrives in a fast-paced, evolving environment and enjoys improving how payroll is delivered.
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Own the end-to-end payroll cycle for a portfolio of complex US customers, including data collection, pre-validation, data entry, approval coordination, and final accuracy checks.
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Conduct proactive pre-payroll reviews to identify issues such as unapproved timecards, onboarding gaps, pending time off, variable compensation changes, and other factors that could affect payroll delivery.
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Serve as the primary point of contact for assigned customers, providing clear, proactive, and professional communication throughout each pay cycle.
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Manage complex or high-risk payroll escalations, applying sound judgment and customer empathy to drive issues through to resolution.
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Partner with Product, Engineering, Implementation, Customer Support, and Sales teams to communicate customer needs, document edge cases, support implementations, and assess Managed Payroll requirements.
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Identify recurring issues and opportunities to improve processes, tooling, automation, and AI-assisted workflows.
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Contribute to and maintain standard operating procedures and scalable processes that strengthen service quality, compliance, and auditability.
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Mentor payroll specialists and contribute to training resources and knowledge-sharing initiatives.
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Help continuously improve the Managed Payroll program by translating customer feedback and operational insights into better systems and service delivery.
Requirements
~1 min read-
4+ years of hands-on US managed payroll experience, ideally involving multi-client and multi-state payroll processing.
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Strong knowledge of federal and state payroll regulations and core US payroll concepts, including tax withholding, garnishments, benefits deductions, and leave compliance.
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Demonstrated ability to manage client-facing relationships with clear, proactive, professional, and empathetic communication.
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Strong analytical and problem-solving skills, with the ability to manage nuanced payroll scenarios and make sound independent decisions.
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Comfortable working in a fast-moving and evolving environment where priorities can shift and processes may continue to develop.
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A proactive, adaptable mindset with the ability to identify interim solutions, navigate ambiguity, and contribute to improving operational playbooks.
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Genuine comfort with technology and interest in using automation and AI-assisted workflows to improve payroll operations.
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Proficiency with Google Workspace or Microsoft Excel; experience with Salesforce or Jira is a plus.
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Experience working in a SaaS or HRIS environment is highly desirable.
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FPC or CPP certification is a strong plus.
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Strong attention to detail and a commitment to accuracy, compliance, auditability, and high-quality customer service.
What We Offer
~2 min readLocation & Eligibility
Listing Details
- Posted
- October 6, 2026
- First seen
- October 6, 2026
- Last seen
- October 6, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 68%
- Scored at
- October 6, 2026
Signal breakdown
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