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A fast-growing technology organization is seeking a Staff Product Manager to lead the strategy and execution of labor time tracking and payroll systems. This role involves defining the product vision and enhancing user experiences for both field and back-office operations. The ideal candidate will have 5+ years of product management experience in data-sensitive product areas and will work cross-functionally to deliver impactful solutions. Remote flexibility is offered in this high-impact role.
Client: Our Client
Position: Staff Product Manager, Labor Time Tracking & Payroll
Our Client is seeking a Staff Product Manager to own the strategy, execution, and evolution of the labor time tracking, payroll readiness, labor costing, and mobile time-entry product domains. This senior individual-contributor role is responsible for defining the product vision, improving financial accuracy, and delivering seamless experiences for both field and back-office users.
Our Client is a fast-growing technology organization serving operationally complex industries. The company builds modern software solutions that streamline field and office workflows, enabling customers to run more efficient and more profitable operations. This role joins a rapidly scaling product team that values strong execution, deep domain understanding, and collaborative leadership.
The Staff Product Manager will lead all product areas related to Labor Time Tracking, Payroll Readiness, Labor Costing, mobile worker experiences, financial data workflows, and supporting APIs and integrations. This includes ownership of time capture, approvals, exceptions, audit trails, and the data foundation required for payroll accuracy and costing integrity.
This position serves as the senior individual-contributor authority across all payroll and time-tracking workflows. Intake guidance indicates that priority areas may include integrations, mobile UX, costing accuracy, and API expansion. Year-one outcomes should emphasize reducing payroll-cycle friction, improving integration reliability, and strengthening labor data quality.
Nice to Have: