Process Engineer, Workforce Staffing

About the role

The Process Engineering team within WFS Transformations drives variation reduction, cost optimization, AI/automation innovation, and compliance across global recruiting operations. This role spans both the manufacturing floor and corporate office, requiring an engineer equally comfortable conducting a tact time study at an FC hiring event as they are mapping a corporate requisition approval workflow or building an automation to eliminate a manual reporting process.

Responsibilities

• Evaluating metrics across WFS programs and regions to identify improvement opportunities and prioritize against benchmark performance gaps
• Analyzing end-to-end recruiting workflows (attraction through Day 1) to optimize processes and reduce cost per hire
• Driving AI, machine learning, and automation solutions that eliminate manual effort and enable scaling without proportional headcount growth
• Applying Lean, Six Sigma, value stream mapping, and capacity analysis to drive operational excellence
• Conducting tact time studies, process mapping, and resource modeling to identify constraints
• Developing SOPs and engineering standards to maintain process control
• Training and partnering with operational leaders to drive standardization globally
• Integrating quality engineering (FMEA, control plans, COPQ) into workflow design and conducting process/quality audits
• Supporting program expansions, technology implementations, and QMS maturation
• Collaborating cross-functionally with Engineering, Tech, Learning, and Launch teams

Requirements

• Bachelor's degree, or 2+ years of Amazon (blue badge/FTE) experience
• Six Sigma Green Belt Experience
• Experience in Lean methodologies
• Experience collecting, analyzing, and utilizing data to drive process and system improvements
• Experience implementing repeatable processes and driving automation or standardization
• Experience in automation creation and implementation of automated workflows
• Experience driving AI capabilities and applying artificial intelligence or machine learning to improve operational processes
• Experience engineering processes in both manufacturing and corporate environments
• Experience working cross functionally with tech and non tech teams in a global environment

Qualifications

• 5+ years of experience in process engineering, process improvement, or operations management