Process Engineer, Workforce Staffing

Key job 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

Basic Qualifications

• Bachelor's degree, or 2+ years of Amazon (blue badge/FTE) experience
• Six Sigma Green Belt
• 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
• 5+ years of experience in process engineering, process improvement, or operations management

Preferred Qualifications

• Six Sigma Black Belt certification
• Experience using MS Excel, MS Project, AutoCAD and commercial off-the-shelf technologies such as Tableau, SQL, or equivalent
• Experience in high volume recruiting, workforce staffing, or HR operations at scale
• Experience with HR technology platforms (applicant tracking systems, HRIS, workforce management tools)
• Experience with FMEA, control plans, COPQ analysis, or equivalent quality engineering tools
• Familiarity with Amazon's writing culture and document-driven decision making