Senior Process Engineer, Workforce Staffing

At Amazon, we are working to be the most customer centric company on earth. To get there, we need exceptionally talented, bright, driven, and diverse leaders. Workforce Staffing (WFS) is Amazon's high volume hiring engine, responsible for attracting, hiring, and onboarding hundreds of thousands of associates annually across global operations. WFS partners with Operations, People Experience and Technology (PXT), Finance, and Technology teams to deliver a world class candidate and associate experience while continuously driving down cost per hire and improving quality of hire through process innovation, operational rigor, and data driven decision making.

The Process Engineering team within WFS Transformations is a globally diverse group of operational leaders driving process stabilization, standardization, and continuous improvement across the WFS network. This team is essential to establish and execute benchmark operating standards, accelerate implementation of technology advancements and AI driven automation, and strengthen process knowledge for operational leaders across WFS programs globally. As WFS continues to rapidly scale and infuse the organization with new talent, we need to ensure operations teams are equipped with the needed process knowledge, established standards, and benchmark practices for great process control. The team utilizes tools to understand process control and establish process understanding with the outcome of minimizing variation between programs, regions, and global teams by driving standard operating procedures to deliver strong performance.


Key job responsibilities
Set the strategic direction for process engineering across WFS, defining the multi-year roadmap for variation reduction, automation, and AI adoption. Influence senior leadership on prioritization, investment decisions, and resource allocation.

Serve as the connective tissue between field operations, technology, continuous improvement, program management, and leadership — translating field-level insights into strategic recommendations while converting leadership vision into actionable engineering solutions.

Engineer and optimize both FC manufacturing processes (onboarding stations, hiring event layouts, orientation flows) and corporate workflows (requisition management, candidate pipelines, compliance reporting) using Lean, Six Sigma, and simulation-based capacity analysis.

Champion AI, machine learning, and intelligent automation opportunities across recruiting workflows. Build business cases, design automation solutions, and lead technology implementations including ATS, workforce management tools, and AI-enabled platforms.

Build scalable frameworks and methodologies that enable program managers, field leaders, and operational teams to independently apply process engineering principles.

Establish and mature a Quality Management System (QMS), lead audits, and drive continuous improvement globally. Own executive reporting on variation reduction impacts and contribute to OP1/OP2 planning.

Lead cross-functional initiatives, program launches, and mentor process engineers on methodology.

Travel up to 50% to FCs and WFS locations globally.

A day in the life
No two days look the same. Monday, you're presenting a variation reduction strategy to a VP. Tuesday, you're on-site at a Fulfillment Center conducting a tact time study during a hiring event. Wednesday, you're aligning a technology team and field operators. Thursday, you're building the automation that eliminates the manual process they were debating.

You'll move fluidly between the manufacturing floor and corporate office, setting engineering vision, mentoring junior engineers, influencing senior leaders, and building scalable frameworks — always connecting strategy to execution and enabling others to succeed.

BASIC QUALIFICATIONS

- Bachelor's degree or equivalent in Business, Program Management, Human Resources, Employment Law, Computer Science, Finance, Computer Information Systems, Engineering, Operations Research or a related field
- 7+ years of experience in process engineering, process improvement, or operations management
- Experience driving AI capabilities and applying artificial intelligence or machine learning to improve operational processes
- Demonstrated ability to use data to identify process bottlenecks, quantify improvement impact, and track program outcomes
- Experience mentoring or developing other engineers or program managers

PREFERRED QUALIFICATIONS

- Experience managing or developing a team of process engineers or operational specialists

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers.