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.

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 prioritisation, 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 optimise 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, programme launches and mentor process engineers on methodology.

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

No two days look the same. Monday, you’re presenting a variation reduction strategy to a VP. Tuesday, you’re on site at a Fulfilment Centre 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.

• 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 programme outcomes
• Experience mentoring or developing other engineers or programme managers

• 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.

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