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Area Manager, Reverse Logistics Operations
We are seeking a results-oriented Area Manager to supervise daily operations at our reverse logistics site. This role requires a data-driven professional who is focused on process execution and continuous improvement while demonstrating strong people leadership. The ideal candidate will show capabilities that raise the bar, combining hands-on operational management with team development and process optimization.
As an Area Manager, you will directly supervise a team of associates responsible for processing returned items, vendor returns, and asset recovery operations. You'll ensure your team executes RMA processing, failure analysis, sorting, and vendor management activities while meeting quality standards and operational metrics. This role demands someone who can lead by example on the floor, make quick decisions to resolve issues, and develop team members in a fast-paced, 24/7 operational environment.
This position requires flexibility to work rotating day and night shifts with 12-hour shift schedules, including weekends and holidays as needed to support continuous operations.
- Key job responsibilities
- Directly supervise a team of associates in reverse logistics operations including failed gear sorting, RMA processing, vendor returns, and asset recovery
- Maintain active presence on the operations floor for up to 12 hours per shift, leading by example and providing hands-on support
- Monitor work queues and service level agreement (SLA) adherence to ensure timely processing of returns and vendor shipments
- Audit employees work to ensure results meet quality standards and operational requirements
- Use data and metrics to identify priorities and determine when situations require deep dives versus quick resolution
- Identify and recommend improvements to tools, procedures, and workflows to enhance operational efficiency
- Manage straightforward operational problems and escalate roadblocks and risks appropriately
- Conduct regular team meetings, daily huddles, and shift briefings to communicate priorities and performance
- Provide coaching, feedback, and on-the-job training to develop team member skills and capabilities
- Support hiring activities and onboard new team members using established training materials
- Ensure compliance with safety protocols, quality standards, and operational procedures
- Facilitate effective shift handoffs to maintain operational continuity across day and night operations
- Track and report on key performance indicators (KPIs) including throughput, quality, and safety metrics
A day in the life
This position is designed for emerging leaders ready to take ownership of team performance and operational outcomes. You'll be expected to not only supervise daily activities but also optimize workflows, use data to drive decisions, and develop your team members' capabilities. We're looking for someone who can lead from the front, solve problems independently, and demonstrate the data-driven, people-oriented leadership that defines Amazon's operational excellence—all while maintaining high standards across demanding 12-hour shifts in a 24/7 environment.
Physical Requirements:
- Ability to stand, walk, and move throughout the facility for up to 12 hours per shift
- Comfortable working in a warehouse environment with varying temperatures
- Ability to occasionally lift or move items up to 49 pounds
- Ability to work rotating day/night shifts, weekends, and holidays as required by operational needs
Basic Qualifications
- High school diploma, or equivalent
- Experience using data and metrics to determine and drive improvements
- Experience within a distribution center, logistics, or manufacturing environment
- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
- Knowledge of MS Excel, Word, and Windows Operating Systems
- Experience in operational logistics/supply chain, manufacturing, transportation, general management or an engineering role
- Experience in people management and team development
Preferred Qualifications
- Bachelor's degree in Business, Operations, Supply Chain Management, Engineering, or a related field
- Experience as a logistics professional supporting inventory cycle counts, shipments, maintenance, stock control functions and reverse logistics
- Knowledge of Lean methodologies
- Knowledge of Warehouse Management System Software including Warehouse control systems
- Knowledge of Excel skills to be able to refine data and prepare business reports
- Experience in defining and implementing process improvement initiatives using data and metrics
- Experience communicating clearly and concisely with leadership, stakeholders, and cross-functional teams
- Experience in complex problem solving, and working in a tight schedule environment
- Experience in Business English skills, both verbal and written
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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关于Amazon

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
员工数
Seattle
总部位置
$1.5T
企业估值
评价
10条评价
3.4
10条评价
工作生活平衡
2.5
薪酬
4.2
企业文化
3.0
职业发展
3.8
管理层
2.7
65%
推荐率
优点
Great benefits and competitive pay
Learning and advancement opportunities
Good teamwork and colleagues
缺点
High pressure and long hours
Poor work-life balance
Toxic work culture and management issues
薪资范围
4个数据点
Junior/L3
L2
L6
M3
M4
M5
M6
Intern
L3
L4
L5
Junior/L3 · Warehouse
1份报告
$30,509
年薪总额
基本工资
$23,546
股票
-
奖金
-
$30,509
$30,509
面试评价
6条评价
难度
4.0
/ 5
时长
21-35周
体验
正面 0%
中性 17%
负面 83%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Technical Interview
6
Onsite/Virtual Interviews
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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