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At Amazon we're working to be the most Customer-centric company on earth and we are constantly improving how we fulfill and deliver customer orders. Our goal is to exceed expectations by continually striving to innovate and provide best in class customer support as we expand our logistics products and services. To improve the customer experience we are establishing a group of delivery station based customer service associates that enables real-time, hands-on investigation of where a package is and how Amazon can get it to a customer as quickly as possible. Additionally, it provides customer access to local experts who can provide them the most accurate and up-to-date information about their packages and how Amazon is resolving potential delivery issues affecting them.
Delivery Station Liaison team is looking for a Team Manager to help pioneer this new method of customer service across Mexico. In this role, you will be managing a team of (15-20) In-Station Customer Support Associates who provide local customer service for Amazon Customers serviced by Amazon Logistics Delivery Stations. Your team of associates will be based across multiple locations in your region. In the role you will be responsible for the overall performance and operational delivery of our In-Station Customer Support Associates across multiple Delivery Station locations in your region. This role will require you to work with key support functions such as Delivery Station Operations, Program Managers, Recruiting, and Human Resources to review performance trends and opportunities and take continual action to improve the service level and quality of performance. Experience with operational management and process improvement is an asset and you should be comfortable with making decisions in the midst of ambiguity. Developing positive working relationships with your team and collaborating across multiple teams will be important for success in this role.
This individual must be able to commute to and work from one of Amazon’s existing MX delivery stations and be willing to travel as needed (25% travel expected).
Key job responsibilities
Support a remote team and champion the following competencies:
- Team Engagement
- Process Improvement
- Performance Management
- Assist in DSL Project's/committee's
- Drive Team Performance
- Bridge gaps between performance & goals weekly
- Development of direct reports
- Build/maintain station relationships
- Deep Dive trends in data reporting
About the team
Inclusive team culture
At Amazon we embrace our differences and we are committed to furthering our culture of inclusion. We host annual and ongoing learning experiences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work Life Balance:
We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth:
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional.
Basic Qualifications
- Speak, write, and read fluently in English
- Work flexible shifts including night shifts/weekends
- Bachelor's degree or equivalent
- 1 year of previous experience implementing change management successfully transitioning programs into large scale operations.
- Ability to travel 25% of the time
- +1 year of experience demonstrating leadership and people management in Customer Service or customer facing roles
- +1 year of experience managing remote team members
- +2 YOE managing remote team members
Preferred Qualifications
- Experience in operations management of fulfillment or distribution centers
- Experience in project management including resource planning, managing schedules, reporting project status and prioritizing tasks
- Experience communicating complex business concepts in verbal and written form
- Experience identifying and resolving complex issues
- Considers others perspectives while leveraging data and anecdotes to determine path forward; conduct root cause analysis; contributes to short- and long-term initiatives and goals; prioritize key factors; act decisively, promptly and confidently Amazon is committed to a diverse and inclusive workplace.
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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About 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+
Employees
Seattle
Headquarters
Reviews
2.9
10 reviews
Work Life Balance
2.8
Compensation
3.7
Culture
2.5
Career
2.3
Management
2.1
35%
Recommend to a Friend
Pros
Good pay and compensation
Strong benefits package
Flexible scheduling options
Cons
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
Salary Ranges
2 data points
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0 reports
$108,330
total / year
Base
$43,332
Stock
$54,165
Bonus
$10,833
$75,831
$140,829
Interview Experience
10 interviews
Difficulty
3.7
/ 5
Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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