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Customer Growth Manager I, Amazon Shipping
This is an exciting opportunity to join a new emerging business in transportation. We are a startup team looking for a highly driven, entrepreneurial, analytical and customer-obsessed Customer Growth Manager (CGM) to provide operational and relationship support to high-volume shippers. This role plays a critical part in ensuring the success and satisfaction of Amazon Shipping partners by managing key escalations, providing proactive insights, and delivering a seamless support experience.
The CGM will work closely with onshore CGMs.
Key job responsibilities
CGMs support shippers by resolving issues and driving improvements across six primary categories:
1. Pickup Support-Resolve missed, delayed, or urgent pickup requests. Minimize shipper disruptions through timely coordination and response
2. Tracking and Delivery Resolution- Investigate tracking anomalies and delivery delays. Provide clear and accurate updates to shippers. Support recipient satisfaction by resolving delivery concerns
3. Billing & Account Management-Address invoicing discrepancies and payment processing issues. Monitor invoice limits and account configurations. Manage updates to warehouse addresses and contact points
4. Claims Assistance-Guide shippers through the compensation process for lost, damaged, or delayed packages. Review denied claims and ensure adherence to Amazon policy
5. Proactive Account Optimization-Conduct data analysis to identify trends and growth opportunities. Deliver insights via Monthly Business Reviews (MBRs) and Quarterly Business Reviews (QBRs). Promote awareness and usage of self-service tools and best practices
6. Complex or Cross-functional Escalations- Manage escalations that span multiple functions or require unique resolution paths. Partner with internal teams to resolve issues such as property damage, vendor mis-shipments, drop trailer incidents, or API integration errors.
A day in the life
Engage both internally and externally to Amazon to understand key customer pain points and generate strategic and impactful solutions.
Basic Qualifications
- Bachelor's degree
- Speak, write, and read fluently in English
- Experience with sales CRM tools such as Salesforce or similar software
- Experience in setting up and managing a sales pipeline
- 1+ years of business development, partnership management, or sourcing new business experience
- 1+ years of business agreements development, negotiation and execution experience
Preferred Qualifications
- Experience interpreting data and making business recommendations
- Experience in online advertising or high-tech products/services
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
$1.5T
Valuation
Reviews
10 reviews
3.4
10 reviews
Work-life balance
2.5
Compensation
4.2
Culture
3.0
Career
3.8
Management
2.7
65%
Recommend to a friend
Pros
Great benefits and competitive pay
Learning and advancement opportunities
Good teamwork and colleagues
Cons
High pressure and long hours
Poor work-life balance
Toxic work culture and management issues
Salary Ranges
4 data points
L2
L6
L3
L4
L5
L2 · Data Analyst L2
0 reports
$108,330
total per year
Base
$43,332
Stock
$54,165
Bonus
$10,833
$75,831
$140,829
Interview experience
6 interviews
Difficulty
4.0
/ 5
Duration
21-35 weeks
Experience
Positive 0%
Neutral 17%
Negative 83%
Interview process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Technical Interview
6
Onsite/Virtual Interviews
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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