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Customer Growth Manager I, Amazon Shipping

职能客户经理
级别Lead级
地点San Jose, CRI
方式现场办公
类型全职
发布1个月前
立即申请

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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关于Amazon

Amazon

Amazon

Public

Amazon.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

L2

L6

L3

L4

L5

L2 · Data Analyst L2

0份报告

$108,330

年薪总额

基本工资

$43,332

股票

$54,165

奖金

$10,833

$75,831

$140,829

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