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Seller Consultant, CN2BR NSR Team
Amazon is looking for a smart and ambitious Seller Consultant to join its China team. The objective of the Sales Consultant is to deliver new business growth and maximize revenue generation across Amazon's suite of products for merchants. Recruiting and launching sellers on Amazon's global marketplaces. You will analyze traffic and sales data to identify opportunities to help sellers succeed on the marketplaces.
Your superior communication, organizational and technical skills will enable you to operate in a fast-moving and sometimes ambiguous environment, where you will have the autonomy to take full control and responsibility for achieving our business objectives.
Specific Responsibilities include:
- Develop a category recruitment strategy by analyzing the competitive landscape and defining new products' value proposition.
- Identify, recruit and support sellers of various types (SMEs to large retailers) to execute on aggressive growth plans.
- Review and monitor performance and sales of Amazon's partners in order to provide them with consulting advice to grow their business.
- Feed back to other teams within Amazon worldwide lessons learned during project implementation and post-live support phases.
- Coordinate and lead project with cross function teams and deliver result with stakeholders
Basic Qualifications
- Bachelor's degree or above
- Experience in English-language communication skills, both written and verbal
- 3+ years of business development, or account management with a proven ability to deliver results experience
- Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience in managing and troublshooting network
- Experience managing or supporting strategic accounts and well-known brands, with an understanding of complex stakeholder environments and long-term value creation.
- Ability to prioritize and manage multiple workstreams in a fast-paced, ambiguous environment, and collaborate effectively with cross-functional teams such as Sales, Marketing, Product, Operations, and Data.
- Demonstrated capability to initiate, lead, and drive projects beyond core responsibilities, showing ownership, influence, and impact.
- Digital and AI fluency, including proficiency in modern productivity and collaboration tools (e.g., presentations, data analysis, dashboards), and the ability to leverage AI tools and data insights to improve efficiency, decision-making, and business performance.
Preferred Qualifications
- Strong willingness to learn new things preferred. 乐于学习新事物者优先。
- Strong ability to work independently and think critically. 能独立胜任工作,有批判思维精神者优先。
- Experience with e-commerce or retail would be an advantage. 具有跨境电商经验者优先。
- Experience influencing and organizing others, whether in a direct management capacity or through experience managing projects. 具有项目管理经验优先。
- Strong ability of data mining and analysis 数据挖掘和分析能力强者优先。
- Have emerging market related working experience 有与新兴市场/拉美市场相关的工作经验优先。
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
M3
M4
M5
M6
L3
L4
L5
L2 · Sales L2
0 reports
$183,390
total per year
Base
$73,356
Stock
$91,695
Bonus
$18,339
$128,373
$238,407
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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