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职位Amazon

Ads Account Manager - AB, CN Large Customer, Amazon Ads

Amazon

Ads Account Manager - AB, CN Large Customer, Amazon Ads

Amazon

Shanghai, 31, CHN

·

On-site

·

Full-time

·

4w ago

Amazon Ads is committed to delivering measurable outcomes for brands and agencies through innovative advertising solutions. Our offerings—including sponsored content, premium video, audio, and custom ads—with Amazon’s advertising technology and insights to effectively reach and engage with audiences. With flexible pricing and buying models, including self-service, managed service, and programmatic ad buying, our solutions empower businesses to build brand awareness, increase consideration, and drive transactions both on and off Amazon.

Our CN LCS team partners with large China-based advertisers and agencies to connect with Amazon customers worldwide, building strong brands across Amazon and beyond. This includes Amazon's owned and operated properties, high-quality sites across the internet, and millions of Kindles, tablets, and mobile devices. At Amazon, we start with the customer and work backward in everything we do, including advertising. If you’re eager to join a rapidly growing team dedicated to building a world-class advertising organization with a relentless focus on the customer, you’re in the right place. If you have a consultative approach, a proven track record in business development, and a passion for delivering strategic advertising solutions globally, we encourage you to apply today!

  • Key job responsibilities
  • Build and manage sustainable relationships with clients across different levels of decision-makers, understand and help define their business challenges, marketing objectives and success metrics
  • Support in achieving business growth goals through presenting Amazon Advertising solutions with in-depth insights that help clients to meet their business and marketing objectives
  • Perform insights-driven data analysis to deliver actionable short-term and long-term ads strategy to clients to address clients’ business challenges and marketing objectives, building objective-based brand planning and media planning, and driving sustainable ads performance.
  • Work cross-functionally with external and internal stakeholders to ensure workstreams are delivered to a high standard
  • Build in-depth knowledge of Amazon Advertising product suite and solutions, and applied with growth impact

Basic Qualifications

  • 5+ years of digital advertising and client facing roles experience
  • Experience in e-commerce or online advertising
  • Experience analyzing data and best practices to assess performance drivers

Preferred Qualifications

  • Can communicate effectively with all levels of the organization
  • Experience in problem solving and delivering results
  • Experience working with multiple groups of stakeholders

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

2.9

10条评价

工作生活平衡

2.8

薪酬

3.7

企业文化

2.5

职业发展

2.3

管理层

2.1

35%

推荐给朋友

优点

Good pay and compensation

Strong benefits package

Flexible scheduling options

缺点

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

薪资范围

4个数据点

L2

L3

L4

L5

L6

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

面试经验

10次面试

难度

3.7

/ 5

时长

21-35周

录用率

20%

体验

正面 10%

中性 10%

负面 80%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge