채용

Advertising Account Manager, CN Large Customer, Amazon Ads
Shanghai, 31, CHN
·
On-site
·
Full-time
·
1mo ago
Benefits & Perks
•Competitive salary and equity package
•Comprehensive health, dental, and vision insurance
•401(k) matching
•Parental leave
•Equity
•Healthcare
•Parental Leave
Required Skills
PostgreSQL
React
JavaScript
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
- 3+ 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
- Experience with annual brand and media planning
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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