招聘
Amazon Ads creates customer-focused search and advertising solutions and technologies. Our Ad Tech team builds the technology infrastructure and ad serving systems to manage billions of advertising queries every day. The result is better quality advertising for publishers and more relevant ads for customers. Our infrastructure supports millions of Internet users and handles billions of queries per day, all delivered in milliseconds. Our data platform processes massive data sets to develop business intelligence and analytics that are critical for the efficiency and profitability of our advertising business.
In this organisation you’ll experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging the resources of Amazon. We provide a highly customer-obsessed, team-oriented environment in our offices located in London, San Francisco, Santa Monica and New York City. We are seeking a Strategic Account Manager to join the Amazon Publisher Services team to help build industry-leading solutions for publishers. In this role, you will have the opportunity to join Amazon’s quickly growing advertising business, own strategic relationships with mid-sized publishers, and drive strategy and adoption of our industry-leading publisher solutions.
- Key job responsibilities
- Manage relationships with our web, mobile and connected TV (CTV) publishers.
- Oversee onboarding of new publisher supply and proactively find and execute optimization opportunities using data-led insights and AI-powered tools.
- Monitor and maintain supply quality standards to ensure third-party inventory delivers high value for Amazon advertisers
- Successfully launch new publisher products, share publisher and overall marketplace feedback and guide publisher program strategy through cross-functional collaboration.
- Employ consultative, long-term approach and build productive relationships with publishers as a trusted strategic advisor.
- Innovate, develop, and iterate on services based on customer feedback and emerging industry trends.
- Translate market feedback into product requirements, and collect market intelligence to help guide the overall direction of the program.
- Partner with Product Managers, Solutions Architects to help them troubleshoot customer issues and drive technical solutions.
- Analyze performance data and provide data-led insights to improve our advertising programs and maximize publisher revenue.
- Work with internal teams to guide inventory allocation and optimize supply path strategies.
Basic Qualifications
- Experience in digital advertising and client facing roles
- Experience analyzing data and best practices to assess performance drivers
- Experience in optimising products and services based on client needs
Preferred Qualifications
- Experience managing mid-sized publishers and deep understanding of publisher challenges including monetization strategies, supply path optimization, and programmatic advertising.
- Excellent quantitative and analytical skills, being comfortable with pulling reports, diving deep into the data, and analyzing trends using tools like SQL, Excel, or BI platforms.
- Proven verbal and written communication skills, ability to effectively communicate across a broad range of technical and non-technical stakeholders.
- Experience diagnosing and resolving technical issues in collaboration with Product Management and Engineering teams.
- Customer-driven product thinking and ability to identify and prioritize product requests that drive measurable business outcomes.
- Team player with proven influence and collaboration skills.
- Knowledge of programmatic advertising space, header bidding, supply-side platforms (SSPs), demand-side platforms (DSPs), real-time bidding (RTB), and emerging ad tech solutions including CTV and retail media networks.
- Proactive attitude with excellent project management, organizational, and analytical skills.
- Experience with supply quality initiatives and brand safety standards.
- Familiarity with privacy regulations (GDPR, CCPA) and their impact on digital advertising.
- Track record of driving revenue growth and improving key performance metrics (eCPM, fill rate, win rate) for publisher partners.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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
PublicAmazon.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
3.4
10条评价
工作生活平衡
2.3
薪酬
4.2
企业文化
3.1
职业发展
3.8
管理层
2.7
65%
推荐给朋友
优点
Great benefits and competitive compensation
Learning opportunities and career advancement
Good teamwork and colleagues
缺点
High pressure and long hours
Poor work-life balance
Toxic work culture and high turnover
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
6次面试
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
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