招聘
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Paid Time Off
•Parental Leave
•Mental Health
•Healthcare
•401k
•Equity
•Parental Leave
•Mental Health
Required Skills
Digital marketing
Analytics
Sales
Omni-channel marketing
Problem solving
Amazon Advertising operates at the intersection of e Commerce and advertising, offering a rich array of advertising solutions. We partner with advertisers to reach Amazon customers on Amazon.com, across our other owned and operated sites, on other high quality sites across the web, and on millions of devices. If you’re interested in joining a rapidly growing organization working to build a unique, world-class advertising group with a relentless focus on the customer, you’ve come to the right place.
We’re looking for a results oriented Account Manager who is passionate about partnering with our advertisers, educating them and helping to solve ambiguous business problems, mitigating risks before they become roadblocks. As an Account Manager, you manage and deliver against complex advertiser goals and problems to drive revenue and achieve revenue targets. You nurture customer relationships and create revenue opportunities from the advertisers you own. You’ll not only dive deep into data to understand trends, but also communicate the “why” behind results and make actionable recommendations to internal and external stakeholders. Additionally, you’ll be able to leverage Amazon’s proprietary data to provide strategic and personalized recommendations, influencing both your internal team and your external customer to facilitate them reaching their business goals. This role is highly collaborative, working with Creative, Senior Sales, Product, and Retail partners and will drive process improvement to gain efficiency and foster collaboration. The Account Manager’s strategic digital expertise and influence is considered critical to unlocking greater value and impact for our advertisers.
Responsibilities:
- Become a knowledgeable partner and leader on Amazon Advertising solutions
- Deliver the highest level of sales and customer service to our clients.
- Retain and grow revenue from existing advertisers.
- Drive deals to closure in a new business environment.
- Develop annual media strategies for growth based on overall advertiser goals and objectives
- Develop campaign strategies and audience engagement recommendations
- Evaluate success metrics and drive campaign performance using data
- Perform in-depth data analysis to form and deliver actionable recommendations for both short- and long-term advertising strategy
- Educate advertisers on performance metrics, insights, and how to drive greater results
- Work cross-functionally with Senior Sales and other Amazon partners to drive incremental revenue and increase advertiser satisfaction
Basic Qualifications
- 4+ years relevant experience in a client facing role including but not limited to digital marketing, analytics etc.
- Experience in Omni-channel marketing, display, over-the-top (OTT), or search marketing
- Influence process improvement that scales broadly; inventing and simplifying within existing processes
- Adept at solving problems that span business and technology
Preferred Qualifications
- Experience in programmatic strategy and implementation
- 4-6 years work experience in Advertising with experience owning media buying/planning across digital advertising, e Commerce, and/or linear broadcast/streaming TV focused roles
- Bachelors’ degree in Economics, Marketing, Advertising, Statistics, Engineering or Business; MBA is a plus
- Excellent organizational, relationship-building, and communication (written and verbal) skills
- Proven track record of delivering results (including revenue targets) and significantly contributing to advertiser revenue growth
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments, restricted stock units (RSUs), and sales incentives. Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 85,800.00 - 150,100.00 USD annually
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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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