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Advertising Sales - Account Executive

Amazon

Advertising Sales - Account Executive

Amazon

Mexico City, MEX

·

On-site

·

Full-time

·

1w ago

Amazon Ads helps brands create experiences that delight customers and deliver meaningful results. With 300+ million worldwide active customer accounts, and first-party insights based on shopping, streaming and browsing signals, brands can craft relevant campaigns that enhance customer experiences. Our solutions on Amazon.com, services like Twitch, IMDb T V, Alexa, Amazon Music, and partnerships with third-party publishers and exchanges make Amazon Ads the ultimate amplifier for brands to reach the right audiences in the right places, both on and off Amazon.

As a Senior Advertising Sales Manager on our Ad Sales team in Mexico, you will use your experience selling digital advertising solutions to large advertisers and their ad agencies in Mexico to successfully grow and scale the domestic revenues. Through client-side and agency relationships, a consultative approach and understanding of the digital advertising landscape, you will act as a strategic partner to your assigned brands or clients and sell a broad range of advertising solutions that will ensure that their business goals are met. You will further use your cold-calling, networking and prospecting skills to identify, develop and manage new accounts or brands that will complement our existing roster and help you reach your personal revenue targets. As an individual contributor, you’ll be supported by our operations team and will benefit from working alongside the leadership team that has charted our explosive growth.

Job Location: Mexico City, Mexico

Basic Qualifications

  • Speak, write, and read fluently in English
  • Bachelor's degree
  • 8+ years of industry work experience
  • 5+ years of marketing, brand advertising, media sales or online advertising work and close work with senior advertisers and agency stakeholders experience
  • Experience building deep client and agency relationships
  • 5+ years of data analysis using tools such as Excel, Pivot Tables, SQL, Tableau, or equivalent experience

Preferred Qualifications

  • Experience interacting with a broad set of businesses and presenting both over the phone and in person
  • Experience that includes strong analytical skills, attention to detail, and effective communication abilities
  • 4+ years of selling programmatic or data driven ad products or platforms experience
  • Experience in e-commerce, retail or advertising

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

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+

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