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职位Amazon

Ads Account Executive, HL/SL

Amazon

Ads Account Executive, HL/SL

Amazon

Sao Paulo, SP, BRA

·

On-site

·

Full-time

·

3w 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 an Advertising Sales, Account Executive, you will use your experience selling digital advertising solutions to large advertisers and their ad agencies in Brazil 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.

Amazon is an equal opportunity employer and hires qualified individuals regardless of gender, race, sexual orientation, religion, nationality, age or disability.

Work hard. Have fun. Make history.

Job Location: Sao Paulo, Brazil

Basic Qualifications

  • Fluency in English and Portuguese, both written and spoken · Bachelor's degree or certificate of completion of studies · Marketing, Advertising, Media and/or Online Advertising experience · Experience working closely with brands and agencies · Experience with data analysis and problem solving · Ability to interact with a broad set of businesses and presenting both over the phone and in person · Excellent written and verbal communication skills, strong attention to detail, and good follow-through

Preferred Qualifications

  • Ability to interact with a broad set of businesses and presenting both over the phone and in person · Excellent written and verbal communication skills, strong attention to detail, and good follow-through · Experience on selling search advertising, and/or data driven ad products or platforms · Experience relating to e Commerce

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

2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