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Sales Account Manager - Amazon Ads, Theatrical/Streaming

Amazon

Sales Account Manager - Amazon Ads, Theatrical/Streaming

Amazon

Toronto, ON, CAN

·

On-site

·

Full-time

·

1mo ago

必备技能

Customer Service

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 Sales 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 a Sales Account Manager on our Theatrical/Streaming business, you manage and deliver against complex advertiser goals and problems to drive revenue and exceed 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, Ad Tech partners and will drive process improvement to gain efficiency and foster collaboration. The Sales Account Manager’s strategic digital and programmatic 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.
  • Develop 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 Sales and other Amazon partners to drive incremental revenue and increase advertiser satisfaction.

Basic Qualifications

  • 5+ years of digital media or marketing strategy, data analysis, analytics & visualization experience
  • Bachelor's degree in Economics, Marketing, Advertising, Statistics, Engineering, or Business
  • Experience working with data and leveraging analytics to make decisions
  • Experience analyzing large datasets and translating them to actionable business insight
  • Experience dealing well with ambiguity, prioritizing needs, and delivering measurable results in an agile environment
  • Experience prioritizing and handling multiple assignments at any given time while maintaining commitment to deadlines
  • Experience communicating to senior management and customers verbally and in writing

Preferred Qualifications

  • Experience working in a customer-facing role
  • Knowledge of digital media (e.g. DSPs, programmatic media, premium digital video, performance advertising)
  • Experience reaching and exceeding sales revenue goals
  • Experience with CRM tools like Salesforce

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. As a total compensation company, Amazon's package may include other elements such as sign-on payments, restricted stock units (RSUs), and sales incentives (where applicable). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.

CAN, ON, Toronto - 99,800.00 - 149,800.00 CAD annually

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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

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

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