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트렌딩 기업

트렌딩 기업

채용

채용Amazon

Sales Account Manager, Theatrical

Amazon

Sales Account Manager, Theatrical

Amazon

Toronto, ON, CAN

·

On-site

·

Full-time

·

2w ago

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

  • Bachelor's degree in Economics, Marketing, Advertising, Statistics, Engineering, or Business
  • Experience working with data and leveraging analytics to make decisions
  • Experience interpreting data and making business recommendations
  • 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 with written and verbal communication and presentation

Preferred Qualifications

  • Experience working in a customer-facing role
  • Knowledge of digital media (e.g. DSPs, programmatic media, premium digital video, performance advertising)
  • Experience meeting revenue targets and quotas
  • MBA, or experience with sales CRM tools such as Salesforce or similar software
  • 3+ years of digital media/marketing strategy, data analysis, analytics & visualization experience

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 - 80,600.00 - 120,800.00 CAD annually

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Amazon 소개

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+

직원 수

Seattle

본사 위치

$1.5T

기업 가치

리뷰

2.9

10개 리뷰

워라밸

2.8

보상

3.7

문화

2.5

커리어

2.3

경영진

2.1

35%

친구에게 추천

장점

Good pay and compensation

Strong benefits package

Flexible scheduling options

단점

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

연봉 정보

4개 데이터

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0개 리포트

$108,330

총 연봉

기본급

$43,332

주식

$54,165

보너스

$10,833

$75,831

$140,829

면접 경험

10개 면접

난이도

3.7

/ 5

소요 기간

21-35주

합격률

20%

경험

긍정 10%

보통 10%

부정 80%

면접 과정

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge