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Sales Compensation Design Lead, Amazon Ads, Sales Incentive Compensation

Amazon

Sales Compensation Design Lead, Amazon Ads, Sales Incentive Compensation

Amazon

Seattle, WA, USA

·

On-site

·

Full-time

·

3w ago

Compensation

$133,900 - $199,300

Benefits & Perks

Healthcare

401(k)

Equity

Paid Time Off

Parental Leave

Mental Health

Healthcare

401k

Equity

Parental Leave

Mental Health

Required Skills

Sales Compensation

Sales Operations

Data Analysis

Business Acumen

Amazon Advertising is seeking a Sales Compensation Design leader for its rapidly growing Global Advertising business. The ideal candidate is curious with strong business acumen, a relationship builder with the ability to influence senior stakeholders, and an analytical thinker that dives deep into problem solving. They thrive in a fast-paced dynamic environment, have excellent written and verbal communication, are detail-oriented and comfortable working with numerous stakeholders in an environment with considerable ambiguity.

The successful candidate will have deep experience in sales compensation or sales operations programs, designing solutions to support high growth. They should be able to juggle competing projects, design (and implement) sales incentive plans to support sales strategies, and work across multiple teams to solve complex problems. This person will work closely with the Sales leaders, Finance, Sales Operations, HR, Corporate Compensation and other Amazon partner teams to negotiate, design, and deploy sales incentive programs.

Specific Responsibilities:

  • Lead sales incentive design for Global sales team(s)
  • Engage in leadership discussions about sales strategy and sales incentives, influencing at high levels of the organization, using data analysis and compensation best practices, and ensuring agreements are reached.
  • Act as an internal consultant to sales leadership on sales strategies, enabling these through incentive plan design and implementation.
  • Orchestrate the sales incentives design process, ensuring partners and stakeholders participation, as well as timely decisions/conclusions, so downstream processes can be completed.
  • Propose and present ideas effectively, in writing, influencing decisions, senior decision makers, and outcomes within tight timelines.
  • Use data and analysis to model incentive plan effects and to make recommendations.
  • Lead sales readiness related to incentive program design, including content strategy and training delivery.
  • Ensure sales incentive plans are implementable via tools, process, and controls.

Basic Qualifications

  • Bachelor's degree or equivalent
  • 5+ Years of Sales Compensation or Sales Operations Experience

Preferred Qualifications

  • Experience presenting to senior leadership

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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 and restricted stock units (RSUs). 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, CA, Culver City - 133,900.00 - 181,200.00 USD annually
USA, NY, New York - 147,300.00 - 199,300.00 USD annually
USA, WA, Seattle - 133,900.00 - 181,200.00 USD annually

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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

M3

M4

M5

M6

Intern

L2 · Revenue Operations L2

0 reports

$163,421

total / year

Base

$65,368

Stock

$81,711

Bonus

$16,342

$114,395

$212,447

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