Sales Compensation Specialist

4 days ago

San Francisco, California, United States Amazon Full time
About the Role:

We are seeking a highly skilled Sales Compensation Specialist to join our team at Amazon. As a key member of our Global Sales Compensation team, you will play a critical role in enabling data-driven decisions, improving insights, and leading high-visibility projects. Your expertise will be essential in managing key annual planning and in-year projects, partnering with diverse stakeholders, and driving sales performance.

Key Responsibilities:
  • Partner with sales leaders and teams to support annual and in-year incentive plan outcomes
  • Conduct data-driven compensation effectiveness to support GTM plans
  • Simulate and forecast compensation scenarios for annual planning and in-year deliberations
  • Review, design, and recommend plan mechanics that encourage sales performance
  • Cost and administer in-plan and above-plan incentives (e.g., SPIF, MBO, KSO, Quotas)
  • Support financial budgeting and forecasting processes across the total portfolio
  • Generate reporting and insights to present sales compensation results/outcomes
  • Support functional teams across sales planning, compensation, quota, policy, and operations
  • Function as a subject matter expert on all sales planning and compensation outcomes
About the Team:

The Global Sales Compensation team is a vital partner to our global sales organization. We lead the design, administration, and continual optimization of incentive plans that motivate our field teams. As Amazon continues its rapid growth, this team plays a critical role in scaling processes, enabling intelligent outcomes in support of thousands of sellers across numerous industries, geographies, and product lines.

About Amazon:

Amazon is committed to a diverse and inclusive workplace. We value diverse experiences and encourage candidates to apply, even if they do not meet all of the preferred qualifications and skills listed in the job description. If your career is just starting, has not followed a traditional path, or includes alternative experiences, do not let it stop you from applying.

Why Amazon?

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, which is why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture:

At Amazon, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth:

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance:

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

About Sales, Marketing, and Global Services (SMGS):

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest-growing small- and mid-market accounts to enterprise-level customers, including public sector.

Basic Qualifications:
  • Bachelor's Degree in Business, Finance, Computer Science, Data Science, Engineering, Economics, or related field
  • 5+ years of sales compensation, sales operations, finance, or equivalent experience
  • 5+ years of experience in data modeling, visualization, and/or statistical forecasting using software packages such as SQL, R, Python, or equivalent
Preferred Qualifications:
  • Advanced Microsoft Excel experience (Macros, Pivots, Lookups, Arrays)
  • 5+ years of experience working in a large or highly matrixed organization, preferably in the technology industry
  • 3+ years of project or program leadership/management experience or equivalent
  • 3+ years of delivering data analytics projects from concept to deployment
  • Experience presenting to senior leadership

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