Description

About the Role:

AWS is looking for a Sr. Sales Compensation Specialist to enable data driven decisions, improve insights, reporting, lead high-visibility projects, and manage key annual planning and in-year projects at AWS. We are especially looking for builders – people who understand what it takes to transform a function and know how to implement scalable solutions and mechanisms to serve a rapidly growing and dynamic team. This role impacts every seller and requires strong collaboration with diverse stakeholders. The ideal candidate will excel in written and verbal communication, data analysis, modeling, and process improvements.

Key job responsibilities

• Partner across teams and sales leaders to support annual and in year incentive plan outcomes

• Conduct data driven compensation effectiveness to support GTM plan

• Simulate, 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 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 (GSC) 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 AWS continues its rapid growth, this team plays an important role in scaling processes, enabling intelligent outcomes in support of thousands of sellers across numerous industries, geographies, and product lines.

About AWS

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s 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

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower 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’ 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’ experience working in a large or highly matrixed organization, preferably in the technology industry.

• 3+ years project or program leadership/management experience or equivalent.

• 3+ years delivering data analytics projects from concept to deployment

• Experience presenting to senior leadership

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $120,500/year in our lowest geographic market up to $199,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.