Sales Compensation Analytics & Systems Specialist at Stripe. Analyzes sales performance data, designs compensation analytics frameworks, and manages the Incentive Compensation Management system to align sales team pay with performance metrics.
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
The Sales Compensation team at Stripe is responsible for the overall compensation strategy, design, and payment administration for the global sales organization. We ensure that Stripe's objectives align with the compensation program and that our sales teams are paid accurately and on time. We provide thought leadership for the go-to-market initiatives so that performance and compensation are effectively correlated. The Sales Compensation team partners closely with the revenue-generating and support functions across Stripe to support the success of our go-to-market efforts.
In this role, you'll digest critical data sets of our sales performance and correlation to variable compensation. The objective is to provide advanced analytics that translate raw trends into a compelling business narrative, synthesizing the strategic implications, quantifying the business impact, and prescribing actionable next steps to shape compensation strategies for our fast-growing sales force. As Stripe's sales teams and commercial strategy grow in size and complexity, this information is required to ensure we have industry-leading compensation mechanisms to motivate and reward our world-class sales organization.
An equally important component of your role is supporting the enhancement and use of our Incentive Compensation Management (ICM) tool. You'll work closely with our experienced product expert to ensure we use our ICM to its maximum capacity for compensation calculations and reporting.
You'll be equally passionate about data analytics and excel as a program management partner for a compensation system. You'll need experience working with significant autonomy to design an analytics framework for compensation performance measurement, as well as part of a team to support compensation calculations. You bring proven leverage of analytics and quantitative data to calculate and validate compensation. You also bring resilience and the ability to both partner and lead in cross-functional situations.
This role is based out of Stripe's South San Francisco, Chicago, or New York City offices.
• Monthly measurement of sales force quota attainment at varying degrees of granularity
• Monthly forecasting of compensation to target based on monthly quota attainment analysis
• Conduct deep-dive analysis to uncover the root causes of disconnects between the performance and compensation correlation. Provide the context on why it is happening and propose specific solutions to align performance with compensation
• Provide reporting, with analysis and recommendations, monthly and quarterly to senior business leadership
• Support system administration for the quarterly compensation cycle
• Ensure the accurate and timely compensation each quarter to the entire sales force through the ICM
• Build and maintain reporting dashboards for use at the individual, management, and executive levels
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
• 4+ years of experience in a Sales Compensation or Sales Operations role
• BS or BA in Business, Data Science, Economics, Finance, Math, or Statistics
• Experience using a commercial Incentive Compensation Management tool (e.g. Callidus, Captivate IQ, Varicent, Xactly)
• Demonstrated data analytics expertise with proven results of optimizing sales results
• Strong logic, problem-solving, and spreadsheet modeling skills
• MBA or applicable master's degree (e.g. Finance, Data Science, etc.)
• Sales compensation design experience