Sales Compensation & Performance Manager, Amazon Freight

Amazon.com Inc

Chicago, IL

JOB DETAILS
SKILLS
Analysis Skills, Artificial Intelligence (AI), Automation, Cargo/Freight, Claims Processing, Compensation Analysis, Compensation and Benefits, Data Management, Data Quality, Documentation, Enterprise Sales, Finance, Internal Audit, Leadership, Machine Tool, Maintain Compliance, Market Segmentation, Metrics, Operational Improvement, Operational Support, Partner Sales, Performance Analysis, Performance Management, Performance Metrics, Process Improvement, Reconciliation, Sales, Sales Analysis, Sales Operations, Technical Operations, Technology Sales, Time Management
LOCATION
Chicago, IL
POSTED
30+ days ago

Role Summary

The Sales Compensation & Performance Manager is responsible for the governance, execution, and analytics of all sales compensation and incentive programs. This role ensures that sales performance is measured accurately, compensation rules are executed consistently, and bonuses and commissions are calculated and paid in accordance with approved plans. The role operates as an independent, analytically driven function to ensure fairness, auditability, and trust in the compensation process.

Key job responsibilities

Key Responsibilities

  1. Performance Measurement & Compensation Logic
  • Translate approved compensation plans into clear and executable calculation logic.
  • Own the performance measurement framework used for incentive and bonus evaluation.
  • Define and maintain rules for:

o eligibility,

o attainment calculations,

o accelerators and thresholds,

o modifiers and caps.

  • Ensure consistent application of compensation logic across all sales segments (Enterprise, Mid-Size and FBA Inbound).
  1. Bonus, Commission and Incentive Execution
  • Calculate all variable compensation payouts (bonuses, commissions, SPIFFs, and special incentives).
  • Manage monthly, quarterly, and annual payout cycles end-to-end.
  • Prepare validated payout files and partner with Payroll to execute payments.
  • Ensure payouts are delivered accurately and on schedule.
  1. Data Validation and Controls
  • Validate performance and revenue inputs used for compensation, including bookings, revenue, margin, retention, and activity metrics.
  • Partner with Finance and Sales Leadership to reconcile data discrepancies.
  • Maintain strong internal controls, validation procedures, and reconciliation processes for all compensation calculations.
  1. Compensation Governance and Documentation
  • Act as the single owner of compensation calculation logic and supporting documentation.
  • Maintain plan documents, calculation methodologies, exception logs, and approval records.
  • Ensure adherence to internal policies and audit requirements.
  • Support internal audits and leadership reviews related to compensation and incentive programs.
  1. Performance and Compensation Analytics
  • Analyze attainment and payout distributions to assess:

o pay-for-performance alignment,

o incentive effectiveness,

o outliers and potential risk areas.

  • Produce leadership-level reporting on:

o attainment trends,

o compensation cost and spend,

o return on incentive investment.

  • Provide data-driven recommendations to improve compensation structures and incentive design.
  1. Exception and Adjustment Management
  • Own intake, review, and processing of compensation exception and adjustment requests.
  • Ensure all exceptions are formally approved and fully documented.
  • Apply approved exceptions accurately within payout cycles.
  1. Stakeholder Partnership and Enablement
  • Partner closely with Sales Leadership, Finance, HR / People teams, and Payroll.
  • Serve as the primary point of contact for compensation calculation and payout inquiries.
  • Clearly explain how performance translates into pay using transparent and fact-based communication.
  1. Tooling, Automation and AI Enablement
  • Partner with Sales Operations and technology teams to improve automation of compensation calculations and validation processes.
  • Contribute to roadmap initiatives that leverage analytics and AI to improve performance insights and compensation effectiveness.
  • Support scalable compensation operations through improved data pipelines and tooling.

About the Company

A

Amazon.com Inc

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles