Sales Commissions Manager

Role Summary

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

FINANCE ORGANIZATION | GLOBAL COMMISSIONS TEAM

Snowflake’s Finance Organization is seeking a Sales Commissions Manager to join our Global Commissions Team. In this role, you will partner with cross-functional teams to

ensure our sales compensation programs are fair, motivating, and align with our GTM and Company strategies. We are looking for an individual with a proven track record of operational excellence that thrives in a fast-paced, evolving environment.

Responsibilities

As a Sales Commissions Manager at Snowflake, you will

• Partner with internal teams to develop competitive compensation structures that align with go-to-market and revenue goals as well as effectively balance budget constraints.
• Drive continuous improvement, make recommendations for changes to processes and workflows, and execute on those changes.
• Lead coordination with various teams to ensure commission deliverables are met.
• Effectively manage multiple projects and competing priorities.
• Lead analysis of anomalies and plan effectiveness to provide meaningful and accurate insights to senior leadership.
• Influences the decision-making process and final outcome by providing detailed analysis, models and recommendations.
• Troubleshoot and resolve commission issues in a timely manner.
• How do you want to make your impact?
• For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com

Requirements

Our ideal candidate will possess the following

• Experience: 5+ years of proven experience in supporting complex commission data structures for diverse sales incentive programs.
• Education: A Bachelor’s degree is Business, Finance, Economics, or a related discipline.
• Technical Skills: Advanced Microsoft Excel proficiency and hands-on experience leveraging AI tools
• Soft Skills: High attention to detail, strong conflict resolution abilities, and the ability to effectively work through complex challenges with limited information.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

About the Company

ABOUT THE AI PRODUCTS TEAM

The AI Products team is part of the broader Marketplace & Collaboration organization and is focused on bringing AI products on top of Snowflake’s data and application platform to help customers discover, share, monetize, and act on data assets & applications more easily.

This team is building the connective tissue of the agentic enterprise: the infrastructure and product surfaces that allow Snowflake customers to seamlessly share datasets, semantic views, and applications, and make them discoverable and executable through Cortex Code, CoWork, and other agentic harnesses.

Our strategy is centered on evolving Snowflake Marketplace for the AI era, including packaging data and intelligence into ready-to-use agentic experiences, and enabling governed access patterns that let AI systems safely operate on enterprise data and applications.

AS A STAFF SOFTWARE ENGINEER ON AI PRODUCTS, YOU WILL

WHY JOIN THIS TEAM

This is a chance to shape how Snowflake customers expose data and applications to AI systems in a secure, governed, and highly usable way. The work sits at the intersection of platform engineering, product innovation, and AI transformation, and it directly influences how the Data Cloud evolves for the next generation of customers and builders.