Sales Compensation Manager

The Sales Compensation Manager owns the scaling and operation of Sigma’s sales compensation process from start to finish. You’ll make sure every payout is accurate, on time and audit-ready. You’ll also build the automation, controls and reporting that keep compensation in line with business results as Sigma grows. The role suits a self-starter who wants full ownership, can bring structure to ambiguous problems, and works well across Finance, Revenue Operations, People and GTM leadership.

Key Responsibilities

Commission & Incentive Administration

• Own sales compensation administration end to end: setting up plan participants, distributing plans, calculating and validating commissions, confirming payments are ready, and submitting to payroll. You’re accountable for accuracy and timeliness.
• Spot anomalies before payroll and hold payments when a payout looks wrong, so we don’t overpay. Track and carry out decisions on exceptions so every change is documented and can be traced.
• Investigate and resolve crediting errors, quota misalignments, payout disputes and escalations. Explain the root cause and recommend fixes to leadership.
• Support commission accruals, expense reporting under ASC 340-40 (the accounting rule for capitalizing commissions), and roll-up reporting during Finance’s month-end close.

Consumption & Plan Mechanics

• Administer and validate compensation tied to both committed bookings and consumption, including commit, ramp and true-up logic.
• Help put quota rules, crediting structures, accelerators, SPIFs and payout policies into practice as plans change.
• Write clear plan documents, policies and FAQs that turn complex compensation logic into language sellers and managers can follow.

Systems, Data & Automation

• Manage Sigma’s compensation platform with the broader team, and keep data flowing cleanly between Salesforce, the HRIS, the comp system.
• Check data against the systems of record before every payout cycle.
• Build reporting and dashboards in Sigma that give sellers, managers and Finance visibility into attainment and payouts.
• Find where AI and automation can do real work, such as catching anomalies, sorting exceptions and reconciling data, and roll it out to reduce manual effort.

Controls & Cross-Functional Partnership

• Build controls, repeatable workflows and documentation that keep the function audit-ready as Sigma scales.
• Partner with Finance, Revenue Operations, People, Payroll, Legal and Data. Frame each decision around the seller’s experience, risk and compliance, and act as the first point of contact for compensation escalations.

Qualifications

• 5+ years of hands-on sales compensation administration, ideally at fast-scaling SaaS companies.
• Experience with consumption-based or hybrid (commit + usage) compensation models, and an understanding of how plan mechanics influence seller behavior.
• Working knowledge of quotas, target incentive (OTI), accelerators, overlays, SPIFs and crediting rules.
• Advanced proficiency with Salesforce, Sigma and spreadsheet tools for modeling and analysis.
• Strong data validation skills, with a track record of catching anomalies and turning findings into clear recommendations.
• Ability to influence cross-functional partners without direct authority, and to explain complex logic to both technical and non-technical audiences.
• Comfort using AI tools day to day, with a practical view of where automation helps and where human judgment is still needed.
• Exceptional attention to detail, a strong systems mindset, and the ability to run reliable processes with minimal oversight.
• Bonus: hands-on experience configuring a modern comp tool (CaptivateIQ, QuotaPath or similar), and exposure to ASC 340-40 or audit controls.

Additional Job details
The base salary range for this position is $165K - $200K annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package.

 

About us: 

Sigma is the AI Apps and agentic analytics platform built on the cloud data warehouse. Business and technical teams use Sigma to explore live data, build intelligent applications, and automate critical workflows all without moving data or breaking governance. Sigma supports a spreadsheet interface, SQL, Python, and native AI in a single governed workspace, giving every team the speed to act and IT the control to scale. Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase. 

Sigma announced its $80M in Series E financing in May 2026. The round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN. This milestone follows Sigma reaching $200M in annual recurring revenue in April 2026, with more than 100% year-over-year growth and 1.1 million new active users added in the latest fiscal year.

Come join us!

Benefits For Our Full-Time Employees:

• Equity                                                                                                 
• Generous health benefits
• Flexible time off policy. Take the time off you need!
• Paid bonding time for all new parents
• Traditional and Roth 401k
• Commuter and FSA benefits
• Lunch Program
• Dog friendly office

Sigma is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran, or any other protected status. We look forward to learning how your experience can enable all of us to grow.

Note: We have an in-office work environment in all our offices in SF, NYC, London and Sydney. All roles have a 25% travel expectation unless explicitly stated otherwise.

Our Privacy Practices

When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to the USA, the UK, and Canada, Australia). 

Sigma’s use of AI

This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.