The Sales Compensation Manager is vital for scaling and operationalizing Sigma's sales compensation process. You will ensure accurate, timely compensation payouts using expert analysis and refine processes, tools, and reporting to align compensation with business results. This role is ideal for a self-starter who thrives on ownership, data integrity, and cross-functional collaboration between Finance, Revenue Operations, and GTM leadership.
Key Responsibilities
Commission & Incentive Processing
- Execute end-to-end commission calculation validation and processing for sales commissions and incentive payouts with high accuracy and precision.
- Identify, troubleshoot, and resolve calculation discrepancies and stakeholder escalations efficiently. Support compensation accruals and roll-up reporting in coordination with Finance close cycles.
Systems & Platform Administration
- Manage Sigma’s compensation platform with the broader team.
- Lead system updates, user access coordination and UAT
- Ensure clean data flows between CRM (Salesforce), HRIS, ERP, and comp systems.
Plan Governance & Communication
- Support administration of quota rules, crediting structures, and payout policies.
- Prepare clear plan documentation, and communication for GTM teams.
Cross-Functional Collaboration
- Partner closely with Finance, Sales Operations, HR/People, and Data to align comp mechanics with business strategy.
- Identify, prioritize, and implement process improvements that increase accuracy and reduce manual effort.
Qualifications:
- 5+ years of experience in sales compensation, ideally within fast-scaling SaaS orgs.
- Advanced proficiency with Salesforce CRM, Sigma and spreadsheet tools.
- Familiarity with consumption-based models and usage-driven GTM strategies.
- Exceptional attention to detail, robust problem-solving skills, and a strong systems mindset.
- Effective communication skills with the ability to clearly translate complex compensation logic for both technical and non-technical audiences.
- Bonus: Hands-on experience with modern sales comp tools (e.g. QuotaPath, CaptivateIQ or similar), including plan configuration, calculations, and reporting.
- Double Bonus: Working knowledge of SQL or comparable query languages for advanced commission modeling and troubleshooting.
Additional Job details
The base salary range for this position is $150k - $170k 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.
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.
Sigma Computing San Francisco, California, USA Office
116 New Montgomery St, San Francisco, CA, United States, 94105
Similar Jobs
.png)
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
