Apply cohort analysis and customer segmentation to identify trends and optimize engagement strategies across your portfolio
Develop and deliver targeted customer communications that enable self-service success and reduce reliance on direct touchpoints
Conduct focused customer meetings tied to specific outcomes: risk mitigation, expansion, or renewal
Use deep product knowledge to drive adoption of Sigma's features, including AI capabilities, and identify relevant use cases and upsell opportunities for each customer's context
Collaborate with Sales, Support, and Product to ensure clean handoffs and fast issue resolution
Contribute to the development and ongoing maintenance of scalable playbooks, templates, and resources that the broader CS team can leverage
Required Qualifications
4+ years of customer success experience in SaaS, with a track record managing high-volume customer portfolios
Demonstrated ability to analyze customer usage data and translate insights into action
Proficiency with customer success platforms (e.g., Gainsight, Vitally, Totango) and the analytics workflows that support them
Experience building or refining repeatable playbooks and scalable CS processes
Familiarity with data analytics and business intelligence concepts; you don't need to be a data engineer, but you should be comfortable talking to customers about their data workflows
Strong project management skills with the ability to run multiple workstreams simultaneously without dropping context
Excellent written and verbal communication, particularly in asynchronous and digital-first settings
Bachelor's degree in Business, Computer Science, or a related field
Preferred Qualifications
Experience with analytics or BI platforms (Tableau, Looker, Power BI, or similar); bonus if you've used or sold a product that sits on top of a cloud data warehouse
Familiarity with AI agents, AI apps, or AI-powered workflows in a business context; ideally you've helped customers adopt or get value from these tools
Basic SQL knowledge and comfort with data concepts
Experience building customer health scores and success metrics frameworks
Compensation & Benefits
The base salary range for this position is $100,000 – $118,000 annually. Actual compensation may vary based on a candidate's qualifications, skills, and experience. Base pay is one component of Sigma's total compensation package, which also includes variable pay (tied to goal achievement), stock options, and a comprehensive benefits package.
We encourage you to apply even if you don't meet every listed requirement.
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.
