Digital Customer Success Manager

Digital Customer Success Manager

This is an in-office role based out of our San Francisco or New York office.

Sigma Computing is hiring a Digital Customer Success Manager to help scale success across our growing commercial book of business. Sigma is the AI runtime for business — a platform where teams build and run analytics, AI apps, and agents directly on governed warehouse data (Snowflake, Databricks, Big Query, and more), using chat, a spreadsheet interface, SQL, or Python. In this role, you'll own a high-volume portfolio of mid-market customers who are leveraging Sigma to move from static dashboards to live, AI-powered workflows.

Success in this role is about smart prioritization. With a large book of accounts, you'll use data-driven signals and automation to focus your attention where it drives the most impact: accelerating adoption, surfacing expansion opportunities, and mitigating churn before it happens.

• Manage a high-volume portfolio of mid-market accounts through scalable engagement models (automation, self-service resources, and direct outreach), delivering a consistent, high-quality customer experience at scale
• Drive rapid time-to-value through efficient coordination of self-serve onboarding, training, and enablement programs
• Monitor customer health dashboards and use leading and lagging indicators (product adoption, feature utilization, active user growth, support ticket patterns, and time-to-value) to identify churn risk and expansion readiness
• 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

• 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 work streams 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

• 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

The base salary range for this position is $100,000 – $118,000 annual. 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.

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…