Digital Customer Success Manager

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

About the Role

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, BigQuery, 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.

Key Responsibilities

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

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.