# Digital Customer Success Manager at Sigma Computing

> United States · Manager · Other · open. Source: https://alderhq.app/jobs/greenhouse%3Asigmacomputing%3A8050541003 (read 2026-11-03).

## Facts (observed)

- Company: [Sigma Computing](https://alderhq.app/companies/sigma-computing)
- Location text: New York, New York, United States; NYC
- Where it can be done from (inferred): United States (evidence: "Location: New York, New York, United States; NYC")
- Posted: 2026-10-28 (6 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-03
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/sigmacomputing/jobs/8050541003
- Skills listed (inferred): Python, Snowflake, SQL

## Pay and sponsorship

- Posted pay: not posted
- H-1B filings at this company for similar roles, FY26: 3, median offered wage $123k ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance))
- Licensed UK sponsor: registered as "Sigma Computing UK Limited" (checked 2026-11-03, [register](https://www.gov.uk/government/publications/register-of-licensed-sponsors-workers))

## Description (the employer's text)

### Digital Customer Success Manager

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

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Asigmacomputing%3A8050541003 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.