---
title: 'Enterprise Customer Success Manager - Central at Sigma Computing'
canonical: 'https://feeny.ai/job/enterprise-customer-success-manager-central-sigma-computing-remote-9t6hqn343kpn'
type: 'job'
last_seen: '2026-09-06'
---

# Enterprise Customer Success Manager - Central at Sigma Computing

- **Company:** Sigma Computing
- **Location:** Remote
- **Work type:** remote
- **Posted:** 2026-08-19
- **Last confirmed live:** 2026-09-06
- **Apply:** https://job-boards.greenhouse.io/sigmacomputing/jobs/7906143003

## Job description

## About Sigma Computing

Sigma Computing is at the forefront of cloud-based analytics and business intelligence, transforming the way businesses leverage their data to make informed decisions. Our platform bridges the gap between complex data queries and business insights, providing an intuitive interface for users of all technical backgrounds.

We're looking for a Customer Success Manager with a deep understanding of analytics and business intelligence to join our team. This role is critical for ensuring our customers maximize the value they derive from our platform, with a direct focus on improving Net Dollar Retention (NDR) through strategic account management and growth initiatives.

Key Responsibilities:

- Strategic Account Management: Build and maintain strong relationships with decision-makers and influencers within our customer base, with a focus on high-value accounts.
- Analytics Expertise: Leverage your deep understanding of analytics and business intelligence to guide customers in optimizing their use of Sigma Computing's platform. Help them understand their data and gain actionable insights.
- NDR Growth: Develop and implement strategies aimed at maximizing NDR. This includes identifying opportunities for upselling and cross-selling, as well as reducing churn through proactive engagement and solution-oriented support.
- Customer Advocacy: Serve as the bridge between our customers and our product team. Advocate for features, enhancements, and integrations that will drive customer satisfaction and retention.
- Success Plans: Collaborate with customers to develop and execute success plans that align Sigma Computing's capabilities with the customer's business goals and objectives.
- Educational Initiatives: Design and deliver training sessions, webinars, and workshops to increase product knowledge, adoption, and engagement among our user base.

Required Skills / Experience:

- Bachelor’s or Master’s degree in Business, Analytics, Computer Science, or a related field.
- 7+ years of experience in a customer success, account management, or consultative role within the SaaS, analytics, or business intelligence industry.
- Experience navigating complex enterprise sales environments with multiple priorities and stakeholders
- Strong analytical skills with a proven ability to solve complex problems using data.
- Excellent communication and interpersonal skills, with a knack for building trust and driving engagement.
- Demonstrated ability to manage and grow customer accounts, specifically focusing on net dollar retention.
- Experience with SQL, data visualization tools, and cloud-based analytics platforms highly preferred (Snowflake, Databricks, Redshift, BigQuery)
- ETL experience
- Experience implementing production business intelligence solutions
- Startup experience

Additional Job details

The base salary range for this position is $132k - $165k 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 a variable pay (based on goal achievement), stock options, as well as a comprehensive benefits package.

If you do not feel that you satisfy all the listed requirements, we encourage you to still apply. 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](https://www.sigmacomputing.com/legal/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.

## About Sigma Computing

## Company Overview
- **One-liner**: Sigma Computing provides an AI-powered analytics and application platform that enables business and technical teams to build governed AI apps and dashboards directly on their cloud data warehouse.
- **Entity Type**: Private (Series E, $3B valuation as of May 2026)
- **Headquarters**: San Francisco, California, United States
- **Founded**: Not publicly available
- **Founders**: Mike Palmer (CEO), Rob Woollen (CTO/Co‑founder) [sigmacputing.com/company](https://www.sigmacomputing.com/company)

## Core Business
- **Primary industry**: Analytics and Business Intelligence, AI Applications
- **Target customers**: B2B, Enterprise, data and analytics teams, business users
- **Mission or purpose statement**: “Help us build the future of AI, data apps, and analytics.” [sigmacomputing.com/company/careers](https://www.sigmacomputing.com/company/careers)

## Products & Services
- **Sigma Platform**: Warehouse‑native analytics workspace with spreadsheet, SQL, Python, and visual builders for live query, writeback, and collaboration.
- **Sigma Agents**: No‑code AI agents that operate within governed warehouse data to automate workflows.
- **Sigma Assistant**: AI copilot for natural‑language data questions and app building.
- **Sigma Data Modeling Skills for AI Agents**: Lets data engineers build and manage Sigma models from AI coding tools like Claude Code, Cursor, and Snowflake Cortex Code.
- **Sigma MCP Server**: Provides governed answers from data directly in AI chat assistants such as ChatGPT and Claude.

## Market Standing
- **Valuation**: $3 billion (Series E, May 2026) [sigmacomputing.com/resources/announcements/series-e](https://www.sigmacomputing.com/resources/announcements/series-e)
- **Key Metric**: $200M Annual Recurring Revenue (as of April 2026); Total funding $581.3M across 7 rounds [LinkedIn](https://www.linkedin.com/company/sigmacomputing)
- **Notable Investors/Partners**: Princeville Capital (lead), Databricks Ventures, ServiceNow Ventures, Workday Ventures, Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, XN; J.P. Morgan and Allen & Company as placement agents. Key partners: Snowflake (BI Partner of the Year), Databricks, Fivetran. [series‑e page, careers page]
- **Growth Signals**: $200M ARR (doubled YoY), 2,000+ customers including Fortune 10, 1.1M+ new active users added in last fiscal year, 100%+ YoY growth, headcount 730 (+43.9% YoY), APJ expansion with Sydney HQ, Sigma Agents fastest adopted feature, 2025 Gartner Magic Quadrant for Analytics and BI, 2024 SaaS Award for Highest Customer Satisfaction. [LinkedIn, series‑e page](https://www.sigmacomputing.com/resources/announcements/series-e)

## Competitive Advantages
- **Warehouse‑native architecture**: Queries data directly in the cloud warehouse – security, governance, audit, and lineage are inherited at the source.
- **Multi‑modal interface**: Spreadsheet, SQL, Python, and AI in one workspace, enabling every user type.
- **Governed AI**: Build AI apps/agents without moving data; full IT control over permissions and telemetry.
- **Strong ecosystem**: Deep integrations with Snowflake, Databricks, Fivetran; recognized as top partner by major data platforms.

## Strategic Focus
- **AI‑first product expansion**: Accelerating agentic analytics, copilot, and MCP server capabilities.
- **International growth**: New APJ headquarters in Sydney, continued EMEA presence (London office).
- **Enterprise scale**: Targeting larger deployments with governed AI and operational workflows.
- **Developer enablement**: Supporting vibe coding and AI coding agents (Cursor, Claude Code) for data model creation.

## Why Work Here
- **Culture**: Data‑driven, velocity‑ and learning‑focused; bi‑annual hackathons; flexible schedule and unlimited time off. [sigmacomputing.com/company/careers](https://www.sigmacomputing.com/company/careers)
- **Work environment**: Hybrid/remote flexibility (“work in the way that suits you”); offices in San Francisco, New York City, London, and Sydney.
- **Perks**: Daily lunch via DoorDash, unlimited snacks/coffee, Unagi scooter benefit; comprehensive health/dental/vision, parental leave; wellness benefits (Carrot Pro, Wellhub+, Rightway, OneMedical); 401(k) with match (US); pension with 3% match and commuter benefit (UK); competitive pay; professional development support (conferences, L&D, clear career progression). [careers page](https://www.sigmacomputing.com/company/careers)
- **Engineering culture**: Strong AI/ML, backend, frontend, fullstack roles; new grad program; focus on innovation, observability, and reliability. Many open engineering positions as the company scales rapidly.

## Sources
1. [Sigma Computing Careers Page](https://www.sigmacomputing.com/company/careers)
2. [Sigma Computing Homepage](https://www.sigmacomputing.com/)
3. [Sigma Computing Company / Mission Page](https://www.sigmacomputing.com/company)
4. [Sigma Computing LinkedIn Profile](https://www.linkedin.com/company/sigmacomputing)
5. [Sigma Series E Announcement](https://www.sigmacomputing.com/resources/announcements/series-e)

## Other roles at Sigma Computing

- [Enterprise Solution Engineer - Central](https://feeny.ai/job/enterprise-solution-engineer-central-sigma-computing-united-states-wggz5fy1jasv) — United States
- [Enterprise Solution Engineer - West](https://feeny.ai/job/enterprise-solution-engineer-west-sigma-computing-san-francisco-2gxptv6y9syt) — San Francisco, CA
- [Renewals Manager](https://feeny.ai/job/renewals-manager-sigma-computing-new-york-z7189q9wm5fb) — New York, NY
- [Manager, Commercial Solution Engineering](https://feeny.ai/job/manager-commercial-solution-engineering-sigma-computing-san-francisco-j4y3ny0jtycq) — San Francisco, CA
- [Regional Sales Manager - EMEA](https://feeny.ai/job/regional-sales-manager-emea-sigma-computing-london-en2rn9jfvg2e) — London, United Kingdom
- [Enterprise Customer Success Manager — East (Bilingual: English/Spanish)](https://feeny.ai/job/enterprise-customer-success-manager-east-bilingual-english-spanish-sigma-bkxd9ax9wegz) — New York, NY
- [Commercial Customer Success Manager - SF](https://feeny.ai/job/commercial-customer-success-manager-sf-sigma-computing-san-francisco-4jbqsz58wvcr) — San Francisco, CA
- [Enterprise Customer Success Manager - NY](https://feeny.ai/job/enterprise-customer-success-manager-ny-sigma-computing-new-york-h67v9eg9bh92) — New York, NY
- [Senior Revenue Accounting Manager](https://feeny.ai/job/senior-revenue-accounting-manager-sigma-computing-san-francisco-7rkzbp5zmdfz) — San Francisco, CA
- [Field CTO](https://feeny.ai/job/field-cto-sigma-computing-remote-ed3s0ft3d99t)