Sigma Computing

Enterprise Customer Success Manager

United States

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$132,000 – $165,000Compensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Business Intelligence, Analytics, SaaSIndustries

Requirements

Candidates must hold a Bachelor’s or Master’s degree in Business, Analytics, Computer Science, or a related field, and possess at least 7 years of experience in customer success, account management, or a consultative role within the SaaS, analytics, or business intelligence industry. Strong analytical skills, including experience with SQL, data visualization tools, and cloud-based analytics platforms like Snowflake, Databricks, Redshift, and BigQuery, are required, along with experience implementing production business intelligence solutions and ETL processes.

Responsibilities

The Enterprise Customer Success Manager will be responsible for strategic account management, building and maintaining relationships with key decision-makers, leveraging analytics expertise to guide customers in optimizing their use of the Sigma Computing platform, driving NDR growth through upselling, cross-selling, and churn reduction, serving as a customer advocate by bridging the gap between customers and the product team, collaborating with customers to develop success plans, and designing and delivering educational initiatives such as training sessions and webinars to increase product knowledge and engagement.

Skills

SQL

Data Visualization

Cloud-based Analytics Platforms

ETL

Business Intelligence

Account Management

Customer Success

Data Analysis

Stakeholder Management

Communication

Sigma Computing

Cloud-based data analytics platform for businesses

About Sigma Computing

Sigma Computing offers a cloud-based data analytics platform that enables businesses to analyze large volumes of data through a user-friendly, spreadsheet-like interface. Users can connect to their cloud data warehouse and access advanced features such as data collection, territory management, and revenue planning without needing coding skills. The platform is scalable, allowing for the analysis of billions of rows of data, and promotes self-service capabilities for faster insights. Recently, Sigma introduced AI features like data classification and natural language processing to enhance data analysis and support Enterprise AI initiatives.

Key Metrics

San Francisco, CaliforniaHeadquarters

2014Year Founded

$550.9MTotal Funding

SERIES_DCompany Stage

Data & Analytics, AI & Machine LearningIndustries

501-1,000Employees

Benefits

Competitive pay - Looking for a great salary and solid stock options? You’ve come to the right place.

Flexible schedule - Do the work you need to get done in the time you have to get it done

Amazing benefits - Medical, dental, vision, 401k, FSA, commuter… we’ve got you covered. Literally.

Flexible vacation - At Sigma, we work to live, not live to work. So go on, book that dream vacation.

Health & wellness - A healthy body supports a healthy mind, so we partner with Crunch Fitness and CorePower.

Family-friendly - From flexible scheduling to parental leave to kids’ birthdays off, we support Sigma families.

Risks

Competition from Tableau and Power BI could threaten Sigma's market share.

Reliance on platforms like Snowflake may impact service delivery if disruptions occur.

High valuation pressures Sigma to deliver rapid growth, risking strategic misalignment.

Differentiation

Sigma offers a spreadsheet-like interface for non-technical users to analyze data.

The platform integrates with major data warehouses like Snowflake and BigQuery.

Sigma's AI features include natural language processing and sentiment analysis.

Upsides

Sigma raised $200M in Series D funding, valuing it at $1.5 billion.

The platform's scalability allows analysis of billions of data rows efficiently.

Sigma's partnerships enhance data accessibility and integration for users.

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