Sigma Computing

Enterprise Customer Success Manager

United States

$132,000 – $165,000Compensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Business Intelligence, Analytics, SaaSIndustries

Position Overview

  • Location Type: Remote
  • Job Type: Full-time
  • Salary: $132k - $165k annually

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.

Requirements

  • 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.

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.

Application Instructions

  • [Details about how to apply would be included here if available]

Company Information

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.

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.

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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