Sigma Computing

Customer Success Architect

United States

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$110,000 – $145,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Enterprise SoftwareIndustries

Requirements

Candidates must possess a minimum of 10 years of business intelligence experience in a customer-facing technical role, such as customer success or consulting, along with customer relationship skills and experience implementing production business intelligence solutions. They should have embedded experience and data warehouse experience, preferably with cloud data warehouses like Snowflake, Redshift, or BigQuery, and a Bachelor’s degree in computer science or a related field, or equivalent technical experience.

Responsibilities

The Customer Success Architect will serve as a Sigma champion and product expert, advising customers on technical best practices including Sigma best practices and patterns, performance and tuning, security, and embedded and API access. They will capture product feedback from customers and engage with the product team to improve the product roadmap, identify new use cases to grow accounts, cultivate customer references for the marketing team, and eventually work remotely full-time with up to 50% travel.

Skills

Business Intelligence

Customer Success

Consulting

Embedded Systems

Database Concepts

Data Warehouse

Snowflake

Redshift

BigQuery

Security

API

Performance Tuning

SaaS

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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