AI-powered analytics platform for cloud data warehouses
Sigma connects business and technical teams to cloud data warehouses (Snowflake, Redshift, BigQuery, Databricks) with a spreadsheet-first interface, SQL/Python editors, and native AI capabilities. The company is actively scaling AI/ML infrastructure and agentic workflows while adopting containerization (Kubernetes), modern API patterns (GraphQL, Node.js, Go), and distributed backend services—a tech evolution indicating a shift from query-and-report toward AI-driven automation. Engineering dominates the hiring mix (51 roles), with senior/staff-level concentration, reflecting infrastructure and platform maturity work alongside feature velocity.
Notable leadership hires: Director of Engineering
Sigma is an analytics and AI applications platform that lets business and technical teams build production-ready apps directly on their cloud data warehouse. The product spans spreadsheet interfaces, SQL and Python editors, visual builders, and AI-native capabilities, enabling teams to turn warehouse data into interactive applications, reports, and embedded experiences without leaving the warehouse. The company operates across four countries (United States, United Kingdom, Australia, Andorra) and is actively hiring across engineering, sales, support, and design, with accelerating velocity in the past 30 days. Internal focus areas include interactive performance, multi-tenant cloud reliability, and reducing user churn.
Sigma integrates with Snowflake, Redshift, BigQuery, and Databricks. The platform also connects to Fivetran and Matillion for data pipelines, and supports Salesforce, NetSuite, and Excel as data sources.
Active projects include scaling AI/ML infrastructure, agentic workflows, distributed backend services, modern API development (GraphQL, Node.js), and performance improvements for multi-tenant analytics and interactive experiences on cloud warehouses.
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