Commercial Solution Engineer

The Sigma Commercial Solutions Engineer believes in the power of analytics to transform organizations and uncover new data insights to increase business agility. The Sigma Solutions Engineer will act as the trusted advisor to our prospects and customers working in tandem with Sales, Business Development, Product Management, Customer Success, and Support. This individual is ultimately responsible for managing and delivering on all activities related to the technical presales cycle.

This includes presentations, demonstrations, and hands on development of prototypes. You will align closely with our Commercial Sales Representatives focused on sales in new and existing accounts.

Qualifications

We Need Minimum 2 years of analytics, business intelligence, or sales engineering experience Customer relationship skills Strong understanding of database concepts Understanding of advanced spreadsheet concepts Cloud data warehouse experience - Snowflake, Redshift, BigQuery Excellent organizational skills and ability to multitask in a fast-paced startup environment Experience implementing production business intelligence solutions or proof of concepts Bachelor’s degree in technical/analytics field or equivalent technical business experience 10% Travel some day!

) Experience at a SaaS company or with cloud architectures Experience with data analytics business use cases Startup experience ETL experience - Fivetran, Matillion or traditional ETL Additional Job details The base salary for this position is $110,000 –$135,000 annually.

, 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.

Compensation

may vary outside of this range depending on a number of factors, including a candidate’s

Benefits

package. 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.