Commercial Solution Engineer (AUS)
Sigma Computing
| Company | Sigma Computing |
| Category | Engineering |
| Location | Australia |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 15 Jun 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
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.
What You Will Be Doing
Understand and uncover business challenges and issues faced by the customer and be able to run targeted discovery sessions or workshops
Engage with business users to define, create, and showcase solution prototypes
Build and present customized demos for customers, trade shows, and webinars
Confidently present and articulate the business value of the Sigma platform to all levels within an organization
Deliver product, technical, and security related responses to RFPs/RFIs
Participate in product, sales, and relevant technology certifications to acquire, maintain, and grow skill sets
Work as a team player by contributing, learning, and sharing new knowledge
Be conversant in integration and data migration approaches to help customers develop their data lifecycle and analytics strategy with Sigma
Manage multiple customer engagements concurrently
Attain quarterly and annual objectives assigned by management
Become a Sigma champion and product expert; prospects and customers will look to you for advice and expertise
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!
Qualifications We Want (also, skills you’ll learn!)
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
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. This milestone follows Sigma reaching $200M in annual recurring revenue in April 2026, with more than 100% year-over-year growth and 1.1 million new active users added in the latest fiscal year.
Come join us!
Benefits For Our Full-Time Employees:
Equity
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