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Sydney, New South Wales, Australia
Onsite
Sigma’s vision is to create an insight-driven world where people, organizations, and, ultimately, humanity are transformed for the better by data. At Sigma, we are building a cloud-native business intelligence platform that allows users to tap into their biggest databases hosted in the cloud and easily conduct ad hoc analysis to gain business insights in seconds. All without any SQL programming. We are growing the Solution Engineering team and are looking for a Solution Engineer who will help redefine the business intelligence landscape for our customers. You will join a talented team of Solution Engineers with a shared mission to truly make data access easy to drive business results.
The Sigma Solution Engineer believes in the power of analytics to transform organizations and uncover new data insights to increase business agility. The Sigma Solution Engineer will act as the trusted advisor to our prospects and customers working in tandem with Sales, Business Development, Product Management, Engineering, 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 field Regional Sales Managers (Enterprise) focused on sales in new and existing accounts.
What You Will Be Doing
Qualifications We Need
Qualifications We Want (also, skills you’ll learn!)
Additional Job Details
Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for a variable pay (based on goal achievement), stock options, as well as a comprehensive 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. 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!
Sigma is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran, or any other protected status. We look forward to learning how your experience can enable all of us to grow.
Note: We have an in-office work environment in all our offices in SF, NYC, London and Sydney. All roles have a 25% travel expectation unless explicitly stated otherwise.
Our Privacy Practices
When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to the USA, the UK, and Canada, Australia).
Sigma’s use of AI
This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.
