Commercial Solution Engineer

About the Role

The Sigma Commercial Solutions Engineer acts as a trusted advisor to prospects and customers, working in tandem with Sales, Business Development, Product Management, Customer Success, and Support. You will manage and deliver on all activities related to the technical presales cycle, including presentations, demonstrations, and hands-on development of prototypes, aligning closely with Commercial Sales Representatives.

Responsibilities

• Understand and uncover business challenges faced by customers, running 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 across all organizational levels.
• Deliver product, technical, and security-related responses to RFPs/RFIs.
• Participate in product, sales, and relevant technology certifications to maintain and grow skill sets.
• Contribute, learn, and share knowledge collaboratively with the team.
• Guide customers on integration and data migration approaches to develop data lifecycle and analytics strategies with Sigma.
• Manage multiple customer engagements concurrently.
• Attain assigned quarterly and annual objectives.
• Become a Sigma champion and product expert for prospects and customers.

Qualifications

Required

• Minimum 2 years of analytics, business intelligence, or sales engineering experience.
• Customer relationship skills.
• Strong understanding of database concepts and 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 a technical/analytics field or equivalent technical & business experience.
• Willingness to travel 10% (up to 25% across standard company office roles).

Preferred

• 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).