Senior Solution Engineer, Retail & Consumer Goods

Responsibilities

• Present Snowflake technology and vision to executive and technical audiences.
• Partner with sales teams and channel partners to understand customer needs and navigate winning sales cycles.
• Demonstrate Snowflake’s value throughout the sales cycle, from initial demonstrations through proofs of concept, design, and implementation.
• Support enterprise proofs of concept and help close large deals.
• Research industry trends, competitive technologies, complementary vendors, and positioning strategies.
• Collaborate with Product Management, Engineering, and Marketing to improve products and marketing.
• Conduct deep discovery of customer architecture and connect business problems to Snowflake data architecture and solutions.

Requirements

• 5–7+ years of industry experience, including at least 5 years in a pre-sales environment.
• Outstanding presentation skills for technical and executive audiences, including whiteboarding, presentations, and demonstrations.
• At least 5 years of experience building and deploying machine learning and generative AI solutions in the cloud.
• Curiosity about the AI landscape and ability to act as a technical thought partner for customers.
• Experience using AI code-generation tools to improve productivity and efficiency.
• Broad experience with large-scale databases, data warehouses, ETL, analytics, and cloud technologies.
• Hands-on expertise with SQL, SQL analytics, and Python.
• Ability to connect customer business problems with technical solutions.
• University degree in computer science, engineering, mathematics, or a related field, or equivalent experience preferred.

Nice to have

• Experience with data lakes, data mesh, or data fabric architectures.
• Master’s degree in data science or business administration.
• Experience working with global system integrators such as EY, Deloitte, or Accenture.

Compensation

• Annual salary range: $165,000–$216,562.
• Approximately 25%–30% travel is expected.