Senior Solution Engineer, Retail & Consumer Goods

As a Senior Solution Engineer, you will work directly with the sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. You will be responsible for presenting Snowflake technology and vision to executives and technical contributors at prospects and customers, working hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, and collaborating with Product Management, Engineering, and Marketing to continuously improve Snowflake's products and marketing.

What You Will Do

Present Snowflake technology and vision to executives and technical contributors at prospects and customers, work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, and immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them.

Why It Might Be a Fit

You will be a good fit for this role if you have 7-8 years of industry experience with a minimum of 5 years within a pre-sales environment, outstanding presenting skills to both technical and executive audiences, and hands-on expertise with SQL, SQL analytics, and Python. You should also be able to connect a customer's specific business problems and Snowflake's solutions, and do deep discovery of customer's architecture framework and connect those with Snowflake Data Architecture.

Requirements

• 7-8 years of industry experience with a minimum of 5 years within a pre-sales environment
• Outstanding presenting skills to both technical and executive audiences
• 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud
• Hands-on expertise with SQL, SQL analytics, and Python
• Ability to connect a customer's specific business problems and Snowflake's solutions
• Ability to do deep discovery of customer's architecture framework and connect those with Snowflake Data Architecture

Benefits

• Approximately 30% travel
• University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred
• Masters in DataScience or Business Administration is a plus
• Experience with GSIs (EY, Deloitte, Accenture, etc), would be beneficial, but not required