Solution Engineer, Enterprise Acquisition (All Levels) | Remote - St. Louis, MO, United States | Solution Engineering
About the position Join the Snowflake team as a Senior Sales Engineer based in St. Louis. In this role, 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 must share our passion about reinventing the database space, thrive in a dynamic environment, and have the flexibility and willingness to jump in and get things done. You will be comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences. Responsibilities • 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, from demo to proof of concept to design and implementation. • Maintain a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them. • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake's products and marketing. 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. • Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies. • 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. • University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred. Nice-to-haves • Masters in Data Science or Business Administration. • Experience with GSIs (EY, Deloitte, Accenture, etc.) would be beneficial, but not required. Apply tot his job