Snowflake Computing-posted 4 months ago
Senior
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

Join the Snowflake team as a Senior Solution Engineer, where you will solve customers' most complex problems and close large deals. In this role, you will work directly with the sales team and channel partners to understand customer needs, strategize on winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. You must share our passion for 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 business and technical contexts, interacting with executives and technical audiences.

  • 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.
  • 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.
  • Masters in Data Science or Business Administration is a plus.
  • Experience with GSIs (EY, Deloitte, Accenture, etc.) would be beneficial, but not required.
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