Role Overview
As a Senior Solution Engineer, you will work directly with the sales team and channel partners to understand customer needs, strategize on winning sales cycles, and close large deals. You will be responsible for presenting Snowflake technology and vision to executives and technical contributors, working hands-on with prospects and customers to demonstrate the value of Snowflake technology, and collaborating with Product Management, Engineering, and Marketing to improve Snowflake's products and marketing.
What You Will Do
Present Snowflake technology and vision to executives and technical contributors, work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology, immerse yourself in the ever-evolving industry, and collaborate with Product Management, Engineering, and Marketing.
Why It Might Be a Fit
You will be a good fit if you have 7-8 years of industry experience, outstanding presenting skills, and experience building and deploying machine learning and generative AI solutions in the cloud. You should also have a broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics, and cloud technologies.
Requirements
- 7-8 years of industry experience
- Outstanding presenting skills
- 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud
- 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
Benefits
- Approximately 30% travel
- Salary and benefits information available on the Careers Site
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