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
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.
Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing

Requirements

4-7 years of industry experience with a minimum of 5 years within a pre-sales environment
Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
2+ 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 preferred.
Experience with GSIs (EY, Deloitte, Accenture, etc), would be beneficial, but not required
Expect approximately 30% travel.

Benefits

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data.
Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

SQLSQL analyticsPythonmachine learninggenerative AIcloud technologiesDatabase technologyData Warehouse technologyETLanalytics

presenting skillscommunicationcollaborationproblem-solvingcustomer discovery