Senior Solution Engineer

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
• 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

• 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, whether impromptu on a whiteboard or using presentations and demos
• 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 (e.g., Data Lake, Data Mesh, Data Fabric)
• 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
• Proactive curiosity for the AI landscape, striving to be a visionary and technical thought partner for customers navigating the space
• Proven ability to leverage AI code generation tools to accelerate productivity and efficiency
• University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred
• Expect approximately 30% travel

Nice-to-Haves

• Masters in Data Science or Business Administration
• Experience with GSIs (EY, Deloitte, Accenture, etc.)