Senior Solution Engineer, Manufacturing
$165,000–$216,562 year
RemoteUnited States or Austin, Texas, United States
Job Summary
Present Snowflake technology and vision to executives and technical contributors at prospects and customers while working hands-on with prospects to demonstrate value throughout the sales cycle, from demo to proof of concept. Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake's products and marketing. Maintain a deep understanding of competitive and complementary technologies to position Snowflake effectively. Expect approximately 30% travel. This role supports the Solution Engineering Team in reinventing how the agentic enterprise works.
Required Qualifications
- 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. For example, 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
- Possesses a proactive curiosity for the AI landscape, striving to be a visionary and technical thought partner for customers navigating the space
- A 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
- Expect approximately 30% travel
Desired Qualifications
- Masters in DataScience or Business Administration is a plus
- Experience with GSIs (EY, Deloitte, Accenture, etc), would be beneficial, but not required
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