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SnowflakePosted 1 week ago

Senior Solution Engineer, Manufacturing

$165,000–$216,562 year

RemoteUnited States or Austin, Texas, United States

Full TimeSenior LevelLargeCloud Services

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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