Senior Solution Engineer

Snowflake Snowflake · Data AI · AB · Remote · Solution Engineering

Senior Solution Engineer at Snowflake, focused on understanding customer needs, strategizing sales cycles, providing demonstrations, supporting Proof of Concepts, and closing business. The role requires a deep understanding of Snowflake technology, competitive landscape, and the ability to connect customer business problems with Snowflake's solutions. A proactive curiosity for the AI landscape and leveraging AI code generation tools are expected.

What you'd actually do

  1. Present Snowflake technology and vision to executives and technical contributors at prospects and customers
  2. 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
  3. 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.
  4. Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing

Skills

Required

  • 7-8 years of industry experience
  • minimum of 5 years within a pre-sales environment
  • Outstanding presenting skills to both technical and executive audiences
  • 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.
  • 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.

Nice to have

  • University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred
  • Masters in Data Science or Business Administration is a plus
  • Experience with GSIs (EY, Deloitte, Accenture, etc), would be beneficial, but not required

What the JD emphasized

  • customer's most complex problems
  • closing large deals
  • deep discovery of customer’s architecture framework
  • Proactive curiosity for the AI landscape
  • proven ability to leverage AI code generation tools