Principal Solution Engineer, Financial Services

Snowflake Snowflake · Data AI · NC, United States · Remote · Solution Engineering

This role is for a Principal Solution Engineer in Financial Services at Snowflake, focusing on understanding customer needs, strategizing sales cycles, providing demonstrations, supporting Proof of Concepts, and closing business. The role requires experience in pre-sales, presenting technology, and a strong understanding of ML/GenAI solutions, with an emphasis on leveraging AI tools to accelerate productivity and connect customer business problems with Snowflake's solutions. While the role uses AI tools and requires experience in building AI solutions, its primary function is sales enablement and customer engagement, not direct AI model development or research.

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

  • 10+ years of industry experience
  • 5+ years within a pre-sales environment
  • Outstanding presenting skills to both technical and executive audiences
  • 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud.
  • Proactive curiosity for the AI landscape
  • Proven ability to leverage AI code generation tools to accelerate productivity and efficiency.
  • 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.

Nice to have

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

What the JD emphasized

  • 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud.
  • A proven ability to leverage AI code generation tools to accelerate productivity and efficiency.