Senior Solution Engineer, Financial Services

Snowflake Snowflake · Data AI · New York, NY · Remote · Solution Engineering

Senior Solution Engineer for Financial Services at Snowflake, focusing on understanding customer needs, strategizing sales cycles, providing demonstrations, supporting Proof of Concepts, and closing business. The role involves working with sales teams and channel partners, presenting Snowflake technology, and collaborating with internal teams. Requires experience in pre-sales, presenting to technical and executive audiences, and building/deploying ML and generative AI solutions in the cloud. Must have a proactive curiosity for the AI landscape and leverage AI code generation tools.

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

  • 5-7+ 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.
  • 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.
  • 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.

Nice to have

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

What the JD emphasized

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