Senior Solution Engineer, Media & Entertainment

Snowflake Snowflake · Data AI · CA-Bay Area, United States · Remote · Solution Engineering

Senior Solution Engineer for Snowflake, focusing on AI-native solutions within the Media & Entertainment sector. This role involves understanding customer needs, demonstrating Snowflake's value, supporting sales cycles, 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, along with strong database, data warehousing, and cloud technology expertise.

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
  • 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.
  • 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

  • building and deploying machine learning and generative AI solutions in the cloud