Snowflake COMMERCIAL SALES ENGINEER - FRANCE 

France, Ile-de-France 

973063167

Present Snowflake’s technology and vision to executives and technical contributors at prospects and customers

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

Create and develop technical champions in your accounts to drive deals and achieve a technical win

Be at the cutting edge of Snowflake technology and confidently present Snowflake roadmap features and functionality to customers and/or prospects

Immerse and enable 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

Work closely with other sales engineers to make each other the best and constantly learn from wins and losses

Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing

Represent Snowflake at industry or customer events

Work with our ecosystem and implementation partners to build joint architectures or collaborate on account strategies and initiatives to help our customers be successful

Sales engineering/solution architect experience in a SaaS environment or relevant industry experience (analytics, data science, data engineering etc)

Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos

Understanding of and experience with data architecture, data analytics and cloud technology

Hands on experience with SQL

Ability to solve customer specific business problems and apply Snowflake’s solutions

Customer-facing skills to effectively communicate our vision to a wide variety of technical and executive audiences both written and verbal

Hands on experience with Python

Experience working with modern data technology (e.g. dbt, spark, containers, devops tooling, orchestration tools, git, etc.)

Experience with data science and machine learning technology