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Snowflake COMMERCIAL SALES ENGINEER Germany, Berlin, Berlin 83845
24.09.2024
In this role you will get to:
- 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
- Fluency in German language - written & spoken
- 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
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