Solution Engineer, Enterprise Acquisition (All Levels) | Remote - St. Louis, MO, United States | Solution Engineering
US-MO-Remote
Build the future of the AI Data Cloud. Join the Snowflake team.
We are looking for a Senior Sales Engineer who is accustomed to solving customer’s most complex problems and closing large deals. In this role you will work directly with the sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business.
As a Snowflake Sales Engineer you must share our passion about reinventing the database space, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences.
ABOUT OUR TEAM:
Our Sales Engineers are customer obsessed and we believe in the value we can add and stay honest about it. We love to learn, are open to giving and receiving feedback and are passionate about making our clients successful. Our team works to ensure data is accessible, usable and valuable to everyone.
IN THIS ROLE YOU WILL GET TO:
Present Snowflake 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
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.
Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing
ON DAY ONE WE WILL EXPECT YOU TO HAVE:
7-8 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.
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.
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
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
ApplyJob Profile
Benefits/Perks Tasks- Collaborate with product management
- Demonstrate value of technology
- Maintain industry knowledge
- Present technology to executives
AI Analytics Architecture Cloud Cloud Technologies Customer Discovery Data Data Architecture Database Database Technology Data Cloud Data Fabric Data Lake Data Mesh Data Security Data Warehouse Data warehouse technology Enterprise proof of concepts ETL Large-scale Database Marketing Presentation Product Management Python Sales Sales Engineering Snowflake Solution Engineering SQL SQL Analytics Value-based demonstrations
Experience7 years
EducationBusiness Administration Computer Science Datascience Engineering Master’s in business administration Masters in Data Science Mathematics Related fields University Degree
Timezones