Sales Engineer
Vantage200,000 - 250,000 USD/year
- Full Time
- Junior (1 to 2 years)
Not SpecifiedCompensation
Entry Level & New GradExperience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise Software, Data & AnalyticsIndustries
Requirements
Candidates should have a university degree in Computer Science, Engineering, Mathematics, or related fields, or equivalent experience. A deep interest in translating customer needs into technical solutions is essential, along with a passion for technology and a willingness to learn. Candidates should possess the ability to present technical topics to diverse audiences and have 1-3 years of industry experience, which may include internships, focusing on data analytics, pre-sales, solution architecture, or data engineering.
Responsibilities
The Associate Solution Engineer will participate in the Snowmaker training program, learning Snowflake's technology portfolio and sales process. They will present Snowflake technology to customers, work with Sales Engineers to demonstrate product value, and maintain an understanding of competitive technologies. Additionally, they will collaborate with Product Management, Engineering, and Marketing to enhance products, provide post-sales technical guidance, and contribute to Sales Engineering initiatives.
Skills
Snowflake
Sales Engineering
Technical Solutions
Customer Needs
Competitive Technologies
Demo
Proof of Concept
Design
Implementation
Technical Guidance
Digital Transformation
Snowflake
Data management and analytics platform
About Snowflake
Snowflake provides a platform called the AI Data Cloud that helps organizations manage and analyze their data. This platform allows users to store and process large amounts of data efficiently, offering services like data warehousing, data lakes, data engineering, data science, and data sharing. Snowflake's system works by uniting data from different sources, enabling secure sharing and performing various types of analytics. What sets Snowflake apart from its competitors is its ability to operate seamlessly across multiple public clouds, allowing users to access their data from anywhere. The company's goal is to help businesses leverage their data for better decision-making by providing a flexible subscription-based service that scales according to their needs.
Key Metrics
Bellevue, WashingtonHeadquarters
2012Year Founded
$1,341.3MTotal Funding
IPOCompany Stage
Data & Analytics, Enterprise Software, AI & Machine LearningIndustries
5,001-10,000Employees