Senior Sales Engineer
ClariSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise SoftwareIndustries
Requirements
Candidates must have extensive sales engineering or solution architect experience in a SaaS environment or relevant industry experience such as analytics, data science, or data engineering. A proven track record of delivering technical wins and building strong customer relationships is essential. Outstanding presentation skills for both technical and executive audiences are required, along with an understanding of data architecture, data analytics, and cloud technology. Hands-on experience with SQL and the ability to solve customer-specific business problems using Snowflake's solutions are also necessary.
Responsibilities
The Senior Sales Engineer will present Snowflake’s technology and vision to executives and technical contributors at prospects and customers. They will work hands-on with prospects and customers to demonstrate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation. The role involves creating and developing technical champions in accounts to drive deals and achieve technical wins. The engineer will stay updated on industry trends, maintain a deep understanding of competitive technologies, and collaborate with other sales engineers to enhance team performance. Additionally, they will work closely with Product Management, Engineering, and Marketing to improve Snowflake’s products and represent the company at industry or customer events.
Skills
SQL
Data Architecture
Data Analytics
Cloud Technology
Presentation Skills
Solution Architect
SaaS
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