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
Pharmaceuticals, Data & AnalyticsIndustries
Requirements
Candidates should have extensive sales engineering or solution architect experience in a SaaS environment or relevant industry experience, particularly in analytics, data science, or data engineering. Extensive experience in the Pharma and Life Sciences industry is required, along with a proven track record of delivering technical wins and building strong customer relationships. Outstanding presentation skills for both technical and executive audiences are essential, as well as 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 demos 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 Sales Engineer will stay updated on industry trends and competitive technologies, collaborate with sales engineers, and work closely with Product Management, Engineering, and Marketing to improve products and marketing efforts. Additionally, they will represent Snowflake at industry or customer events and collaborate with ecosystem and implementation partners on account strategies.
Skills
SQL
Data Architecture
Data Analytics
Cloud Technology
Problem-Solving
Presentation Skills
Technical Demonstrations
Customer Engagement
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.
Bellevue, WashingtonHeadquarters
2012Year Founded
$1,341.3MTotal Funding
IPOCompany Stage
Data & Analytics, Enterprise Software, AI & Machine LearningIndustries
5,001-10,000Employees