Strategic Sales Engineer
Monte Carlo DataSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Enterprise Software, AI & Machine LearningIndustries
Requirements
Candidates should have sales engineering or solution architect experience in a SaaS environment or relevant industry experience such as analytics, data science, or data engineering. Outstanding presentation skills are required for both technical and executive audiences, along with an understanding of data architecture, data analytics, and cloud technology. Hands-on experience with SQL is essential, and candidates should possess customer-facing skills to effectively communicate the company's vision to diverse audiences. Preferred qualifications include hands-on experience with Python and familiarity with modern data technologies.
Responsibilities
The Commercial 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 and communicate 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, collaborating with other sales engineers for continuous improvement, and working closely with Product Management, Engineering, and Marketing to enhance Snowflake’s products. Additionally, they will represent Snowflake at industry or customer events and collaborate with ecosystem and implementation partners to build joint architectures or account strategies.
Skills
SQL
Data Architecture
Data Analytics
Cloud Technology
Data Modeling
Solution Architect
Presentation Skills
Technical Communication
Customer Communication
Sales Engineering
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