Sales Engineer
AlteraSalary not specified
- Full Time
- Junior (1 to 2 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Data & Analytics, Enterprise SoftwareIndustries
Requirements
Candidates should have extensive sales engineering or solution architect experience in Israel within a SaaS environment or relevant industry experience such as analytics, data science, or data engineering. Hands-on experience with cloud native ML and AI tools like Sagemaker, AzureML, and VertexAI is required. A proven track record of delivering technical wins and fostering strong customer relationships is essential, along with outstanding presentation skills for both technical and executive audiences.
Responsibilities
The Senior Sales Engineer will work directly with the account sales team and channel partners to understand customer needs and strategize support for evaluations. They will present Snowflake’s technology to executives and technical contributors, act as the technical expert for AI and ML workloads, and demonstrate the value of Snowflake technology throughout the sales cycle. Additionally, they will create and develop technical champions within accounts, serve as a trusted advisor for tailored solutions, collaborate with product management and engineering, and represent Snowflake at industry events.
Skills
Sales Engineering
Solution Architect
SaaS
Sagemaker
AzureML
VertexAI
Presentation Skills
AI
ML
Data Science
Data 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.
Bellevue, WashingtonHeadquarters
2012Year Founded
$1,341.3MTotal Funding
IPOCompany Stage
Data & Analytics, Enterprise Software, AI & Machine LearningIndustries
5,001-10,000Employees