
5001 - 10000 employees
Founded 2012
☁️ SaaS
Cloud Computing • Data Analytics • SaaS
Snowflake is a cloud-based data-warehousing company that provides a platform for data storage, processing, and analytics. It allows businesses to store data in a centralized location and perform complex queries and analytics on that data efficiently. Snowflake is designed to handle a wide range of data workloads and can scale dynamically to meet the needs of growing businesses.
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5001 - 10000 employees
Founded 2012
☁️ SaaS
Cloud Computing • Data Analytics • SaaS
Snowflake is a cloud-based data-warehousing company that provides a platform for data storage, processing, and analytics. It allows businesses to store data in a centralized location and perform complex queries and analytics on that data efficiently. Snowflake is designed to handle a wide range of data workloads and can scale dynamically to meet the needs of growing businesses.
• Conduct in-depth technical discovery sessions with prospects to understand their current environment, challenges, and specific observability requirements. • Tailor and deliver compelling product demonstrations and technical presentations that showcase how our solution addresses their needs. • Design, scope, and manage technical evaluations and Proof of Concepts, ensuring the successful setup and demonstration of value within the customer's environment. • Partner closely with Account Executives to develop and execute technical sales strategies. • Serve as the voice of the customer to the Product Management and Engineering teams, providing crucial feedback on product capabilities, market needs, and competitive landscape. • Develop and maintain technical sales collateral, including demo environments, presentations, and best practice guides. • Ability to travel to client sites and industry events as required.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. • 5+ years of experience as a Sales Engineer or Solutions Architect in the software industry. • Deep technical understanding and practical experience with modern Observability concepts (metrics, logging, tracing) and tools (e.g., Prometheus, OpenTelemetry, Grafana, ELK Stack). • Familiarity with cloud-native technologies (Kubernetes, Docker, Microservices) and major cloud platforms (AWS, Azure, GCP). • Strong verbal and written communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development opportunities
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