Senior Solution Engineer, Telecommunications

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Snowflake

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2012

☁️ SaaS

🏢 Enterprise

🤝 B2B

SaaS • Enterprise • B2B

Snowflake is a cloud-based data platform and data warehouse-as-a-service. It enables organizations to store, process, analyze, and share large volumes of structured and semi-structured data across multiple clouds, with separated scalable compute and storage, built-in security and data-sharing capabilities, and support for analytics and machine-learning workloads. Snowflake is delivered as a managed SaaS offering for enterprise customers and is primarily marketed and sold as a B2B product.

📋 Description

• Present Snowflake technology and vision to executives and technical contributors at prospects and customers • Work hands-on with prospects and customers to demonstrate and communicate Snowflake technology value throughout the sales cycle • Support demos, enterprise Proofs of Concept, design, and implementation • Work with the sales team and channel partners to understand customer needs and strategize winning sales cycles • Maintain deep knowledge of competitive and complementary technologies and vendors • Position Snowflake relative to competing and complementary technologies • Collaborate with Product Management, Engineering, and Marketing to improve products and marketing • Conduct deep discovery of customer architecture frameworks and connect them with Snowflake Data Architecture • Serve as a technical thought partner for customers navigating AI • Travel approximately 30%

🎯 Requirements

• 7–8 years of industry experience • Minimum 5 years of experience in a pre-sales environment • 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud • Broad experience with large-scale database and/or data warehouse technology, ETL, analytics, and cloud technologies • Experience with Data Lake, Data Mesh, or Data Fabric technologies • Hands-on expertise with SQL, SQL analytics, and Python • Outstanding presentation skills for technical and executive audiences • Ability to connect customer business problems with Snowflake solutions • Ability to conduct deep discovery of customer architecture frameworks and connect them with Snowflake Data Architecture • Proactive curiosity about the AI landscape • Ability to leverage AI code generation tools • University degree in computer science, engineering, mathematics, or related fields, or equivalent experience preferred • Experience with GSIs such as EY, Deloitte, or Accenture beneficial but not required • Willingness to travel approximately 30% • Ability to comply with Snowflake confidentiality and security standards

🏖️ Benefits

• Commission plan eligibility • Equity plan eligibility • Medical insurance • Dental insurance • Vision insurance • Life insurance • Disability insurance • 401(k) retirement plan • Flexible spending account • Health savings account • At least 12 paid holidays • Paid time off • Parental leave • Employee assistance program • Other company benefits