
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.
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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.
• Lead, hire, and develop a multi-layer Solution Engineering organization supporting Majors accounts • Own the technical strategy for the Majors segment and align SE resources to revenue goals with Sales leadership • Set the architecture vision for Majors customers on the Snowflake AI Data Cloud across data warehousing, Snowpark, Cortex AI, native apps, and secure data sharing • Champion agentic and generative AI adoption, guiding customers from proof of concept to production at enterprise scale • Serve as executive technical sponsor for top Majors accounts and build relationships with senior customer stakeholders • Partner with Product and Engineering to feed enterprise field insights into the roadmap • Build repeatable technical sales motions, enablement, and value-engineering frameworks • Own technical win rate, POC conversion, and SE-influenced pipeline metrics and drive continuous improvement
• 15+ years of experience in solution engineering, presales, or technical field leadership • Significant experience leading enterprise or Majors segment teams • Track record of building and scaling multi-layer SE organizations • Experience hiring and developing frontline managers and senior individual contributors • Deep experience selling and architecting cloud data platforms, analytics, or AI solutions into the largest enterprise accounts • Executive presence and ability to build credibility with senior customer stakeholders on business and technical outcomes • Fluency in modern data architecture and applied AI • Judgment to guide customers on agentic and generative AI use cases • Strong partnership skills with Sales leadership • Proven ability to align technical resources to revenue outcomes • Bachelor's degree in a technical field, or equivalent experience
• 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
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