
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.
🔥 1 hour ago
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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.
• Build customer facing AI Functions portfolio of products • Design and implement highly scalable distributed platforms within the global Snowflake platform. • Participate in decision-making processes on technical or business issues. • Collaborate with engineers across teams to help deliver cross-functional initiatives. • Ensure operational readiness of the services and meet the commitments to our customers regarding reliability, availability and performance.
• 14+ years industry experience designing, building and supporting large-scale systems in production. • Passionate about AI/ML and NLP space • Deep multi-faceted appreciation in building end-to-end customer facing products. • Strong CS fundamentals, including proficiency with data structures, algorithms, and distributed systems (Fluency in Python, or Java preferred) • Knowledge of C, C++, Go is a big plus. • Experience working with cross teams and product managers. • BS/MS/PhD in Computer Science or related majors.
• Innovative culture • Opportunities for professional development
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