
5001 - 10000 employees
Founded 2012
💼 Consulting
📣 Marketing
Consulting • Marketing • Cloud Computing
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.
🕒 July 28
Where this job comes from
Posted on Snowflake's careers page, not through a job board
First seen by Remote Rocketship July 28
Still open on Snowflake's site. Checked 8 hours ago.

5001 - 10000 employees
Founded 2012
💼 Consulting
📣 Marketing
Consulting • Marketing • Cloud Computing
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.
• 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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