Snowflake Logo

Snowflake

HQ
Bozeman
Total Offices: 10
9,023 Total Employees
Year Founded: 2012

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Jobs at Snowflake
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Recently posted jobs

13 Days AgoSaved
In-Office or Remote
5 Locations
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Database • Analytics
The AI Product Sales Specialist drives sales execution for Snowflake's AI/ML workloads, ensuring customer engagement and meeting revenue targets through tailored sales strategies.
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Database • Analytics
The Senior Data Platform Architect leads the design and architecture of Snowflake's Cloud Data Platform, collaborates with sales, and engages with customers to demonstrate value and support proof of concepts.
8 Days AgoSaved
Remote
US
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Database • Analytics
The AI Deployment Specialist drives sales of AI solutions, ensuring customer adoption and success through tailored strategies, collaboration, and comprehensive analysis.
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Database • Analytics
Lead the technical strategy for global accounts at Snowflake, driving adoption and mentoring teams while collaborating with Global Account Managers to secure business objectives.
17 Days AgoSaved
Remote
IL, USA
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Database • Analytics
The role involves providing AI/ML technical guidance on Snowflake, collaborating with sales teams, demonstrating value, and designing data architecture solutions for enterprise clients.
17 Days AgoSaved
In-Office or Remote
5 Locations
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Database • Analytics
Serve as an AI/ML-focused solution engineer for Healthcare & Life Sciences: provide technical guidance, design cloud data and lakehouse architectures on Snowflake, lead demos and proofs-of-concept, support sales cycles, collaborate with product and engineering, and communicate AI/ML value to technical and executive stakeholders.