
5001 - 10000 employees
Founded 2012
☁️ SaaS
Cloud Computing • Data Analytics • SaaS
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.
🔥 0 minutes ago
🏄 California – Remote
💵 $165k - $216.6k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
💻 Solutions Engineer
🦅 H1B Visa Sponsor
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5001 - 10000 employees
Founded 2012
☁️ SaaS
Cloud Computing • Data Analytics • SaaS
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.
• Partner with regional Account Executives (AEs) and Solution Engineers (SEs) to identify, qualify, and develop AI/ML opportunities within USMajors accounts • Conduct technical presentations, product demonstrations, and workshops focused on our AI/ML portfolio (e.g., platforms, services, and MLOps tools) • Architect and prototype foundational AI/ML solutions, including proof-of-concepts (PoCs) that demonstrate clear business value • Serve as the technical bridge between customers and the central AI/ML Product and Engineering teams, synthesizing customer feedback and emerging requirements • Drive sales acceleration through AI-assisted "hands-on-keyboard" development, creating Minimum Viable Products (MVPs) and functional prototypes that quickly demonstrate platform capability and time-to-value • Lead the rapid technical build of customized AI/ML prototypes to secure technical wins and directly influence incremental consumption for the region
• 2+ years of hands-on experience with AI/ML concepts, such as data preparation, model training (supervised/unsupervised), deployment, and monitoring • Ability to translate this experience directly into how Snowflake can help advance the customer’s AI/ML initiatives • Possesses Level 200-300 knowledge of AI/ML: capable of designing robust solutions, discussing common algorithms and frameworks, and implementing standard MLOps pipelines • Excellent communication, presentation, and interpersonal skills, with the ability to explain complex technical topics to both technical and non-technical audiences
• Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data • Snowflake employees must abide by the company’s data security plan as an essential part of their duties
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