Senior AI/ML Flex Solution Engineer

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Snowflake

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.

📋 Description

• Partner with regional Account Executives and Solution Engineers to identify, qualify, and develop AI/ML opportunities within US Major Accounts • Conduct technical presentations, product demonstrations, and AI/ML-focused workshops • Architect and prototype foundational AI/ML solutions and proof-of-concepts demonstrating business value • Serve as the technical bridge between customers and central AI/ML Product and Engineering teams • Synthesize customer feedback and emerging requirements • Advise internal teams and customers on the competitive landscape and AI/ML industry trends • Drive sales acceleration through hands-on AI-assisted development of MVPs and functional prototypes • Lead rapid technical builds of customized AI/ML prototypes to secure technical wins and influence regional consumption • Provide technical support and capacity augmentation for regional SE teams in complex AI/ML sales cycles • Develop and deliver AI/ML training materials and technical guidance for the US Majors SE organization • Document successful solution patterns and best practices in a centralized knowledge base • Travel up to 30–40% to support critical customer engagements across assigned regions

🎯 Requirements

• 2+ years of hands-on experience with AI/ML concepts, including data preparation, supervised and unsupervised model training, deployment, and monitoring • Level 200–300 AI/ML technical knowledge • Ability to design robust AI/ML solutions • Ability to discuss common AI/ML algorithms and frameworks • Ability to implement standard MLOps pipelines • Ability to translate AI/ML experience into Snowflake customer solutions • Excellent communication, presentation, and interpersonal skills • Ability to explain complex technical topics to technical and non-technical audiences • Ability to travel 30–40% of the time • Ability to comply with Snowflake confidentiality and security standards • Ability to handle sensitive customer data securely and confidentially

🏖️ Benefits

• Commission plan eligibility • Total on-target earnings of $220,000 - $288,750 • 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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