Senior Solution Engineer (AI/ML, Generative AI)

TL;DR

Senior Solution Engineer (AI/ML, Generative AI): Deliver value-based demonstrations and enterprise proof of concepts for Snowflake while solving complex customer problems across the sales cycle with an accent on machine learning and generative AI solutions, SQL/Python, and data architecture discovery. Focus on closing large deals by connecting customer business needs and technical frameworks to Snowflake data architecture.

Location: Remote (US)

Salary: $165,000 – $216,562

Company

Snowflake builds a cloud data platform for modern data warehousing and analytics.

What you will do

• Present Snowflake technology and vision to executives and technical stakeholders at prospects and customers.
• Work hands-on with customers to demonstrate and communicate Snowflake value from demo to proof of concept to design and implementation.
• Support enterprise proof of concepts and help navigate winning sales cycles with the sales team and channel partners.
• Maintain deep understanding of competitive and complementary technologies to position Snowflake effectively.
• Collaborate with Product Management, Engineering, and Marketing to improve products and go-to-market materials.

Requirements

• 7+ years of industry experience, including 5+ years in a pre-sales environment.
• Outstanding presenting skills for both technical and executive audiences.
• 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud.
• Broad experience with large-scale database and/or data warehouse technology, ETL, analytics, and cloud technologies (e.g., data lake, data mesh, data fabric).
• Hands-on expertise with SQL and Python.
• Ability to do deep discovery of customer architecture and connect it to Snowflake data architecture.

Culture & Benefits

• Customer-obsessed approach with feedback-driven learning and continuous improvement.
• Experimental mindset: rapidly test emerging capabilities to find simpler, more powerful ways to deliver results.
• Approximately 30% travel expected.
• Accountability for supporting and enabling diversity and belonging.

Hiring process

• Interviews focused on solution engineering, customer-facing communication, and technical depth.
• Evaluation of experience across pre-sales cycles, demos/proofs of concept, and AI/data architecture work.