Senior Solution Engineer (AI)

TL;DR

Senior Solution Engineer (AI): Delivering hands-on technical solutions and demonstrations for prospects and customers across the sales cycle, with an accent on data architecture, SQL, and cloud technology. Focus on designing proof of concept and implementation approaches, building technical champions, and positioning Snowflake’s roadmap while applying AI/data science and machine learning capabilities to solve complex customer problems.

Company

Snowflake powers the agentic enterprise with data and AI-driven technology.

What you will do

• Present Snowflake’s technology and vision to executive and technical audiences.
• Work hands-on with prospects and customers to demonstrate value from demo to proof of concept to design and implementation.
• Create and develop technical champions to drive deals and achieve technical wins.
• Present Snowflake roadmap features and maintain deep understanding of competitive and complementary technologies.
• Collaborate with Product Management, Engineering, and Marketing to improve products and marketing.
• Represent Snowflake at industry/customer events and co-develop account and territory plans with the ecosystem and implementation partners.

Requirements

• Solution engineering/solution architect experience in a SaaS environment (or relevant industry experience such as analytics, data science, or data engineering).
• Strong presentation skills for both technical and executive audiences.
• Experience with data architecture, data analytics, and cloud technology.
• Hands-on experience with SQL.
• Ability to solve customer-specific business problems and communicate solutions in written and verbal form.
• Experience with AI, data science, and machine learning technologies.

Nice to have

• Experience in Insurance.
• Hands-on experience with Python.
• Experience with modern data technology (e.g., dbt, Spark, containers, DevOps tooling, orchestration tools, Git).

Culture & Benefits

• Work in a fast-moving environment with an experimental mindset and rapid testing of emerging capabilities.
• Build long-term customer trust through low-ego, feedback-driven collaboration.
• Partner closely across sales engineering, product, engineering, and marketing to improve outcomes.
• Represent Snowflake in customer and industry settings and contribute to account strategy execution.

Hiring process

• Interviews focused on solution engineering experience, customer-facing communication, and technical problem-solving.
• Discussion of how you apply data/AI capabilities to drive evaluations and implementations.