Senior AI Solution Engineer, Enterprise Data

Snowflake; California (MO); On-site; USD 165,000 - 217,000; Full time

Job summary

Snowflake is seeking a Senior Solution Engineer to solve customers' complex problems, close large deals, and work with sales teams and channel partners to translate needs into solutions. You will deliver value-based demonstrations, guide proofs of concept, and drive design and implementation, blending business context with technical depth.

You will present Snowflake’s vision to executives and technical audiences, stay current on data warehousing and cloud AI, and collaborate across Product,

Qualifications

• 7-8 years of industry experience with a minimum of 5 years within a pre-sales environment.
• Outstanding presenting skills to technical and executive audiences.

Responsibilities

• Present Snowflake technology and vision to executives and technical contributors at prospects and customers.
• Demonstrate and communicate the value of Snowflake throughout the sales cycle, from demo to proof of concept to design and implementation.
• Immerse in the evolving industry, understanding competitive technologies and positioning Snowflake accordingly.
• Collaborate with Product Management, Engineering, and Marketing to improve Snowflake products and marketing.

Skills

Public speaking

SQL

SQL analytics

Python

Machine learning

Generative AI

Data warehousing

Executive communication

Travel readiness

Education

Bachelor's degree in CS/Engineering/Math or related fields

Masters in Data Science or MBA is a plus

Tools

Snowflake platform

Cloud platforms (AWS/Azure/GCP)

POC demonstration tooling

Job description

Snowflake is seeking a Senior Solution Engineer to solve customers' complex problems, close large deals, and work with sales teams and channel partners to translate needs into solutions. You will deliver value-based demonstrations, guide proofs of concept, and drive design and implementation, blending business context with technical depth.

You will present Snowflake’s vision to executives and technical audiences, stay current on data warehousing and cloud AI, and collaborate across Product,