Enterprise Solution Engineer - AI & Data Platform

Snowflake

Delaware

On-site

USD 138,000 - 181,000

Full time

3 hours ago
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Benefits offered by this job

401(k) plan
Health/dental/vision insurance
Flexible PTO
Professional development budget

Job summary

Snowflake is seeking a Solution Engineer based in the US to drive customer success by presenting Snowflake capabilities to executives and technical teams. You will demonstrate value during the sales cycle, support enterprise PoCs, and collaborate with Product, Engineering and Marketing to refine solutions.

The role requires deep database expertise, strong SQL analytics, and Python skills, with target earnings including base salary and commission. A degree in CS/engineering is expected.

Qualifications

  • Outstanding presentation skills for both technical and executive audiences.
  • Extensive experience with Database and Data Warehouse technology.
  • Hands-on expertise with SQL and SQL analytics.
  • Python programming experience.
  • Understanding of AI/ML principles and best practices.
  • Degree in computer science, engineering, mathematics or equivalent experience.

Responsibilities

  • Present Snowflake technology and vision to executives and technical contributors.
  • Work hands-on with prospects to demonstrate value throughout the sales cycle.
  • Maintain deep understanding of competitive and complementary technologies.
  • Collaborate with Product Management, Engineering, and Marketing teams.
  • Support enterprise Proof of Concepts from design to implementation.

Skills

Presentation skills
Database technology
SQL
Python
AI/ML concepts

Education

Bachelor’s degree in computer science, engineering or mathematics

Job description

Snowflake is seeking a Solution Engineer based in the US to drive customer success by presenting Snowflake capabilities to executives and technical teams. You will demonstrate value during the sales cycle, support enterprise PoCs, and collaborate with Product, Engineering and Marketing to refine solutions.

The role requires deep database expertise, strong SQL analytics, and Python skills, with target earnings including base salary and commission. A degree in CS/engineering is expected.

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