Senior Solution Engineer

Snowflake

. Present Snowflake technology and vision to executives and technical contributors at prospects and customers .

Posted 11/5/2026full-timeRemote • United StatesSenior💰 $165,000 - $216,562 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in presenting Snowflake technology to diverse audiences while leveraging extensive experience in building and deploying machine learning and generative AI solutions in cloud environments. Strong ability to connect customer business challenges with Snowflake solutions and collaborate effectively across teams.

Highest-signal resume keywords

Pre-Sales ExperienceMachine Learning SolutionsSQL AnalyticsCloud TechnologiesPresentation Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningGenerative AISQLPythonETLData Warehouse TechnologyDatabase TechnologyAnalyticsAI Code Generation ToolsSnowflake Data Architecture

Soft Skills

Outstanding Presenting SkillsProactive Curiosity

Tools & Technologies

SnowflakeCloud Platforms

Industry Keywords

Pre-Sales EnvironmentEnterprise Proofs of ConceptGSI ExperienceCustomer DiscoverySales Cycle Strategy

Tech Stack

Tools & technologies

CloudETLPythonSnowflakeSQL

About the role

Key responsibilities & impact

Present Snowflake technology and vision to executives and technical contributors at prospects and customers
Work hands-on with prospects and customers throughout the sales cycle, from demonstrations to proofs of concept to design and implementation
Understand competitive and complementary technologies and vendors and position Snowflake accordingly
Collaborate with Product Management, Engineering, and Marketing to improve Snowflake products and marketing
Work directly with sales teams and channel partners to understand customer needs and strategize winning sales cycles
Support enterprise Proofs of Concept and close business

Requirements

What you’ll need

6+ years of industry experience with a minimum of 5 years within a pre-sales environment
Outstanding presenting skills to both technical and executive audiences
5+ years of experience building and deploying machine learning and generative AI solutions in the cloud
Proactive curiosity for the AI landscape
Proven ability to leverage AI code generation tools
Experience with large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies
Hands-on expertise with SQL, SQL analytics, and Python
Ability to connect customer business problems with Snowflake solutions
Ability to perform deep discovery of customer architecture and connect it with Snowflake Data Architecture
Experience with GSIs would be beneficial but is not required
Approximately 30% travel
University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred; not required
Must comply with Snowflake confidentiality and security standards