Senior Solution Engineer, Retail & Consumer Goods

Snowflake

Senior Solution Engineer helping Snowflake sell cloud data, database, and AI solutions to US retail and consumer-goods customers. Presenting solutions, leading proofs of concept, and closing enterprise deals.

Posted 8/25/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $165,000 - $216,562 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Snowflake technology and its application in solving customer business problems, with a strong focus on machine learning and generative AI solutions. Possesses outstanding presentation skills for engaging technical and executive audiences while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Snowflake Technology ExpertiseMachine Learning SolutionsSQL AnalyticsCloud TechnologiesPre-Sales Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonMachine LearningGenerative AIData Warehouse TechnologyETLAnalyticsCloud SolutionsTechnical PresentationsCustomer Discovery

Soft Skills

Proactive CuriosityCommunicationCollaborationProblem-SolvingTechnical Thought Partner

Tools & Technologies

AI Code Generation ToolsSnowflake Data Architecture

Industry Keywords

Pre-Sales EnvironmentEnterprise Proofs of ConceptCompetitive TechnologiesGSI ExperienceCustomer Needs Analysis

Tech Stack

Tools & technologies

CloudETLPythonSQL

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 and proofs of concept through design and implementation
Demonstrate and communicate the value of Snowflake technology
Maintain deep knowledge of competitive and complementary technologies and vendors
Position Snowflake against competitive and complementary technologies
Collaborate with Product Management, Engineering, and Marketing to improve products and marketing
Work with sales teams and channel partners to understand customer needs and navigate winning sales cycles
Support enterprise Proofs of Concept and close business

Requirements

What you’ll need

5–7+ years of industry experience, including a minimum of 5 years in a pre-sales environment
Outstanding presenting skills for 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 and ability to serve as a technical thought partner
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
University degree in computer science, engineering, mathematics, or related fields, or equivalent experience preferred
Experience with GSIs such as EY, Deloitte, or Accenture beneficial but not required
Ability and willingness to travel approximately 25–30%

Benefits

Comp & perks

Equity plan
Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
401(k) retirement plan
Flexible spending account
Health savings account
At least 12 paid holidays
Paid time off
Parental leave
Employee assistance program
Commission plan