Senior Solution Engineer, Retail & Consumer Goods

Snowflake
Menlo Park
Workplace: RemoteFull timeUSD 165,000 - 216,562 annuallyFunction: Solutions Engineering & Sales EngineeringEducation: bachelorsSkills: ["Presenting","Customer focus","Collaboration","Experimental mindset","Communicating technical value"]

Own the pre-sales technical customer journey for complex Retail & Consumer Goods opportunities, partnering with sales and channel partners to shape winning strategies and deliver value-based demonstrations. Build and deploy proofs of concept, guide design and implementation of Snowflake solutions, and provide executive-level presentations to both technical and business audiences. Stay current on competitive offerings and collaborate cross-functionally with Product, Engineering, and Marketing to improve Snowflake’s offerings.

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Snowflake
Snowflake
2 days ago

Senior Solution Engineer, Retail & Consumer Goods

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Last checked: 3 hours agoStatus: Live

Job Summary

Own the pre-sales technical customer journey for complex Retail & Consumer Goods opportunities, partnering with sales and channel partners to shape winning strategies and deliver value-based demonstrations. Build and deploy proofs of concept, guide design and implementation of Snowflake solutions, and provide executive-level presentations to both technical and business audiences. Stay current on competitive offerings and collaborate cross-functionally with Product, Engineering, and Marketing to improve Snowflake’s offerings.
Location: Menlo Park
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Present Snowflake technology and vision to executive and technical audiences at prospects and customers
  • •Demonstrate and communicate Snowflake value throughout the sales cycle from demo to proof of concept to design/implementation
  • •Develop deep discovery of customer architecture and align it to Snowflake data architecture
  • •Collaborate with Product Management, Engineering, and Marketing to improve Snowflake products and marketing
  • •Maintain competitive industry knowledge and position Snowflake relative to competing and complementary vendors
Travel: Medium travel

Pay and Benefits

Salary: USD 165,000 - 216,562 annually

Key Requirements

  • •7-8 years of industry experience with at least 5 years in a pre-sales environment
  • •Experience building and deploying machine learning and generative AI solutions in the cloud (5+ years)
  • •Strong hands-on SQL analytics and Python skills
  • •Broad experience with large-scale database/data warehouse, ETL, analytics, and cloud technologies (e.g., data lake, data mesh, data fabric)
  • •Ability to present effectively to technical and executive audiences; university degree in a related field preferred (CS/engineering/math)
Experience:Pre-salesMachine learningGenerative AIData warehousingCloudETLAnalytics
Education:Bachelor's
Skills:PresentingCustomer focusCollaborationExperimental mindsetCommunicating technical value
Tech Stack:SQLPythonMachine learningGenerative AICloudData lakeData meshData fabricETLAnalyticsData warehousingProof of concept

Company Brief

Snowflake
Provides a cloud-native data platform for data warehousing, data engineering, data science, and analytics, enabling organizations to store, process, and share large-scale data across multiple cloud providers with elastic scalability and performance.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Bozeman, United States
Founded: 2012
WebsiteLinkedIn