Senior Solution Engineer, Manufacturing

Snowflake
Chicago, Austin, Boston, St. Louis
Workplace: RemoteFull timeUSD 165,000 - 216,562 annuallyFunction: Manufacturing & Production OperationsEducation: bachelorsSkills: ["Customer-focused","Presenting","Discovery","Strategic problem-solving","Collaboration"]

Own customer-facing solutioning for complex enterprise sales cycles, partnering with the sales team and channel partners to understand customer needs, run discovery, and deliver value-based demonstrations. Support proof of concepts through design and implementation, positioning Snowflake against competitive and complementary technologies. Collaborate with Product, Engineering, and Marketing to improve solutions and marketing, while staying current on AI and cloud capabilities.

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Snowflake
Snowflake
2 days ago

Senior Solution Engineer, Manufacturing

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Own customer-facing solutioning for complex enterprise sales cycles, partnering with the sales team and channel partners to understand customer needs, run discovery, and deliver value-based demonstrations. Support proof of concepts through design and implementation, positioning Snowflake against competitive and complementary technologies. Collaborate with Product, Engineering, and Marketing to improve solutions and marketing, while staying current on AI and cloud capabilities.
Location: Chicago, Austin, Boston, St. Louis
Workplace: Remote
Employment Type: Full time
Job Function: Manufacturing & Production Operations
Seniority: Mid level

Key Responsibilities

  • •Present Snowflake technology and vision to executives and technical audiences throughout the sales cycle.
  • •Work hands-on with prospects and customers to demonstrate and communicate value from demo through proof of concept and implementation.
  • •Perform deep discovery of customer architecture frameworks and connect them to Snowflake data architecture.
  • •Maintain expertise on competitive and complementary technologies to position Snowflake effectively.
  • •Collaborate with Product Management, Engineering, and Marketing to improve Snowflake products and go-to-market materials.
Travel: High travel

Pay and Benefits

Salary: USD 165,000 - 216,562 annually

Key Requirements

  • •7-8 years of industry experience, including at least 5 years in a pre-sales environment.
  • •5+ years building and deploying machine learning and generative AI solutions in the cloud.
  • •Experience across large-scale database/data warehouse and/or ETL, analytics, and cloud technologies (e.g., Data Lake, Data Mesh, Data Fabric).
  • •Hands-on expertise with SQL and Python.
  • •University degree in computer science, engineering, mathematics, or related field (or equivalent experience).
Experience:Machine learningGenerative AIData warehousingETLCloudEnterprise software
Education:Bachelor's in computer science, engineering, mathematics or related fields
Skills:Customer-focusedPresentingDiscoveryStrategic problem-solvingCollaboration
Tech Stack:SnowflakeSQLPythonMachine learningGenerative AICloudData LakeData MeshData FabricETLData warehousingAnalytics

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