Snowflake

3 days ago

Senior Solution Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Solve enterprise customer problems and drive large deal closures by presenting Snowflake’s AI and ML vision, demonstrating value throughout the sales cycle, and supporting Proof of Concepts. Partner with Sales, channel partners, Product, Engineering, and Marketing to design end-to-end ML pipelines and GenAI applications in Snowflake. Leverage LLMs, RAG, vector search, and Snowflake AI features to build strategic solutions for both technical and executive audiences.

Location: Chicago

Workplace: Onsite

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, including AI and ML platform capabilities.
•Work hands-on with prospects to demonstrate value throughout the sales cycle using Cortex AI, Snowpark ML, and agentic workflow use cases.
•Support enterprise Proof of Concepts and implementation designs, including end-to-end ML pipelines and GenAI applications built on Snowflake.
•Design and demonstrate solutions leveraging LLMs, RAG, vector search, and Snowflake AI functions.
•Maintain knowledge of competitive and complementary technologies across data, AI, and ML ecosystems and collaborate cross-functionally to close business opportunities.

Pay and Benefits

Salary: USD 165,000 - 216,562 annually

Key Requirements

•Outstanding presentation skills for technical and executive audiences.
•Broad experience with database, data warehouse, ETL, and cloud technologies.
•Hands-on expertise with SQL and Python.
•Familiarity with machine learning concepts and frameworks (e.g., scikit-learn, PyTorch, TensorFlow).
•Working knowledge of LLMs, generative AI, prompt engineering, and embedding-based search, plus strong customer-facing communication.

Experience:Data warehouseETLCloudAI/MLGenAIMLOpsRAGPresales

Education:Bachelor's in computer science, engineering, mathematics (or equivalent experience)

Skills:PresentationCommunicationCustomer-facing communicationProblem-solvingBusiness-technical alignment

Tech Stack:SQLPythonCortex AISnowpark MLLLMsGenerative AIPrompt engineeringEmbedding-based searchRetrieval-augmented generation (RAG)Vector searchGenAIMachine learningScikit-learnPyTorchTensorFlowApache IcebergDelta LakeUnity CatalogPolarisDremio

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

Website LinkedIn

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Snowflake

3 days ago

Senior Solution Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Location: Chicago

Workplace: Onsite

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, including AI and ML platform capabilities.
•Work hands-on with prospects to demonstrate value throughout the sales cycle using Cortex AI, Snowpark ML, and agentic workflow use cases.
•Support enterprise Proof of Concepts and implementation designs, including end-to-end ML pipelines and GenAI applications built on Snowflake.
•Design and demonstrate solutions leveraging LLMs, RAG, vector search, and Snowflake AI functions.
•Maintain knowledge of competitive and complementary technologies across data, AI, and ML ecosystems and collaborate cross-functionally to close business opportunities.

Pay and Benefits

Salary: USD 165,000 - 216,562 annually

Key Requirements

•Outstanding presentation skills for technical and executive audiences.
•Broad experience with database, data warehouse, ETL, and cloud technologies.
•Hands-on expertise with SQL and Python.
•Familiarity with machine learning concepts and frameworks (e.g., scikit-learn, PyTorch, TensorFlow).
•Working knowledge of LLMs, generative AI, prompt engineering, and embedding-based search, plus strong customer-facing communication.

Experience:Data warehouseETLCloudAI/MLGenAIMLOpsRAGPresales

Education:Bachelor's in computer science, engineering, mathematics (or equivalent experience)

Skills:PresentationCommunicationCustomer-facing communicationProblem-solvingBusiness-technical alignment

Company Brief

Snowflake

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

Website LinkedIn