Solution Engineer

Snowflake
Oslo
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Coach-ability","Curiosity","Communication"]

Partner with account teams to understand customer needs and lead technical evaluations for Snowflake’s AI Data Cloud. Deliver the technology story to audiences ranging from engineers to C-suite leaders, run hands-on demos and proofs of concept, and act as a trusted advisor to drive efficient adoption and long-term value. Collaborate with Solution Engineers, Product, and Engineering to secure technical wins, refine the product roadmap, and compete effectively in the market.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Snowflake
Snowflake
1 month ago

Solution Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live
Reposted: similar role first listed 4 months ago

Job Summary

Partner with account teams to understand customer needs and lead technical evaluations for Snowflake’s AI Data Cloud. Deliver the technology story to audiences ranging from engineers to C-suite leaders, run hands-on demos and proofs of concept, and act as a trusted advisor to drive efficient adoption and long-term value. Collaborate with Solution Engineers, Product, and Engineering to secure technical wins, refine the product roadmap, and compete effectively in the market.
Location: Oslo
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Deliver Snowflake’s technology story from technical contributors through C-suite executives.
  • •Conduct deep-dive demos and proofs of concept (POCs) that translate features into business value.
  • •Advise customers on efficient and effective use of Snowflake to drive long-term value and sustainable growth.
  • •Collaborate with Solution Engineers, Product, and Engineering teams to drive technical wins and refine the product roadmap.
  • •Stay current on the industry and position Snowflake against competitive and complementary technologies.

Key Requirements

  • •Proficiency in SQL is required.
  • •Bring a technical edge, such as hands-on AI/ML experience (models, LLMs, or neural networks) or significant hands-on experience with Snowflake or similar platforms.
  • •Demonstrate coach-ability: be humble, hungry to learn, and receptive to constructive feedback while still speaking up.
  • •Maintain curiosity by staying current with trends in AI, data architecture, and cloud ecosystems.
  • •Bridge deep technical work and high-level business strategy through strong communication.
Skills:Coach-abilityCuriosityCommunication
Tech Stack:SQLPythonDbtSparkGitAIMLLLMsNeural networks

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