Solution Engineer

📋 Description

• Present & Vision-Set: Deliver Snowflake’s technology story to stakeholders from technical to
• Hands-on Proof: Conduct deep-dive demos and POCs translating features into business value.
• Healthy Consumption: Advise customers to use Snowflake efficiently for long-term value.
• Strategic Partnership: Collaborate with Solution Engineers, Product, and Engineering to drive
• Market Mastery: Stay at the cutting edge, position Snowflake against competitors.

🎯 Requirements

• The X Factor: Hands-on AI/ML expertise or strong experience with Snowflake or similar platforms.
• Coach-ability: Humble, eager to learn, receptive to feedback, proactive in communications.
• Curiosity: Follows latest trends in AI, data architecture, and cloud ecosystems.
• Communication: Bridge deep technical work and business strategy.
• Technical Foundation: Proficiency in SQL; Python or modern data stacks (dbt, Spark, Git) a plus.

🎁 Benefits

• Impact: Architect the AI Data Cloud for scalable data mobilization.
• Growth: Mentorship to develop a world-class Solution Engineering career.
• Culture: Big thinkers who challenge norms and prioritize customer success.