Enterprise AI Solution Engineer: Data & Demos that Drive Impact
Snowflake
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Benefits offered by this job
Job summary
Snowflake is seeking a customer-facing Solution Engineer in Nashville, TN or Florida to partner with Sales, guiding customers from raw data to real AI impact. You will architect scalable data and AI solutions, deliver compelling demos, and influence complex buying decisions across executive and technical audiences.
The role requires strong SQL, Python for analytics/ML, and exceptional communication skills. It offers a competitive compensation package with a base salary, on-target earnings, and
Qualifications
- Strong SQL proficiency and experience with modern data warehousing.
- Experience using Python for analytics or ML workflows.
- Familiarity with AI/ML concepts, including Generative AI and LLMs.
- Exceptional communication skills across technical and executive audiences.
- Ability to influence stakeholders and maintain credibility under pressure.
- Growth mindset with a track record of learning and adapting quickly.
Responsibilities
- Lead customer conversations on AI strategy and data modernization.
- Design and demonstrate scalable data and AI solutions using SQL and Python.
- Support enterprise Proof of Concepts from concept to value realization.
- Translate complex technical concepts into measurable business outcomes.
- Navigate objections and competitive dynamics in high-stakes sales cycles.
- Leverage AI tools to personalize demos, accelerate preparation, and enhance delivery.
Skills
Tools
Job description
Snowflake is seeking a customer-facing Solution Engineer in Nashville, TN or Florida to partner with Sales, guiding customers from raw data to real AI impact. You will architect scalable data and AI solutions, deliver compelling demos, and influence complex buying decisions across executive and technical audiences.
The role requires strong SQL, Python for analytics/ML, and exceptional communication skills. It offers a competitive compensation package with a base salary, on-target earnings, and
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