AI Solutions Engineer — Data & AI Strategy

Snowflake

San Mateo (CA)

Hybrid

USD 138,000 - 181,125

Full time

14 days+

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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
401(k)

Job summary

Snowflake is seeking a customer-facing Solution Engineer in the United States to guide customers from raw data to real AI impact. You will partner with Sales to architect scalable data and AI solutions, deliver compelling demos, and influence buying decisions across executive and technical audiences.

Location: Menlo Park office 2/3 days a week in a hybrid setup. We value 5+ years of experience, strong SQL and Python skills for analytics or ML workflows, and familiarity with Generative AI and

Qualifications

  • 5+ years of industry experience.
  • 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.

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

SQL proficiency
Python
AI/ML concepts
Executive communication
Stakeholder influence

Job description

Snowflake is seeking a customer-facing Solution Engineer in the United States to guide customers from raw data to real AI impact. You will partner with Sales to architect scalable data and AI solutions, deliver compelling demos, and influence buying decisions across executive and technical audiences.

Location: Menlo Park office 2/3 days a week in a hybrid setup. We value 5+ years of experience, strong SQL and Python skills for analytics or ML workflows, and familiarity with Generative AI and

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