Senior AI Solutions Engineer — Data & Strategy

PreSales Collective; San Mateo (FL); On-site; USD 138,000 - 181,000; Full time

Benefits offered by this job

Healthcare

401(k) retirement plan

Paid holidays

Parental leave

Employee assistance program

Job summary

Snowflake is seeking AI-native thinkers to lead customer conversations on AI strategy and data modernization. You will design scalable data and AI solutions using SQL and Python, enabling enterprise PoCs from concept to value realization.

Ideal candidates bring 5+ years of industry experience, strong SQL and Python skills, and a solid understanding of AI/ML concepts. This role is based in the US with a hybrid schedule at the Menlo Park office, offering a competitive compensation package and

Qualifications

• 5+ years of industry experience.
• Strong SQL proficiency.
• 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

5+ years industry experience

Exceptional communication

Growth mindset

Tools

SQL

Python

Job description

Snowflake is seeking AI-native thinkers to lead customer conversations on AI strategy and data modernization. You will design scalable data and AI solutions using SQL and Python, enabling enterprise PoCs from concept to value realization.

Ideal candidates bring 5+ years of industry experience, strong SQL and Python skills, and a solid understanding of AI/ML concepts. This role is based in the US with a hybrid schedule at the Menlo Park office, offering a competitive compensation package and