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Четкая рольСредняя зарплатаПродуктовая компанияФокус на ИИ
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Solution Engineer (AI) (Data Architecture/Generative AI): Guiding customers from raw data to AI impact by architecting scalable data and AI solutions, delivering demos, and supporting enterprise proofs of concept with an accent on SQL, Python, modern data warehousing, and executive communication. Focus on leading AI strategy conversations, translating complex technical concepts into measurable business outcomes, and navigating high-stakes enterprise sales cycles.
Location: US-NY-New York
Salary: $165,000–$216,562 per year
Company
Snowflake provides modern data architecture and AI capabilities for enterprise customers.
What you will do
Partner with Sales to guide customers from raw data to measurable AI impact.
Lead customer conversations focused on AI strategy and data modernization.
Design and demonstrate scalable data and AI solutions using SQL and Python.
Support enterprise proofs of concept from initial concept through value realization.
Translate complex technical concepts into measurable business outcomes for technical and executive audiences.
Navigate objections, competitive dynamics, and complex buying decisions during high-stakes sales cycles.
Requirements
Strong SQL proficiency and experience with modern data warehousing.
Experience using Python for analytics or machine learning 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.
Culture & Benefits
AI tools are used to personalize demos, accelerate preparation, and enhance delivery.
Work in a dynamic, fast-moving environment with an experimental mindset.
Contribute to a culture that values low-ego collaboration, innovation, and challenging ordinary thinking.
Follow company confidentiality and security standards when handling sensitive customer data.
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