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Описание вакансии
Текст:
TL;DR
Senior Solution Engineer (AI): Demonstrating and deploying Snowflake data, machine learning, and generative AI solutions for enterprise customers across complex sales cycles with an accent on technical discovery, value-based demonstrations, and proofs of concept. Focus on connecting customer architectures to Snowflake Data Architecture, presenting to executive and technical audiences, and closing large deals through strategic collaboration with sales, partners, Product Management, Engineering, and Marketing.
Location: Remote, United States; approximately 30% travel
Salary: $165,000–$216,562 annually
Company
Snowflake provides cloud data platform technology designed to make data accessible, usable, and valuable.
What you will do
- Present Snowflake technology and vision to executives, technical contributors, prospects, and customers.
- Demonstrate Snowflake’s value throughout the sales cycle, from initial demos through proofs of concept, design, and implementation.
- Work with sales teams and channel partners to understand customer needs, shape winning sales strategies, and close large deals.
- Perform deep discovery of customer architectures and connect business problems with Snowflake Data Architecture.
- Track competitive and complementary technologies and collaborate with Product Management, Engineering, and Marketing to improve products and messaging.
Requirements
- 5–7+ years of industry experience, including at least 5 years in a pre-sales environment.
- 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud.
- Hands-on expertise with SQL, SQL analytics, Python, databases, data warehouses, ETL, analytics, and cloud technologies.
- Strong presentation skills for technical and executive audiences, including impromptu whiteboard sessions, presentations, and demos.
- Ability to connect customer business problems and architecture frameworks with Snowflake solutions.
- Degree in computer science, engineering, mathematics, or a related field, or equivalent experience.
Nice to have
- Master’s degree in data science or business administration.
- Experience working with global systems integrators such as EY, Deloitte, or Accenture.
Culture & Benefits
- Customer-obsessed environment focused on delivering measurable value.
- Culture of continuous learning, open feedback, curiosity, and experimentation.
- Emphasis on challenging conventional thinking and accelerating innovation.
- Employees are expected to follow confidentiality and data security standards when handling sensitive customer information.
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