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Описание вакансии
Текст:
TL;DR
Solution Engineer (AI/ML): Presenting and demonstrating Snowflake’s data platform to executives and technical audiences while supporting enterprise proof-of-concepts and sales cycles with an accent on database, data warehouse, cloud, SQL, Python, and AI/ML expertise. Focus on connecting complex customer problems to Snowflake solutions, designing and implementing proof-of-concepts, and positioning the platform against competitive technologies.
Location: Remote in Brazil; candidates must be located within commuting distance of São Paulo, Brazil
Company
Snowflake provides data platform technology focused on making data accessible, usable, and valuable to organizations.
What you will do
- Present Snowflake technology and vision to executive and technical audiences.
- Partner with sales teams and channel partners to understand customer needs and navigate complex sales cycles.
- Deliver value-based demonstrations and support enterprise proof-of-concepts from demo through design and implementation.
- Connect customer business problems with Snowflake solutions and help close large deals.
- Track competitive and complementary technologies and position Snowflake effectively.
- Collaborate with Product Management, Engineering, and Marketing to improve products and marketing.
Requirements
- Must be located within commuting distance of São Paulo, Brazil.
- Strong presentation skills for both technical and executive audiences, including impromptu whiteboarding, presentations, and demos.
- Broad experience with large-scale databases or data warehouses, ETL, analytics, and cloud technologies.
- Hands-on expertise with SQL and SQL analytics.
- Hands-on experience with Python.
- Understanding of AI/ML principles and best practices; a degree in computer science, engineering, mathematics, or a related field is preferred.
Culture & Benefits
- Customer-obsessed environment focused on delivering measurable client value.
- Collaborative culture with open feedback and continuous learning.
- AI-native, experimental approach to solving problems and improving how work gets done.
- Employees must follow confidentiality and data security standards when handling sensitive customer data.
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