Роль четко определена с ясным акцентом на ИИ и аналитику, но отсутствие информации о зарплате затрудняет полную оценку привлекательности.
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Нет информации о зарплатеСильная компанияЧеткие обязанностиТрендовый домен
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Текст:
Hirify AI/Оригинал
TL;DR
Solution Engineer (AI): Helping enterprise customers adopt Snowflake for Analytics, AI, and machine learning by presenting the platform, running value-based demonstrations, and supporting complex Proofs of Concept with an accent on data modernization and executive-to-technical communication. Focus on connecting business problems to data solutions, demonstrating enterprise AI use cases, and navigating complex sales cycles with sales, channel, Product, and Engineering teams.
Location: Remote in Colombia
Employment type: Full time
Company
Snowflake provides a cloud data platform designed to support enterprise Analytics, AI, machine learning, and data activation.
What you will do
Present Snowflake technology and vision to executive and technical audiences, focusing on enterprise AI innovation.
Work with prospects throughout sales cycles through value-based demonstrations, product-fit discussions, and business-outcome alignment.
Support enterprise Proofs of Concept and help customers modernize their data stacks.
Collaborate with sales teams and channel partners to develop winning strategies for complex opportunities.
Track developments in Analytics, Generative AI, LLMs, and competing technologies.
Share customer data platform and activation requirements with Product and Engineering.
Requirements
Proven success positioning data solutions for Analytics and AI adoption.
Experience with one or more of Databricks, Microsoft Fabric, Cloudera, BigQuery, Spark, Trino, Cassandra, or Hive.
Strong presentation skills for both technical and executive audiences.
Experience with large-scale database and data warehouse technologies, ETL, and modern AI/ML frameworks.
Hands-on expertise with SQL and SQL analytics.
University degree in Computer Science, Engineering, Mathematics, or equivalent experience.
Nice to have
Python or R experience for data science.
Culture & Benefits
AI-native, experimental approach to solving problems and improving how work gets done.
Fast-paced environment focused on challenging conventional thinking and accelerating innovation.
Cross-functional collaboration with sales, channel partners, Product, and Engineering.
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