20 hours ago
Remote, ColombiaSenior
Responsibilities
- Present Snowflake technology and vision to executives and technical contributors, with emphasis on enterprise AI innovation.
- Conduct hands-on demonstrations and value-based product-fit conversations throughout customer sales cycles.
- Support enterprise Proofs of Concept and help customers achieve data, Analytics, AI, and business outcomes.
- Partner with sales teams and channel partners to strategize and navigate complex sales cycles.
- Maintain knowledge of Analytics, Generative AI, LLMs, and competitive technologies.
- Collaborate with Product and Engineering teams to communicate customer data platform and activation requirements.
Requirements
- Proven success positioning data solutions to enable rapid 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, including the ability to translate complex data concepts into business value.
- Broad experience with large-scale database and data warehouse technologies, ETL, and modern AI/ML frameworks.
- Hands-on expertise with SQL and SQL analytics.
- Python or R experience for data science is a plus.
- Ability to connect customer business problems to Snowflake’s Analytics, AI, and Data Cloud solutions.
- University degree in Computer Science, Engineering, Mathematics, or equivalent experience.
Tech Stack
Categories
Solutions Engineering
About Snowflake
Snowflake builds a cloud-native data platform used by enterprises to store, integrate, share, and analyze data across AWS, Azure, and Google Cloud. Its core products span data warehousing, data lakes, data engineering, and governed data sharing, sold via consumption-based subscriptions. Founded in 2012 and publicly traded on the NYSE (SNOW) following a 2020 IPO, Snowflake supports analytics and data application workloads across industries.