Snowflake
Data AI · Cloud data warehouse
- HQ
- Bozeman, US
- Founded
- 2012
- Size
- 7,000+
- Funding
- Public (SNOW)
- Website
- snowflake.com
- Blog
- snowflake.com
Products
Data AI · Cloud data warehouse
Currently tracking 55 active AI roles, up 75% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $156k–$380k (avg $250k).
| Title | Stage | AI score |
|---|---|---|
| Account Executive, Latin America Account Executive for Snowflake's Enterprise sales team, focusing on net new business and customer acquisition in Latin America. The role involves prospecting, developing, and closing business, acting as a trusted advisor to clients, and achieving sales quotas. Requires experience selling technical solutions into the enterprise market, with a focus on Data Warehousing, Business Intelligence, Data Science, and/or AI/ML. | — | 5 |
| Solutions Consultant Solutions Consultant role focused on deploying Snowflake's cloud products and services, assisting customers with modernization projects, and migrating them to Snowpark/Snowflake. The role involves acting as a customer expert, providing requirements for internal tooling, and guiding customers on data engineering pipelines. Experience in AI/ML, data warehousing, and cloud projects is beneficial, as is the ability to architect Spark and Scala environments and develop best practices for distributed computing and machine learning frameworks. | — |
| 5 |
| Solutions Engineer Solutions Engineer role focused on understanding customer needs, demonstrating Snowflake's AI data platform capabilities, and supporting sales cycles to drive customer adoption and growth. The role requires a blend of business and technical acumen, with a focus on presenting value and translating complex problems into Snowflake use cases. | — | 5 |
| Senior Partner Solution Engineer This role is for a Senior Partner Solutions Engineer at Snowflake, focusing on enabling Systems Integrator (SI) partners to leverage Snowflake's platform for AI and data solutions. The role involves technical strategy, architectural expertise, developing joint solutions, and supporting partners in customer engagements. While AI is mentioned as a key area for partners, the core responsibilities of the Solutions Engineer are centered around platform enablement, data pipelines, and integration, rather than direct AI/ML model development or deployment. | — | 0 |