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 |
|---|---|---|
| Senior Technical Support Engineer, Observe by Snowflake This role is for a Senior Technical Support Engineer focused on an AI-powered observability platform. The engineer will provide expert-level technical support, troubleshoot complex issues, partner with engineering on performance, help design and build AI skills to enhance support productivity, manage escalations, create documentation, and mentor junior engineers. The role requires strong technical expertise in SaaS, DevOps, observability, scripting, cloud platforms, and Kubernetes, along with excellent problem-solving and communication skills. | Ship | 5 |
| Senior Solution Engineer Snowflake is seeking Senior Solution Engineers to join their field teams. The role involves providing technical expertise to customers, understanding their business problems, and demonstrating how Snowflake's data platform can solve them. This includes building demos, executing proof-of-concepts, and offering consultative assistance on architecture and implementation. The role requires strong customer-facing and technical skills, with a deep understanding of the complete data stack and workflow. While not directly building AI models, the role is adjacent to AI, focusing on enabling customers to utilize AI and data platform capabilities. |
| — |
| 5 |
| Senior Solution Engineer, Enterprise Acquisition - Sydney Senior Solution Engineer role at Snowflake, focused on understanding customer needs, strategizing sales cycles, providing demonstrations, supporting Proof of Concepts, and closing business. The role requires a deep understanding of Snowflake technology and its positioning against competitors, with collaboration across Product, Engineering, and Marketing. Requires extensive experience in large-scale database, data warehousing, ETL, analytics, and cloud technologies, with hands-on SQL, SQL analytics, and Python expertise. | — | 5 |