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 |
|---|---|---|
| Commercial Solution Engineer Commercial Solution Engineer for Snowflake's AI Data Cloud, focusing on demonstrating and strategizing customer adoption of AI/ML features, Cortex AI, Snowflake Cortex Agents, and agentic AI workflows. The role involves presenting AI/ML vision, designing agentic workflows, and helping customers modernize to AI-first architectures leveraging vector search, RAG, and real-time inference. Requires familiarity with AI/ML concepts, LLMs, RAG, vector databases, and agentic patterns, with preferred experience in Python AI/ML libraries and building LLM applications or AI agents. | Agent | 5 |
| Administrative Assistant Administrative Assistant role at Snowflake, supporting Engineering Directors. Focuses on calendar management, coordinating engineering cadences, operationalizing efficiency, global collaboration, event ownership, financial stewardship, and strategic communication. Requires 4+ years of experience, strong English and German language skills, agility, problem-solving, precision, and communication. Experience with AI agents is a plus. |
| — |
| 0 |
| Software Engineer Intern - Berlin (2026) Snowflake is looking for interns to join their 'agentic enterprise' initiative. The role focuses on software engineering with a strong emphasis on AI as a collaborator and tool for problem-solving. The internship offers exposure to enterprise-grade software development, cloud infrastructure, and database technologies. | — | 0 |
| Senior Engineering Manager - Query Execution Platform Senior Engineering Manager to manage and grow the Snowflake query processing team in Berlin, Germany. The team is responsible for building new SQL features, customer-facing functionality, developing novel query optimization and query execution techniques for industry-leading performance, and building a database system that's highly parallel, efficient and fault-tolerant. The role involves leading engineers, career development, technical discussions, translating product requirements, and collaborating with other leaders. | — | 0 |