Snowflake has 80 active AI-related job listings, with a significant focus on roles within the agents stage, comprising 64% of their openings. The majority of these positions are in Engineering. The company is actively hiring in the United States and Poland. Frequent technology tags include agent_orchestration, llm_observability, and model_serving, suggesting a concentration on developing and deploying AI agents. Over the last 30 days, Snowflake has posted 28 new AI roles, representing a 28% decrease compared to the previous 30-day period.
Data AI · Cloud data warehouse
Currently tracking 57 active AI roles, down 25% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $156k–$380k (avg $250k).
Snowflake currently has 82 active AI-related roles in our index. The most common open titles are: Senior Technical Support Engineer, Observe by Snowflake (3), Senior Data Scientist (2), Senior Security Architect, Applied Field Engineering (AFE) (2), Engineering Manager - SnowConvert AI , AI Engineer - Cortex Code Quality. Most positions are in Engineering and Product.
Snowflake's active AI hiring is concentrated in: agents (61%), application (22%), serving infrastructure (7%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Snowflake is hiring AI talent in: United States (70 roles), Poland (6 roles), Switzerland (2 roles), United Kingdom (1 role).
Job postings at Snowflake most frequently reference: agent orchestration, llm observability, model serving, rag, evals.
In the past 30 days, Snowflake has posted 22 new AI-related roles. That is a -21% change versus the prior 30 days (28 → 22).
| Title | Stage | AI score |
|---|---|---|
| Account Executive, Latin America Account Executive for Snowflake's enterprise sales team, focusing on the Latin America region. The role involves prospecting, developing, and closing new business for Snowflake's AI-powered solutions, acting as a trusted advisor to clients and achieving sales quotas. Requires experience selling technical solutions, particularly in Data Warehousing, BI, Data Science, or AI/ML, and managing complex sales processes. | — | 5 |