Currently tracking 57 active AI roles, down 43% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $156k–$380k (avg $250k).
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.
Snowflake currently has 73 active AI-related roles in our index. The most common open titles are: Senior Technical Support Engineer, Observe by Snowflake (3), Applied AI Engineer (2), Senior Data Scientist (2), Senior Security Architect, Applied Field Engineering (AFE) (2), Engineering Manager - SnowConvert AI . Most positions are in Engineering and Product.
Snowflake's active AI hiring is concentrated in: agents (60%), application (23%), serving infrastructure (8%). 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 (61 roles), Poland (7 roles), Switzerland (2 roles), Australia (2 roles).
Job postings at Snowflake most frequently reference: agent orchestration, llm observability, model serving, rag, evals.
In the past 30 days, Snowflake has posted 13 new AI-related roles. That is a -70% change versus the prior 30 days (43 → 13).
| Title | Stage | AI score |
|---|---|---|
| Partner Development Manager - Data Cloud Products, Korea This role is for a Partner Development Manager focused on Snowflake's Data Cloud Products in Korea. The primary responsibility is to drive the growth of strategic data, application, and ISV partners, shaping the future of Snowflake in the region. The role involves developing Go-to-Market (GTM) plans, building executive relationships, driving joint pipeline and revenue growth through co-selling and co-marketing, and acting as a liaison between sales and technical teams. While the company emphasizes AI and the role requires a strong grasp of AI and data partnerships, the core function is partner development and GTM strategy, not direct AI/ML model development or deployment. | — | 5 |