Iterable currently has five active job listings related to artificial intelligence. The majority of these roles, 60%, are focused on agents. The company is primarily hiring for Engineering positions, with four out of the five roles in this function. Hiring is concentrated in the United States, with four positions located there. Technical areas of focus include agent orchestration and model serving.
Currently tracking 3 active AI roles, down 60% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $134k–$319k (avg $211k).
Iterable currently has 3 active AI-related roles in our index. The most common open titles are: Manager, Engineering (Nova), Senior Machine Learning Engineer (Nova), Senior Product Manager, User Data Platform. Most positions are in Engineering and Product.
Iterable's active AI hiring is concentrated in: agents (67%), data (33%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Iterable is hiring AI talent in: United States (3 roles).
Job postings at Iterable most frequently reference: agent orchestration, llm observability, guardrails, rag, vector db.
In the past 30 days, Iterable has posted 0 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Senior Machine Learning Engineer (Platform) Senior Machine Learning Engineer (Platform) at Iterable, focusing on designing, evolving, and maintaining the core ML infrastructure and pipelines that power AI-powered features for enterprise customers. The role involves building and operating ML services, ensuring robust observability and experimentation frameworks, and partnering with Data Science teams to remove infrastructure bottlenecks. | ServeData | 7 |