Iterable
Enterprise · Marketing automation
Currently tracking 3 active AI roles, down 54% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $134k–$319k (avg $211k).
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.
Iterable currently has 4 active AI-related roles in our index. The most common open titles are: Manager, Engineering (Nova), Senior IT Engineer (AI), 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 (75%), data (25%). 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 (4 roles), United Kingdom (1 role), Portugal (1 role).
Job postings at Iterable most frequently reference: agent orchestration, tool use, llm observability, guardrails, rag.
In the past 30 days, Iterable has posted 1 new AI-related role.
Enterprise · Marketing automation
| Title | Stage | AI score |
|---|---|---|
| Manager, Engineering (Nova) Engineering Manager to lead a team building agentic experiences and integrating AI-powered capabilities into a customer engagement platform. The role involves guiding frontend, backend, and applied engineers on conversational workflows, orchestration layers, and AI-enabled product surfaces, balancing people leadership with technical judgment to deliver high-quality features. | Agent | 7 |
| Senior Machine Learning Engineer (Nova) Senior Machine Learning Engineer to build core ML foundations for agentic experiences, focusing on applied ML in production, including retrieval systems, evaluation frameworks, and model integration layers. The role involves designing and implementing components for intelligent interactions, partnering with other engineering teams, and ensuring reliability, scalability, and repeatability of AI features. | AgentEval Gate | 7 |