Iterable currently has five active job listings related to artificial intelligence. The majority of these roles, 80%, are focused on agents, with one role in data. The top hiring function is Engineering, with three positions located in the United States and three in Portugal. Iterable is frequently seeking candidates with experience in agent orchestration, RAG, and evals.
Currently tracking 4 active AI roles, up 10% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $134k–$319k (avg $211k).
Iterable currently has 5 active AI-related roles in our index. The most common open titles are: Senior IT Engineer (AI), Senior Machine Learning Engineer, Senior Machine Learning Engineer , Senior Manager, Engineering (Nova), Senior Product Manager, Data Products. Most positions are in Engineering and Product.
Iterable's active AI hiring is concentrated in: agents (60%), application (20%), data (20%). 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: Portugal (4 roles), United States (2 roles), United Kingdom (1 role).
In the past 30 days, Iterable has posted 4 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Senior Product Manager, Data Products Senior Product Manager for Iterable's data platform, focusing on the full data lifecycle (ingestion, storage, access) to power messaging and AI experiences. The role involves defining strategy and roadmap for scalable, reliable, and AI-ready data infrastructure, including governance, quality, and observability. | Data | 5 |
| Associate SEO & AEO Manager This role focuses on optimizing Iterable's visibility in both traditional search engines and emerging AI-driven discovery platforms (like ChatGPT, Gemini, Perplexity). The goal is to ensure Iterable's market position, product value, and authority are clearly understood by search engines, AI assistants, and buyers. The role involves technical SEO, Answer Engine Optimization (AEO), and Generative Engine Optimization (GEO), using AI tools to enhance SEO operations and build a continuous improvement system for visibility and business outcomes. | — |
| 5 |