Iterable
Enterprise · Marketing automation
Enterprise · Marketing automation
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 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.
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 Machine Learning Engineer Senior Machine Learning Engineer to design and build end-to-end ML systems for a customer engagement platform, focusing on personalization, recommendation engines, and campaign optimization. The role involves full model lifecycle ownership, from research to production deployment, and scaling data pipelines and serving architectures. | ShipAgent | 7 |
| Senior Machine Learning Engineer 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, working with cross-functional teams, and ensuring reliability, scalability, and repeatability of AI features. | AgentEval Gate |
| 7 |
| 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 |
| Software Engineer (Developer Platform) Software Engineer II on the Developer Platform Team, responsible for building and enhancing internal systems to improve developer velocity, reliability, and reduce operational friction. This role focuses on shared engineering foundations, CI/CD, build systems, and tooling, with an emphasis on applying AI-assisted engineering practices. | — | 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 |
| Senior IT Engineer (AI) This role focuses on building integrations between AI platforms and business systems, operationalizing AI tools, managing cloud resources for AI environments, and partnering with security for AI-assisted development. It involves both building and operating AI integrations. | Agent | 5 |
| Senior Software Engineer (Dev Platform) Senior Software Engineer on the Developer Platform Team responsible for improving the platform foundations that Iterable engineers rely on to build, test, deploy, and operate services safely at scale. The role involves improving the developer workflow end-to-end, from Scala, Bazel, and CI systems, through deployment workflows and self-service platforms, down to the Kubernetes and cloud infrastructure. The engineer will also apply AI tools to accelerate platform engineering. | — | 0 |
| Data Engineer II Data Engineer II role focused on building and operating data pipelines and platform capabilities for a customer engagement platform. The role involves data ingestion, activation, analytics, and ML data workflows, with a focus on reliability, quality, and observability. Requires experience with Python, SQL, and data tooling like Snowflake, with bonus points for Spark, feature stores, and ML platform data workflows. | — | 0 |