Attentive is actively hiring for 20 AI-related roles. The majority of these positions, 45%, are focused on agents, with application roles making up another significant portion at 30%. Engineering is the primary function for these hires. Frequent technology tags include model serving, agent orchestration, and recommender systems. Over the last 30 days, Attentive posted 6 new AI roles, a 40% decrease compared to the previous 30-day period.
Enterprise · SMS marketing
Currently tracking 13 active AI roles, up 24% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $170k–$360k (avg $251k).
Attentive currently has 14 active AI-related roles in our index. The most common open titles are: Senior Machine Learning Engineer (2), AI Intern, Director of Engineering, Intelligent Messaging , Director, Messaging Operations, Engineering Manager, Shopper Management . Most positions are in Engineering and Product.
Attentive's active AI hiring is concentrated in: agents (57%), application (14%), serving infrastructure (14%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Attentive is hiring AI talent in: United States (14 roles).
Job postings at Attentive most frequently reference: agent orchestration, model serving, recommender systems, tool use, inference infra.
In the past 30 days, Attentive has posted 6 new AI-related roles. That is a +20% change versus the prior 30 days (5 → 6).
| Title | Stage | AI score |
|---|---|---|
| Director, Messaging Operations Director of Messaging Operations to lead the team and rebuild processes with AI, manage P&L, and deepen partnerships. The role involves embedding AI agents to improve messaging experiences and support geographic expansion. | Agent | 7 |
| Lead Product Manager, Product Recommendations Lead Product Manager for Product Recommendations at Attentive, an AI marketing platform focused on 1:1 personalization for e-commerce brands. This role will own the strategy, roadmap, and execution for product recommendations, including catalog data ingestion, algorithmic strategies, targeting, and customer-facing tools. The goal is to create bespoke shopping experiences by identifying shopper interest in products. | Agent | 7 |