Enterprise · SMS marketing
Currently tracking 13 active AI roles, down 25% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $170k–$360k (avg $251k).
Attentive currently has 10 active AI-related roles in our index. The most common open titles are: Senior Machine Learning Engineer (2), GTM Engineer, Lead Product Manager, Product Recommendations, Senior Product Manager, First-Party Data Platform, Senior Software Engineer, ML/AI Platform. Most positions are in Engineering and Product.
Attentive's active AI hiring is concentrated in: agents (40%), application (20%), serving infrastructure (20%). 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 (10 roles).
Job postings at Attentive most frequently reference: model serving, recommender systems, agent orchestration, inference infra, tool use.
In the past 30 days, Attentive has posted 1 new AI-related role. That is a -83% change versus the prior 30 days (6 → 1).
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.
| Title | Stage | AI score |
|---|---|---|
| Staff Engineer, ML/AI Platform Staff Software Engineer, ML/AI Platform at Attentive, focusing on building and scaling the AI/ML infrastructure for their AI product suite. The role involves architecting and developing foundational platform components for training, deploying, and serving models and agentic infrastructure, with a focus on velocity, performance, and reliability at scale. Key responsibilities include setting ML platform strategy, building low-latency ML serving layers, defining the agentic stack, and providing technical leadership. | ServeAgent | 8 |
| Senior Software Engineer, ML/AI Platform Senior Software Engineer to join the ML Platform team, responsible for building and operating the ML data, tooling, serving, and inference layers of the ML platform. This role will enable Attentive's ML practice to directly impact the AI product suite through tools to train, serve, and deploy ML models with higher velocity and performance, while maintaining reliability. | DataServe | 7 |
| Staff Software Engineer, Machine Learning Staff Software Engineer, Machine Learning at Attentive, an AI marketing platform focused on 1:1 personalization. The role involves building, scaling, and operating production-grade ML systems for real-time personalization, requiring strong experience in ML systems development, data analysis, and cross-functional project leadership within a fast-paced, late-stage startup environment. | Serve | 7 |
| Senior Machine Learning Engineer Senior Machine Learning Engineer role focused on building, scaling, and operating production ML systems for AI-powered personalization in a marketing platform. The role involves end-to-end ownership of ML projects, from data to deployment and monitoring, with a focus on real-time targeting and decisioning. | Ship | 7 |
| Senior Machine Learning Engineer Senior Machine Learning Engineer role focused on building, scaling, and operating production ML systems for AI-powered personalization in a marketing platform. The role involves end-to-end ownership of ML projects, from data to deployment and monitoring, with a focus on real-time targeting and decisioning. | Ship | 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 |