Attentive
Enterprise · SMS marketing
Enterprise · SMS marketing
Currently tracking 6 active AI roles, with 15 new openings in the last 4 weeks. Primary focus: Ship · Engineering. Salary range $170k–$380k (avg $260k).
Attentive currently has 11 active AI-related roles in our index. The most common open titles are: Senior Machine Learning Engineer (2), Applied Science / Data Science Leader, GTM Engineer, Lead Product Manager, Targeting, Senior Product Manager, First-Party Data Platform. Most positions are in Engineering and Product.
Attentive's active AI hiring is concentrated in: application (45%), agents (18%), serving infrastructure (18%). 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 (11 roles).
Job postings at Attentive most frequently mention: Personalization, Machine Learning, Production ML Systems, Model Serving, Distributed Systems.
In the past 30 days, Attentive has posted 3 new AI-related roles.
Attentive has 10 active AI-related job listings. The application stage accounts for 40% of these roles, with agents, serving infrastructure, and data each representing 20%. Engineering is the dominant function, with 8 roles, and all 10 roles are located in the United States. Frequent tech tags include recommender systems, model serving, and inference infrastructure, suggesting a focus on deploying and optimizing AI models. Over the last 30 days, Attentive has posted 3 new AI roles, a 200% increase compared to the prior 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 |
| Applied Science / Data Science Leader Leadership role overseeing an Applied Science / Data Science team focused on using data, experimentation, machine learning, and AI to shape product strategy and accelerate business growth. The role involves leading a team, defining the applied data science vision, developing analytical and ML solutions, and influencing company strategy. | Ship | 7 |
| 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 |