Attentive
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).
Enterprise · SMS marketing
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.
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.
| Title | Stage | AI score |
|---|---|---|
| Senior Implementation Consultant, UK This role is for a Senior Implementation Consultant focused on onboarding large Enterprise customers for Attentive's AI marketing platform, which includes SMS, Email, and other features. The role involves leading complex, multi-workstream implementations from contract close to launch, improving implementation processes, and acting as a technical advisor. It requires strong project management, experience with martech stacks, and collaboration with various internal teams and external customers. | — | 5 |