AI-driven SMS, email and push marketing platform for consumer brands
Attentive runs a messaging and personalization platform for brands across SMS, email, RCS and push. Its stack pairs a Java/Spring Boot and Kinesis/DynamoDB event backbone with TensorFlow, PyTorch and XGBoost on Spark, pointing to production ML over high-volume user data. Engineering leads the hiring mix, focused on real-time personalization and profile ingestion, while support work centers on scaling service without adding headcount.
Notable leadership hires: Sales Director
Attentive is a privately held marketing technology company headquartered in New York with 1,001–5,000 employees. It offers brands a platform that unifies customer profiles and uses real-time data and agentic AI to send personalized messages over SMS, email, RCS and push. Its focus areas include marketing automation, growth marketing and retention marketing. The company is hiring in the United States, the United Kingdom and Australia across engineering, sales, support, data and legal.
Attentive uses Java, Spring Boot, Python, Kubernetes on AWS EKS, Kinesis, DynamoDB, PostgreSQL, PlanetScale, Redis, Airflow and Spark, plus TensorFlow, PyTorch and XGBoost for ML, and React, TypeScript and GraphQL on the frontend.
Job posts point to a user profile ingestion and serving platform, real-time personalization and targeting systems, backend services for onsite growth products, self-serve event observability tools and a premium support offering.
Attentive is hiring in the United States, the United Kingdom and Australia. Engineering leads the mix, followed by sales and support, with a Sales Director among the open leadership roles.
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Attentive's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.