SMS and email marketing platform with real-time ML personalization
Attentive operates a multi-channel marketing platform (SMS, email, push) anchored by machine-learning personalization. The stack reveals a data-forward engineering org: TensorFlow, PyTorch, XGBoost, Apache Spark, and dbt sit alongside cloud infrastructure (AWS, GCP, Azure, Kubernetes), indicating heavy investment in model training and real-time feature pipelines. Active projects around ML-driven personalization, streaming architecture modernization, and self-serve observability tooling show Attentive is scaling from template-driven campaigns toward predictive, event-driven customer engagement.
Notable leadership hires: Chief of Staff, Strategic Account Director
Attentive builds a SaaS marketing platform that unifies SMS, email, and push messaging for ecommerce and retail brands. The platform centers on personalization via machine learning—using customer behavior signals to trigger and customize messaging at scale. The company operates across the United States, United Kingdom, and Australia, with an engineering-heavy org structure (41 engineers) balanced by sales (21), product (15), and support (12). Current priorities include modernizing streaming infrastructure, expanding customer success capacity, and reducing churn through better retention workflows.
ML frameworks (TensorFlow, PyTorch, XGBoost), data processing (Apache Spark, pandas, SQL, dbt), cloud platforms (AWS, GCP, Azure), container orchestration (Kubernetes, Docker, Istio), and business tools (Salesforce, Looker, Tableau, NetSuite).
Real-time ML personalization, streaming architecture modernization, self-serve event observability tools, product affinity targeting, recommendation UI configuration, and enhanced alerting and reporting automation.
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