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Attentive Tech Stack

SMS and email marketing platform with real-time ML personalization

Advertising Services New York 1,001–5,000 employees Privately Held

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.

Tech Stack 48 technologies

What Attentive Is Building

Challenges

  • Pricing negotiations
  • Increasing sales pipeline
  • Expansion and retention opportunities
  • Streamlining data integration
  • Modernizing streaming architecture
  • Strengthening margin and compliance
  • Customer churn risk
  • Scaling customer success operations
  • Customer observability
  • Improving reporting automation

Active Projects

  • Real-time personalization ml systems
  • Customer onboarding flows
  • Self-serve tools for event observability
  • Product affinity targeting strategies
  • Ui/ux features for recommendation configuration
  • Attentive advantage service delivery
  • Compute and networking platform development
  • Enhanced attentive tag evolution
  • Alerting and observability strategy
  • Reimagined ui experience

Hiring Activity

Accelerating120 roles · 60 in 30d

Department

Engineering
41
Sales
21
Product
15
Support
12
Finance
6
Marketing
6
Ops
4
Data
3

Seniority

Senior
50
Mid
22
Manager
16
Director
9
Staff
6
Junior
5
Lead
5
Principal
4

Notable leadership hires: Chief of Staff, Strategic Account Director

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About Attentive

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.

HeadquartersNew York
Company Size1,001–5,000 employees
Hiring MarketsUnited States, United Kingdom, Australia

Frequently Asked Questions

What tech stack does Attentive use?

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).

What is Attentive working on?

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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