Spokeo Tech Stack

People search engine with 12B records serving identity verification and fraud prevention

Technology, Information and Internet Pasadena, California 51–200 employees Privately Held

Spokeo operates a consumer and B2B people-search platform built on a large-scale data infrastructure (Databricks, PySpark, Spark, Hadoop, Kafka, Airflow). The tech stack and active projects reveal a shift toward AI-driven features—they're adopting RAG and building agentic AI systems while simultaneously tackling entity resolution and fraud detection. Hiring is accelerating across data and engineering, with a meaningful seniority mix (principal and manager roles), indicating investment in AI automation and data-quality infrastructure rather than simple scaling.

Tech Stack 40 technologies

Core StackDatabricks Google Analytics Tableau PySpark Python TensorFlow AWS Apache Spark Hadoop Kafka Apache Airflow Ruby on Rails Node.js React JavaScript Elasticsearch MySQL Google Search Console Jupyter Ahrefs SEMrush Screaming Frog PageSpeed Insights Lighthouse Azure MapReduce Hive NoSQL RSpec AWS EMR+10 more

AdoptingRAG

What Spokeo Is Building

◆Challenges

Entity resolution challenges
Reducing operational costs and losses
Improving authorization rates
Enhancing fraud detection
Low organic traffic
Streamlining operations workflows
Optimizing ai performance
Ensuring ai scalability
Complex technical evaluations
Integrating new data vendors

▲Active Projects

State-of-the-art analytics platform
Batch append product offering
Entity resolution improvements
Post-launch analysis of new payment features
Fraud trend analysis and mitigation strategies
Payment optimization and revenue protection
Seo dashboards
Ai-driven automation tools
Retrieval-augmented generation systems
Agentic ai systems

Hiring Activity

Accelerating10 roles · 5 in 30d

Department

Data

Engineering

Ops

Product

Sales

Seniority

Mid

Senior

Manager

Principal

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About Spokeo

Spokeo is a people search engine serving over 18 million monthly visitors across consumer and B2B use cases. The company maintains 12 billion records and over 250 million unique profiles, used for identity verification, fraud prevention, investigative research, and locating people and assets. Founded in 2006 and operating as a remote-first organization of nearly 200 employees, Spokeo processes identity and financial transactions at scale, with ongoing work on payment optimization, fraud mitigation, and compliance. Current projects center on analytics infrastructure, batch-append offerings, and AI-driven automation—areas where their data-heavy hiring and technical depth compound.

HeadquartersPasadena, California

Company Size51–200 employees

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Spokeo use?

Spokeo uses Databricks, Apache Spark (PySpark, Spark, Hadoop), Kafka, and Airflow for data processing; Ruby on Rails and Node.js for backend services; React and JavaScript for frontend; Elasticsearch and MySQL for storage; and TensorFlow for ML. Google Analytics and Tableau support analytics workflows.

Is Spokeo hiring engineers?

Yes. Spokeo has 5 active engineering roles across data, product, and ops, with principal, senior, and mid-level positions open. Hiring velocity is accelerating, concentrated in the United States.

What is Spokeo working on?

Active projects include state-of-the-art analytics platforms, entity resolution improvements, batch append product offerings, fraud detection and mitigation, payment optimization, AI-driven automation, retrieval-augmented generation systems, and agentic AI systems.

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How this profile is built

Spokeo'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.