People search and public-records data platform for consumers and businesses
Spokeo runs a people-search and identity data business on a big-data stack — Spark, Hadoop, Hive, Kafka, Airflow, Databricks and AWS EMR — fronted by Ruby on Rails, React and Elasticsearch. A heavy SEO toolset (Ahrefs, SEMrush, Screaming Frog, Search Console) points to organic-search-driven consumer acquisition. Current senior-weighted hiring in sales and data centers on payments fraud, authorization rates and shortening enterprise sales cycles.
Spokeo is a Pasadena, California-based people intelligence company that aggregates public records into searchable profiles. It serves consumers looking up or reconnecting with people, and businesses using the data for customer research, information verification and fraud prevention. The company is privately held, has 51–200 employees, and operates as a remote-first team. Its consumer side runs on a subscription model, while an enterprise offering targets B2B identity and verification use cases. Go-to-market tooling includes Salesforce, HubSpot and Outreach.
Spokeo uses Ruby on Rails, React, Node.js, Elasticsearch, MySQL and DynamoDB, with a data layer of Apache Spark, Hadoop, Hive, Kafka, Airflow, Databricks and AWS EMR, plus Python and TensorFlow.
Yes, hiring is accelerating, focused on sales, data and product roles in the United States, mostly at senior level, with emphasis on fraud analytics and enterprise sales.
Spokeo is headquartered in Pasadena, California, operates as a remote-first team, and has 51–200 employees.
Other companies in the same industry, closest in size
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.