Radar sells location infrastructure — geofencing, maps, geocoding and routing — to app developers, running on AWS EKS, MongoDB Atlas, Kinesis and Spark with Rust, TypeScript and Kotlin. Its stack pairs OpenStreetMap and MapLibre while Google Maps and Mapbox are being replaced, pointing to an owned mapping layer. Engineering-heavy, senior-skewed hiring centers on multi-region deployment, a next-generation data platform and AI-enriched geocoding.
Radar is a New York-based, privately held location platform founded in 2016, with 51–200 employees. It offers products for fraud prevention and location verification, real-time tracking of pickups, deliveries and field operations, and location-triggered customer engagement. These sit on a core geofencing and maps platform covering geocoding, search and routing. Customers range from startups to large enterprises, integrating Radar through APIs and mobile SDKs. Hiring is concentrated in the United States.
Radar runs on AWS (EKS, Kinesis, Athena, CloudWatch), Kubernetes, Terraform, MongoDB Atlas and Redis, with Rust, TypeScript, Node.js, Python and Kotlin, plus Airflow, Spark, OpenStreetMap and MapLibre.
Data signals show Radar replacing Google Maps and Mapbox, while using OpenStreetMap and MapLibre to support its own maps, geocoding and routing platform.
Yes — engineering dominates Radar's US hiring, skewed toward senior and staff roles, though overall hiring velocity is decelerating. Smaller openings exist in product, sales and security.
Other companies in the same industry, closest in size
Radar'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.
