OXIO runs a cloud-native mobile network platform that lets brands and enterprises launch their own wireless service, built on Go, Java and Kotlin with gRPC and Protocol Buffers across AWS, GCP and Azure. Telecom-grade tooling (3GPP, VoLTE, Wireshark, tcpdump) sits alongside a Spark, Airflow, dbt, Databricks and Snowflake data stack. Job posts point to a legacy data architecture migration and real-time core network monitoring as active pressures.
OXIO, founded in 2018 and headquartered in New York, offers a telecom-as-a-service platform for brands and enterprises. Its fully cloud-based product combines wireless infrastructure from multiple carriers, so customers can run a custom, asset-light mobile network and gain access to the connectivity data it generates. Focus areas include MVNO services, IoT connectivity, mobile data and business intelligence. The privately held company has 51–200 employees, with offices in Mexico City and Montreal and hiring across the United States, Canada and Mexico.
OXIO uses Go, Java, Kotlin, C++ and Node.js on AWS, GCP and Azure, with gRPC, GraphQL, PostgreSQL and DynamoDB. Its data stack includes Spark, Airflow, dbt, Databricks and Snowflake, and it runs on Kubernetes and Terraform.
Yes. Engineering is OXIO's largest hiring area, and recruiting is accelerating. Open roles skew senior and staff-level, with smaller openings in data, product, sales, support and telecom across the US, Canada and Mexico.
OXIO is building its brandVNO platform, a customer 360 platform and real-time data services. It is also migrating to a north star data architecture and expanding its SDK, eSIM activation and enterprise and IoT connectivity offerings.
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OXIO'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.
