Risk intelligence, threat monitoring and emergency communication platform
AlertMedia sells a risk intelligence and incident response platform built on Python/Django, Elixir, React/Next.js and Node.js across AWS and Azure, with LangChain and AutoGen in the stack pointing to AI-driven threat triage. Hiring is accelerating, and finance roles weigh nearly as heavily as engineering, with revenue accounting, SSP methodology and close-process work signaling back-office maturation alongside product growth.
AlertMedia, founded in 2013 and headquartered in Austin, Texas, provides software that helps organizations monitor threats, assess their impact and coordinate response to incidents affecting people and operations. Its core buyers are security, safety and business continuity teams, served through capabilities like emergency mass communication, local threat monitoring and lone worker monitoring. The privately held company employs 201–500 people and hires across the United States, Mexico, Ireland and Canada. Go-to-market runs on Salesforce, Outreach, Gong and ZoomInfo, with Gainsight supporting customer success and NetSuite handling finance.
AlertMedia uses Python, Django, Elixir, React, Next.js and Node.js on AWS and Azure, with PostgreSQL, Redis, Docker, Kubernetes and Jenkins, plus AI tooling like LangChain and AutoGen.
Yes, hiring is accelerating across engineering, finance, product, security and support, mostly at senior level, in the United States, Mexico, Ireland and Canada.
Current work includes incident response product features, a risk intelligence roadmap, recurring intelligence alerts, system integration and data reliability, and revenue close process improvements.
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AlertMedia'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.