RoboMQ builds Hire2Retire, an identity governance platform that automates employee onboarding, role changes, and offboarding across Active Directory, Entra ID, Okta, and Google Workspace. The hiring velocity is accelerating with 7 engineering roles open alongside infrastructure work (Kubernetes, multi-node clusters, CI/CD test automation) — indicating a push to scale cloud infrastructure while the pain-point stack (manual identity lifecycle, cloud security compliance, infrastructure automation) reveals internal operational friction that mirrors their product's core value.
Notable leadership hires: Quality Assurance Lead
RoboMQ is a Vienna, Virginia-based identity and access management platform founded in 2012. Hire2Retire addresses the employee lifecycle management problem: automating identity provisioning, access assignment, and termination workflows that would otherwise require manual sysadmin work. The platform integrates with major HR systems and directory services (Active Directory, Azure AD, Google Workspace, Okta), translating HR changes into automated access control and resource assignments. Customers are mid-market enterprises managing compliance risk and operational overhead around employee onboarding and offboarding. The company is 51–200 employees, privately held, and currently hiring in the United States and India.
Hire2Retire is an identity governance product that automates employee lifecycle management — new hire provisioning, role changes, terminations, and leave — across HR systems, Active Directory, Entra ID, Okta, and Google Workspace, eliminating manual identity administration work.
RoboMQ is headquartered in Vienna, Virginia and operates as a privately held company founded in 2012 with 51–200 employees.
RoboMQ'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.