End-to-end event management platform for travel, itineraries and live updates
Blink builds a centralized platform for running events end to end, from attendee travel and itineraries to real-time updates. Its open roles are almost entirely senior engineering, spread across a remote footprint from Egypt and Argentina to Poland and Qatar. The stack pairs Ruby on Rails, React and GraphQL with multi-cloud infrastructure on AWS, GCP and Azure. LangChain and RAG in the mix, plus LLM integration projects, point to AI features entering the product.
Notable leadership hires: Tech Lead
Blink is a privately held company founded in 2020 and headquartered in Falls Church, VA, with 51–200 employees. It offers a single platform for planning and executing events, covering personalized travel arrangements, custom itineraries and live event communications. The company serves events ranging from small executive gatherings to large conferences and sporting events. Its focus areas include event management, promotional events and sports entertainment. Engineering talent is distributed across Europe, Latin America, the Middle East and North Africa.
Blink uses Ruby on Rails, React, GraphQL, Java and Python on AWS, GCP and Azure, with Docker, Kubernetes, Terraform and Jenkins for delivery, Prometheus and Grafana for monitoring, and LangChain for AI work.
Blink hires in Egypt, the United Kingdom, Argentina, Romania, Morocco, Jordan, Chile, Tunisia, Lebanon, Portugal, Poland, Qatar, Algeria and Saudi Arabia, mainly for senior engineering roles.
Blink is building CI/CD pipelines, defining containerized cloud architecture, scaling platform infrastructure, evolving a no-code architecture and integrating LLMs into product experiences.
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Blink'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.