Viator operates a large-scale travel marketplace with a polyglot backend (Java, C#, Scala, Python) spanning AWS, Azure, and GCP. The technical roadmap reveals a data and AI-first shift: active projects span RAG systems, generative AI pipelines for product content, and customer segmentation modeling, while pain points around petabyte-scale data, API performance, and automation of data science workflows signal infrastructure constraints. Engineering-heavy hiring (27 of 54 open roles) is concentrated at senior and director levels, suggesting a push to scale internal data capabilities rather than expand the platform's user-facing surface.
Viator is a public travel marketplace headquartered in Massachusetts that enables customers to discover and book from a catalog of 300,000+ travel experiences—ranging from standard guided tours to niche adventure products. The company sells to leisure travelers and operates a supplier-side network to source inventory. With 501–1,000 employees, Viator is scaling data infrastructure (14 open data roles) and embedding AI across product workflows, while simultaneously addressing operational challenges around supplier reactivation, distribution expansion, and journey-level user experience fragmentation.
Viator's core backend uses Java, C#, Scala, and Python, served via Kubernetes on AWS, Azure, and GCP. Frontend spans React (web) and Kotlin/Jetpack Compose (Android), with iOS using Swift and SwiftUI. Data layer includes SQL, NoSQL, and GraphQL APIs.
Current projects center on generative AI (RAG systems, content generation pipelines, prompt tuning) and data infrastructure (customer segmentation, data science automation, API roadmaps). Also active: advanced application security and next-generation data science tooling adoption.
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