Ubeya builds a workforce management platform targeting operators who juggle hourly workers and agency staff across logistics, events, and hospitality. The stack is data-heavy (Python, SQL, Apache Airflow, Dagster, GCP, AWS, Snowflake, BigQuery) and spans real-time mobile communication (React, Node.js, Kubernetes), signaling a platform designed for rapid scheduling updates and labor analytics at scale. Current hiring priorities—product, data, and support roles—suggest focus on platform expansion and customer retention, while active work on AI-based recruitment tools and account expansion indicates a push toward vendor consolidation in the staffing workflow.
Ubeya powers workforce management for mid-market operators managing hourly and temporary labor. The platform consolidates scheduling, time-and-attendance tracking, vendor management, payroll, and real-time communication into a single interface—replacing fragmented spreadsheets, SMS chains, and paper timesheets. Founded in 2017 and based in Tel Aviv, the company operates across hospitality, events, logistics, and catering verticals. Current development priorities include core platform enhancements, native mobile apps, integrations, and AI-driven recruitment tooling, alongside a parallel push to drive account expansion and customer success.
Ubeya's stack spans Python, SQL, Apache Airflow, Dagster, GCP, AWS, Azure, Snowflake, BigQuery, Redshift, Node.js, React, Kubernetes, and Amplitude for analytics and real-time mobile communication.
Current projects include native apps, platform core, integrations, AI-based recruitment tools, account expansion initiatives, and executive business reviews—focused on scaling the platform and embedding it deeper into customer workflows.
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