Global work marketplace connecting businesses with independent talent and AI capabilities
Upwork operates a two-sided marketplace for contingent work, spanning 10,000+ skills across development, design, support, and operations. The tech stack reveals a hybrid architecture: legacy enterprise systems (Sitecore, Oracle, .NET/ASP.NET, SQL Server) paired with modern data tooling (Planful, Airtable, Monday.com) and emerging AI—they're now adopting REST APIs and Agentforce while grappling with Kubernetes optimization and technical debt. The hiring acceleration (70 roles in 30 days) is heavily weighted toward engineering (35) and data (26), suggesting a push toward platform reliability and AI-driven matching.
Notable leadership hires: Market Lead, Research Director, Director of Engineering
Upwork is a public marketplace that matches businesses—from one-person startups to Fortune 100 enterprises—with independent professionals globally. The platform spans 25+ hiring countries and hosts a community of independent contractors across website and app development, creative and design, customer support, finance, accounting, consulting, and operations. Operationally, Upwork serves a 501–1,000 person team from San Francisco; they are actively scaling engineering and data capabilities while addressing system reliability and technical debt challenges.
Core stack includes .NET, C#, ASP.NET, SQL Server, Oracle, and Azure for backend; Drupal, Sitecore, and Adobe Experience Manager for content; Git, Jira, and Composer for engineering workflows; and Planful, Airtable, and Monday.com for operations. They are adopting REST APIs and Agentforce.
Yes. Upwork has 35 active engineering roles across the organization, with 56 mid-level, 39 senior, and 35 junior openings in total. Hiring spans 25 countries including the US, Canada, UK, India, Philippines, and others.
Active projects include AI model training (fictional character TTS recording, Q&A generation, LLM evaluation), computer vision (crop classification from satellite imagery), pricing elasticity analysis, and cohort rollouts. They are also addressing system reliability, technical debt reduction, and Kubernetes infrastructure optimization.
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