Orum builds an AI conversation platform for sales teams using Node.js, TypeScript, React, and a custom SIP softswitch (FreeSWITCH) to route and handle inbound/outbound calls at scale. The stack reveals a real-time, event-driven architecture—confirmed by active projects around SIP routing, audio stream processing, and high-volume workflow systems. Engineering is the hiring focus (5 roles, mostly senior/staff level), while the pain-point list shows they're scaling both the platform (real-time workflows, audio processing) and the team itself (doubling headcount, establishing hiring processes).
Orum is a conversational AI platform designed for sales teams to automate prospecting and call handling. The product sits between a sales rep's dialer and their CRM, using speech recognition and AI to route calls, capture information, and feed pipeline back into Salesforce, HubSpot, Outreach, or Salesloft. The engineering footprint is substantial—real-time call routing, audio processing, and workflow orchestration run on GCP infrastructure. The company operates at 51–200 employees, headquartered remotely in the US, with a sales-and-engineering-focused team structure.
Node.js, TypeScript, React, Ruby, PostgreSQL, GCP, FreeSWITCH, SIP, WebSocket. Also integrates Salesforce, HubSpot, Outreach, Salesloft, Apollo, and Google Workspace.
Real-time call routing with SIP softswitch, audio stream processing for speech recognition, scalable high-volume workflow systems, and foundational hiring/design infrastructure to support team growth.
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