13 set - Torino
Nebuly
Nebuly is a fast-growing, VC-backed startup building the data and intelligence infrastructure for enterprise AI agents.
Every enterprise function — sales, customer support, HR, finance — is deploying AI agents at scale. Every day, millions of conversations happen between employees and customers and these agents. Those conversations are the most valuable new data asset an enterprise produces — but they are unstructured, high-volume, and invisible without the right infrastructure.
Nebuly plugs into the conversations flowing between users and enterprise AI agents, builds structured knowledge graphs from them, and surfaces the patterns that help leaders make decisions on adoption, quality, and ROI.
Every new type of enterprise data has created a new category of software. CRM for customer interactions. Product analytics for user behavior. Nebuly is building that infrastructure layer for AI agent conversational data — a category that will touch every enterprise on the planet.
Our customers include Vodafone, CNH, Oura, and others.
Demand is accelerating fast — and we are building the team to match.
What you’ll doThe AI team sits at the core of Nebuly's product: every customer-facing insight — from taxonomy classification to failure detection to ROI estimation — is powered by the models and pipelines this team builds and operates. You'll work closely with the Full Stack and Product teams to ship AI-driven features that go straight into production for enterprise customers, and you'll be one of the people directly responsible for the accuracy, reliability, and scalability of Nebuly's core AI systems.
Responsibilities
- Design, train, and iterate on classification and taxonomy models (including multi-label classification and rule-based/LLM-based hybrids) that power Nebuly's core product
- Build and extend the ingestion and enrichment pipelines that process enterprise customer interaction data at scale, with attention to performance, cost, and reliability
- Work on our ROI prod
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