Shelf

Shelf builds a next-generation knowledge and governance platform designed to turn scattered enterprise documents and files into structured, contextualized information. Its platform models a company's policies, workflows, and operational logic into an AI Data Model, helping people find answers faster while allowing AI agents to reason and act with precision. The company serves enterprise customers and business teams across various industries that need to manage, govern, and scale their internal knowledge for both human use and AI applications.

The platform addresses underlying data constraints by enriching enterprise knowledge with metadata, relationships, quality controls, and governance. Shelf's architecture helps organizations overcome poor data quality, unclear structure, and missing context that traditionally cause AI agents to break when hitting real business complexity. By providing a reliable single source of truth, the platform supports customer service knowledge management, AI data layers, and automated workflows at scale.

The company is building small, focused teams across multiple locations, with open roles spanning New York City and Warsaw. The open positions include technical and operational functions such as engineering, product, sales, and architecture, featuring roles like AI Solutions Architect, VP of Operations, Backend Engineer in Python, Full Stack Product Engineer, Frontend React Engineer, and Enterprise Account Executive. The engineering teams operate out of the office in Warsaw, focusing on AI-native product development and system ownership.

Shelf works with enterprise clients and maintains partnerships with major technology platforms. The organization emphasizes ownership, technical judgment, and hands-on execution for its team members as it scales its operating system for an automated future.