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Relativity Jobs Information

What is it like to work at Relativity?

Relativity is a technology company that values innovation, collaboration, and customer-centricity, fostering a dynamic and fast-paced work environment.

The company's team structure is designed to encourage cross-functional collaboration, with a flat organizational hierarchy and a focus on empowering employees to take ownership of their projects. Relativity's mission is to revolutionize the way people work with data, and its products are used by various industries, including law, finance, and government.

Working at Relativity may appeal to candidates who are passionate about technology, data analysis, and problem-solving, as the company offers opportunities to work on cutting-edge projects, develop new skills, and contribute to the growth of a rapidly expanding organization.

What makes Relativity an attractive place to work?

Relativity is a leading provider of cloud-based data platforms for the legal and compliance industries, known for its innovative approach to data management and e-discovery solutions. The company's workplace culture values collaboration, innovation, and employee growth, with opportunities for professionals to work on cutting-edge projects and develop their skills in a dynamic and supportive environment. Joining Relativity can offer individuals a chance to contribute to the company's mission of making data more accessible and usable, while also advancing their careers in a rapidly evolving industry.

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Director, Product Management - Data Intelligence Foundation (Chicago)

Relativity

Chicago, IL • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Remote/Hybrid

Job Overview

Relativity is a leading legal data intelligence company building AI technology that helps organizations organize data, discover the truth, and act on it with confidence. Over two decades, the company has built the most trusted platform in legal data, earning deep relationships with the world's leading law firms, corporations, and government agencies, and managing petabytes of the most sensitive data in existence. That foundation is now being turned into something larger: The AI platform for legal data intelligence. The Relativity Intelligence Model is the architecture for that transformation. At its base is the Foundational Layer (Relativity's shared data platform serving all AI applications). Five primitives give AI agents the structure, meaning, and retrieval capability they need to reason over legal data at scale: Files, Ontology, Data Capabilities, Knowledge/Metadata, and Query Plane. Relativity's Data Intelligence Foundation engineering org is building this layer. The product leadership that shapes it, drives adoption across Relativity's product teams, and builds the PM discipline to own it long-term. That's this role. The Director of Product Management, Data Intelligence Foundation is one of the highest-leverage product roles at Relativity. The Foundational Layer is what makes every Relativity aiR application smarter, every agent more reliable, and every Relativity product team faster. Getting it right matters enormously.

Job Description and RequirementsWhat you’ll ownThe full PM layer across multiple engineering orgs

  • Files / Natives: The storage primitive for legal documents, images, and native files. You define the substrate that makes immutable legal data consistently accessible across every product, partner integration, and AI workflow, with the SLAs, access contracts, and API surface that teams can build on with confidence. The underlying data primitives are the foundation; the degree to which the retrieval layer (Query Plane) matches this structure determines how easily the organization can navigate between slow data and fast data use cases.

  • Ontology / Relationship: The semantic layer of the Relativity Intelligence Model. Ontology encodes meaning: what kinds of things exist in legal data and how they relate, so that AI agents can reason, not just query. You define what Relativity's Ontology becomes: the entities, relationships, and contracts that give every Skill and Agent a shared vocabulary for legal data.

  • Data Capabilities: Reporting, Audit, and internal data infrastructure. The operational backbone that makes the platform observable, auditable, and explainable. These are non-negotiable properties in legal data intelligence use cases.

  • Knowledge / Metadata: The core data model that every product team, customer, and integration partner works with. A unified materialized document layer, consistent across all workspaces, is the mandate. Your roadmap evolves this surface to serve AI application teams as first-class consumers alongside the users who have relied on it for years.

  • Query Plane: One of the most performance-sensitive and strategically important services in the product. The mandate is a unified retrieval pillar with a rich materialized document layer: standardized ingestion APIs independent of data source, hybrid retrieval (lexical + vector) with reranking, chunking as a managed capability, and tiered storage (cold/warm/hot).

Minimum qualifications

  • 12+ years in product management; 5+ years leading platform or infrastructure PM organizations

  • Deep fluency with data platform primitives, including storage systems, metadata layers, knowledge graphs, query engines, or equivalent. You can design an

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