Director, Product Management - Data Intelligence Foundation

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. The Director of Product Management, Data Intelligence Foundation is responsible for overseeing the full PM layer across multiple engineering organizations, ensuring that the foundational layer of the platform is effectively developed and integrated across Relativity's product teams.

Responsibilities:

• The full PM layer across multiple engineering orgs (~# engineers):
• 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)

Requirements:

• 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 API contract, contribute to engineering scope decisions, and articulate the trade-offs in a data consistency model
• Demonstrated ability to manage and build a PM team through hiring, leveling, and establishing product practice for a new domain
• Bachelor's degree in Business, Computer Science, Engineering, or Design, or comparable work experience
• Experience building at companies where the data platform is the product, not a supporting system. Snowflake, Databricks, Elastic, MongoDB, Palantir, and similar are strong indicators of the right background
• Experience building for AI systems, agents, or ML pipelines as primary consumers. You understand what a model needs from data that a human doesn't, and you design for both