Director, Product Management - Data Intelligence Foundation
Job Description
The Director of Product Management, Data Intelligence Foundation is responsible for owning the full PM layer across multiple engineering orgs, including Files/Natives, Ontology/Relationship, Data Capabilities, Knowledge/Metadata, and Query Plane. Key responsibilities include defining the substrate for legal data accessibility, designing an API contract, contributing to engineering scope decisions, and articulating the trade-offs in a data consistency model.
Files/Natives: Define the storage primitive for legal documents, images, and native files, ensuring consistent accessibility across all products, partner integrations, and AI workflows with SLAs, access contracts, and API surfaces.
Ontology/Relationship: Develop the semantic layer that encodes meaning, defining entities, relationships, and contracts that provide a shared vocabulary for legal data to AI agents.
Data Capabilities: Build the operational backbone that makes the platform observable, auditable, and explainable, focusing on reporting, audit, and internal data infrastructure.
Knowledge/Metadata: Evolve the core data model to serve AI application teams as first-class consumers alongside legacy users, ensuring a unified materialized document layer across all workspaces.
Query Plane: Ensure the performance sensitivity and strategic importance of this service, with a unified retrieval pillar featuring standardized ingestion APIs, hybrid retrieval, chunking, and tiered storage.
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
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 (e.g., Snowflake, Databricks, Elastic, MongoDB, Palantir)
Experience building for AI systems, agents, or ML pipelines as primary consumers
Qualifications
Experience building the Foundational Layer to make every Relativity AI application smarter, every agent more reliable, and every Relativity product team faster
Understanding of defensibility, chain of custody, and auditability as first-class design requirements in legal domain expertise
Benefits
Competitive, fair, and equitable compensation practices including a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between $188,000 and $282,000.