Posting Type _ Remote/Hybrid _ 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. The Director of Product Management, Data Intelligence Foundation is one of the highest-leverage product roles at Relativity.

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 canbuild onwith confidence. The underlying data primitives are the foundation; the degree to which theretrieval layer (Query Plane)



matches this structuredetermineshow easily the organization can navigate between “slow data” and “rapid data” use cases.

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. These are non-negotiable properties in legal data intelligence use cases. The core data model that every product team, customer, and integration partner works with.

Your roadmap evolves this surface to serve AI application teams as first-class consumers alongside the users who have relied on it for years. 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). 12+ years in product management; 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 does not, and you design for both. You will be in technical discussions with skilled and knowledgeable engineering leaders regularly.Youestablishthe operating rhythm for a multi-pillar PM org: the forum structure, planning cadence, and decision frameworks that let the team move with velocity and alignment.

This is a product strategy job and a change management job simultaneously. Coaching a scaling PM org. Several of these primitives are being defined as the engineering teams build. Legal domain expertise is notrequired.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity.

📌 Director, Product Management - Data Intelligence Foundation (Winnipeg)
🏢 Relativity
📍 Winnipeg