Director, Product Management - Data Intelligence Foundation

Relativity ODA LLC; United States; Hybrid; USD 180,000 - 230,000; Full time

Job summary

Relativity is seeking a Director of Product Management, Data Intelligence Foundation, to lead the full PM layer across multiple engineering orgs. You will shape storage primitives, ontology, data capabilities, knowledge/meta models, and the query plane to power AI-enabled legal data platforms.

You'll partner with engineering, research, and product teams to deliver scalable data foundations that enable Relativity aiR applications and trusted AI workflows.

Qualifications

• 12+ years in product management with focus on data/platforms.
• 5+ years leading platform or infrastructure PM teams.
• Experience designing data primitives, metadata, and knowledge graphs.

Responsibilities

• Own the full PM layer across multiple engineering orgs.
• Define files/natives substrate, ontology, data capabilities, and knowledge/meta models.
• Oversee Query Plane, standardized ingestion APIs, and hybrid retrieval strategies.

Skills

PM leadership

Platform PM

Data primitives

API design

Hiring & coaching

Education

Bachelor's degree in Business

Bachelor's degree in CS/Engineering/Design

Job description

Posting Type

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 Requirements

What you'll own

The 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 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

Preferred qualifications

• 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.

Ways of working

Engineering credibility is paramount. You will be in technical discussions with skilled and knowledgeable engineering leaders regularly. You need to be a peer in those conversations, not a relay.

Organizational cadence. You establish the 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. When priorities conflict across pillars, you hold the trade-off clearly and reso