Note: The job is a remote job and is open to candidates in USA. 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 the foundational layer of the AI platform is effectively developed and adopted across Relativity's product teams.
Responsibilities
- 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
- Define what Relativity's Ontology becomes: the entities, relationships, and contracts that give every Skill and Agent a shared vocabulary for legal data
- Evolve the core data model that every product team, customer, and integration partner works with
- Mandate 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)
- 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
- Define how internal teams discover, integrate, and get value from platform services, and measure it
- Build PM capability, not just PM headcount, leveling people up while running at speed
- Make good decisions with incomplete information and update them when required
Skills
- 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
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