Director, Product Management - Data Intelligence Foundation
Job Description
The Director of Product Management, Data Intelligence Foundation is responsible for owning the full product management 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, shaping the ontology to encode legal data meaning, managing data capabilities for observability, and designing the query plane for efficient retrieval.
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
- Experience building at companies where the data platform is the product, not a supporting system
- Experience building for AI systems, agents, or ML pipelines as primary consumers
Qualifications
- Bachelor's degree in Business, Computer Science, Engineering, or Design, or comparable work experience
Minimum Qualifications
- Experience building for AI systems, agents, or ML pipelines as primary consumers
- Understanding of what a model needs from data that a human doesn't, and designing for both
Preferred Qualifications
- Experience building for AI systems, agents, or ML pipelines as primary consumers
- Experience building at companies where the data platform is the product, not a supporting system
- Background in companies like Snowflake, Databricks, Elastic, MongoDB, Palantir, etc.
Benefits
Relativity offers competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes 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. 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.