Director, Product Management - Data Intelligence Foundation

Location: Illinois, United States; remote/hybrid

Salary: $188,000–$282,000 annually, plus annual performance bonus and long-term incentives.

Company

hirify.global builds AI technology and legal data intelligence products that help organizations organize data, discover the truth, and act with confidence.

What you will do

• Own product management across multiple engineering organizations building the Foundational Layer of the hirify.global Intelligence Model.
• Define the product strategy and roadmap for files, ontology, relationships, data capabilities, knowledge, metadata, and the query plane.
• Shape storage primitives, semantic models, standardized ingestion APIs, hybrid lexical and vector retrieval, reranking, managed chunking, and tiered storage.
• Drive adoption of foundational platform services across hirify.global product teams, integrations, AI applications, and agents.
• Establish planning cadences, decision frameworks, operating rhythms, and trade-off processes for a multi-pillar PM organization.
• Hire, coach, level, and develop product managers while influencing cross-functional teams without direct authority.

Requirements

• 12+ years of product management experience, including 5+ years leading platform or infrastructure product management organizations.
• Deep knowledge of data platform primitives such as storage systems, metadata layers, knowledge graphs, and query engines.
• Ability to design API contracts, contribute to engineering scope decisions, and explain data consistency trade-offs.
• Experience building PM teams through hiring, leveling, and establishing product practices for new domains.
• Bachelor’s degree in Business, Computer Science, Engineering, or Design, or comparable work experience.
• Ability to work as a peer with engineering leaders and understand defensibility, chain of custody, and auditability requirements.

Nice to have

• Experience at data-platform companies such as Snowflake, Databricks, Elastic, MongoDB, or Palantir.
• Experience building AI systems, agents, or ML pipelines as primary data consumers.
• Understanding of the differences between data requirements for models and human users.

Culture & Benefits

• Competitive base salary with an annual performance bonus and long-term incentives.
• Work in a product organization focused on AI, legal data intelligence, and platform-scale infrastructure.
• Emphasis on engineering credibility, evidence-based decisions, organizational clarity, and cross-functional trust.