Product Owner, Identity (AI)

Location: Columbia, MD, United States

Salary: $135,000–$230,000 per year

Company

hirify.global is an AI services provider that combines data science, artificial intelligence, technology, and human expertise to deliver data-driven solutions for clients.

What you will do

• Own the end-to-end identity workstream strategy, roadmap, requirements, priorities, milestones, and execution plans for Latis.
• Lead the Network Reference Graph proof of concept and development of the Latis Identity Graph.
• Define requirements for integrating external identity providers and identity spines, including Blockgraph, TransUnion, RampID, and UID2.
• Establish requirements for identity resolution, matching, graph construction, identity enrichment, and data connectivity.
• Coordinate with Integration Engineering, Data Science, and AI Engineering on technical solutions, POCs, testing, and implementation plans.
• Identify technical risks and integration dependencies, and evaluate partnerships, third-party solutions, and tag management strategies.

Requirements

• 8–10 years of relevant product management experience, including ownership of technical data, identity, or platform products.
• Experience leading identity resolution, identity graph, identity spine, or identity infrastructure products.
• Strong knowledge of identity providers and ecosystems, including Blockgraph, TransUnion, RampID, UID2, or comparable solutions.
• Experience developing multi-team technical roadmaps, leading POCs, and managing complex platform integrations.
• Understanding of matching, graph-based identity relationships, identifiers, and identity interoperability.
• Ability to translate complex technical requirements into product specifications and executable development plans while aligning technical teams.

Nice to have

• Experience in adtech, martech, media, audience data, identity, or data collaboration.
• Experience with advertising, audience activation, measurement, or media applications.
• Familiarity with privacy-enhancing technologies, multiple identity graphs, tag management platforms, and data collection architectures.
• Experience with APIs, data pipelines, cloud data platforms, distributed data architectures, and build-versus-buy decisions.

Culture & Benefits

• Full-time employment with medical, dental, and vision coverage.
• 401(k), paid time off, paid holidays, commuter benefits, spending accounts, life insurance, disability coverage, and employee assistance programs.
• Compensation depends on experience, skills, certifications, training, and location.