Knowledge Graph Operations Lead (AI)

TL;DR

Knowledge Graph Operations Lead (AI): Managing and expanding the Knowledge Graph for hirify.global's Ads Content Understanding team with an accent on team leadership, process optimization, and hands-on contribution. Focus on defining KPIs, improving data quality, and collaborating with ML Engineering to power better ads and business insights.

Location: Remote from Italy

Company

hirify.global is a community platform building a foundational engine for understanding organic and paid content through applied ML and a knowledge graph to power better ads and business insights.

What you will do

• Lead, mentor, and manage a dedicated team of Knowledge Graph experts.
• Prioritize incoming requests and coordinate daily work for efficient Knowledge Graph expansion.
• Define, design, and track key performance indicators (KPIs) for Knowledge Graph expansion, data quality, and team velocity.
• Proactively identify opportunities for process optimization and tooling improvements.
• Serve as the primary operational contact for ML Engineers and Engineering Managers.
• Contribute hands-on to expanding the Knowledge Graph by introducing new entities.

Requirements

• Location: Must be based in Italy.
• 2+ years of experience in data operations, data curation, knowledge management, or a related field.
• Experience with at least one general programming language such as Ruby or Python.
• Direct experience working with Knowledge Graphs, ontologies, taxonomies, or large-scale structured datasets.
• Strong project management skills: Proven ability to manage a backlog, prioritize competing requests, and unblock a team.
• Data-driven mindset: Experience defining, tracking, and reporting on operational metrics and KPIs.
• Excellent communication and collaboration skills, with the ability to work effectively across technical and non-technical teams.
• Familiarity with algorithms and data structures, and the ability to apply them to solve complex problems.
• A willingness to learn and stay up-to-date with SOTA ML technologies and best practices in the field.
• English: B2 required.

Nice to have

• Experience with data-querying languages (e.g., SQL, SPARQL).
• Familiarity with the digital advertising or ad-tech landscape.
• Experience working closely with Machine Learning or Data Science teams.
• Experience in process optimization or operations management.

Culture & Benefits

• Opportunity to work in a community of communities, built on shared interests and trust.
• Contribute to one of the internet’s largest sources of information with 100,000+ active communities.
• Committed to diversity, equity, and inclusion.
• Provides reasonable accommodations for qualified individuals with disabilities.