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.