This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Join a globally recognized leader in digital entertainment, a pioneering company at the forefront of shaping how millions experience content worldwide. This is an unparalleled opportunity to make a profound impact by ensuring the quality, accuracy, and scalability of critical content data that powers a vast array of features and user experiences. As a pivotal member of our team, you will drive operational excellence and innovation, directly influencing the future of content curation through cutting-edge technology and strategic leadership. We are seeking a dynamic individual to lead our content curation operations, serving as the crucial bridge between operational realities and advanced technical solutions. You will be instrumental in enhancing the integrity of content profiles, bios, images, and event listings, ensuring a clean and trustworthy data foundation. This role places you at the intersection of operations, vendor management, and advanced technology, where you will translate complex operational challenges into clear technical requirements, evaluate innovative solutions, and decide what ships to production. Your work will directly empower our users and shape the future of how content is discovered and engaged with on a massive scale.
Job Responsibility:
Lead end-to-end content curation operations, covering content profiles, bios, images, disambiguation, and the expanding surface area of content-facing data, acting as the primary operational owner and escalation point for vendor teams
Bridge communication between business stakeholders and technical teams (Data Science, Engineering, AI/ML), ensuring operational needs are clearly understood and technical tradeoffs are effectively communicated
Translate operational challenges, such as content disambiguation, image quality, and bio accuracy, into clear, actionable specifications for engineering and data science teams
Break down ambiguous problems into well-scoped, prioritized workstreams, sequenced by impact, focusing on high-leverage solutions and iterative development
Evaluate technical proposals and model outputs, participating in design reviews and developing evaluation frameworks (e.g., golden sets, quality metrics, error analysis, human-in-the-loop feedback) to assess the production readiness of AI/ML solutions
Design and iterate on manual review tooling that surfaces AI-generated inputs (confidence scores, candidate matches, suggested actions) to enhance reviewer throughput and accuracy
Identify opportunities to apply ML models, agentic workflows, and automation to pressing content curation problems, conducting lightweight ROI and impact analyses to differentiate between short-term tactical wins and long-term structural solutions
Communicate upward by building clear, compelling presentations and presenting progress, tradeoffs, and recommendations to leadership
Partner cross-functionally with Engineering, Data Science, Product, Analytics, and peer Operations teams to surface interdependencies and align priorities
Requirements:
5+ years of experience in operations, program management, or technical product roles with significant exposure to AI/ML-driven workflows
Demonstrated experience translating operational or product problems into ML requirements and collaborating directly with data scientists and engineers through model development cycles
Experience evaluating model outputs, including designing evaluation sets, quality metrics, error analysis, and human feedback loops
Experience designing or specifying review/annotation tooling that integrates AI inputs for human reviewers