Yahoo is a leading technology company connecting brands and partners with a vast audience. They are seeking a Content Analyst and Knowledge Engineer who will drive content programming performance improvements, influence product roadmaps, and collaborate with engineering teams on advanced AI initiatives.
Responsibilities:
- Drive iterative improvements by monitoring, analyzing, and reporting on content programming performance, translating raw data into actionable insights
- Influence the product roadmap by conducting in-depth competitive landscape and user climate analysis, proposing and advocating for high-impact feature enhancements
- Act as the editorial Subject Matter Expert (SME), ensuring seamless, high-velocity communication of product changes and escalating critical issues across cross-functional teams
- Establish order from complexity by classifying diverse, unstructured data and synthesizing user query analysis to articulate explicit user wants and underlying needs
- Innovate and champion next-generation content programming concepts, methods, and quality assurance techniques
- Execute content curation and featuring with precision, applying a rigorous blend of data-driven performance metrics and professional journalistic standards
- Bridge the gap between editorial and AI by collaborating directly with Engineering and Data Science teams on the development of Large Language Models (LLMs) and Machine Learning (ML) algorithms for cutting-edge ranking, classification, and Natural Language Processing (NLP) initiatives
Requirements:
- Bachelor's degree (BA/BS). Preferred fields: Linguistics, Data Science/Information Management, Journalism, or Computer Science
- 5+ years of progressive, relevant experience in content analysis, search quality, or data-driven content management
- Exceptional organizational and strategic communication skills—including the ability to articulate complex technical issues in clear, precise written and verbal form. Demonstrated ability to exercise sound editorial and business judgment
- Strong technical aptitude and proven ability to interface effectively with Engineering teams, including a deep understanding of the unique algorithmic and UX challenges of mobile vs. desktop search
- Expertise in taxonomy development, content categorization systems, and data classification schema
- Proven analytical ability to collect, interpret, and translate complex search data into content requirements. Experience creating comprehensive keyword lists, including managing synonyms and common misspellings