Lead and enhance our traditional SEO practice—drive audience growth, technical optimization, and keyword research across multiple brands.
Define and implement new practices for Generative AI Optimization, ensuring Hearst’s content maintains high visibility and credibility within emerging AI-driven consumer interactions.
Establish frameworks for prompt optimization, structured data enrichment, content readability by AI engines, and authority signaling for generative AI tools.
Collaborate closely with editorial teams to provide insights and guidance on content strategy based on SEO and AI optimization best practices.
Collaborate deeply with product, data science, and engineering teams to embed AI-optimized practices across our content lifecycle.
Coordinate, advise, and provide strategic oversight for SEO and generative AI experimentation, whether executed at brand or central levels, facilitating shared learnings and best practices.
Proactively stay ahead of rapid developments in generative AI and SEO, swiftly adapting strategies to leverage emerging trends and technologies.
Share critical developments, intel and the implications for the Hearst Magazines business with internal teams and executives.
Requirements
Proven expertise and hands-on experience with AI and generative AI platforms (ChatGPT, Google Gemini, Bard, etc.), including prompt engineering, structured data, and AI content optimization strategies.
5–10 years of experience in SEO leadership at large-scale publishers or digital-first media organizations.
Deep technical and editorial SEO expertise: schema/structured data, indexing strategies, content optimization, accessibility, page speed, and UX.
Proven adaptability in embracing new technologies and trends.
Ability to move quickly and decisively, comfortable operating in fast-paced environments characterized by rapidly changing landscapes.
Strong communication and collaboration skills; effective at influencing across departments.
Entrepreneurial and strategic mindset, comfortable defining and shaping innovative new disciplines.
Preferred: Familiarity with machine learning concepts, particularly Natural Language Processing (NLP), and demonstrated ability to apply ML insights toward SEO and generative AI optimization strategies.
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