Senior Product Manager, AI Content Platform
Lead the product strategy for Hearst’s enterprise AI content platform, defining semantic search, vector embeddings, and knowledge-graph capabilities that power AI-driven search, personalization, and generative applications across media and advertising.
- Compensation
- $175K–$195K / yr
- Location
- New York, NY, United States
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 7+ years
- Category
- Product
- Posted
Skills
Must have
- 7–10 years of experience in Product Management or Platform Product Management, with experience building enterprise platforms or AI-powered products.
- Strong understanding of modern AI technologies, including LLMs, RAG, vector embeddings, semantic search and knowledge graphs.
- Experience working with vector databases, search technologies, metadata management, content processing pipelines, or knowledge management platforms.
- Experience defining product strategy, roadmaps, requirements, and success metrics for highly technical platforms.
- Strong analytical and systems-thinking skills with the ability to translate emerging technologies into scalable enterprise capabilities.
- Excellent communication skills with experience influencing senior leadership and aligning cross-functional stakeholders around long-term platform strategy.
- Bachelor's degree required; advanced degree in Computer Science, Data Science, Engineering, Information Science, or related field preferred.
- Preferred experience in digital media, publishing, advertising technology, recommendation systems, search technologies, or enterprise AI platforms.
Full description
About the Role
The Hearst Corporate Data Team is seeking a Senior Product Manager, AI Content Platform to lead the strategy, development, and evolution of Hearst's enterprise AI content platform. Reporting to the VP, Identity Product Development, this role will own the product vision and execution for the foundational capabilities that enable AI-powered search, personalization, recommendation, knowledge retrieval, and generative AI applications across Hearst.
You will define and deliver the next generation of enterprise content intelligence services, including semantic enrichment, vector embeddings, knowledge graphs, content ontology, metadata, and semantic search capabilities. Working closely with Product, Engineering, and business stakeholders, you will transform Hearst's content into structured, machine-understandable assets that power enterprise AI products and experiences.
The ideal candidate combines deep product management experience with a strong understanding of AI, semantic technologies, and modern data platforms. This role is hybrid and based in New York City.
Key Responsibilities
- Own the product strategy, roadmap, and execution for Hearst's enterprise AI Content Platform, serving as the foundation for AI-powered products and services across the company.
- Lead development of enterprise content intelligence capabilities including vector embeddings, semantic search, knowledge graphs, ontology management, metadata enrichment, entity extraction, and AI-driven content understanding.
- Define the product vision for scalable content processing pipelines that transform editorial content into AI-ready assets supporting retrieval, recommendation, personalization, and generative AI applications.
- Partner closely with Engineering, Product, and business stakeholders to prioritize platform capabilities and deliver enterprise solutions.
- Drive development of semantic search, vector databases, retrieval pipelines, and RAG capabilities that improve discoverability and AI performance.
- Evaluate emerging AI technologies, foundation models, embedding models, vector databases, and semantic technologies to continuously improve platform capabilities.
- Translate complex AI and machine learning concepts into product requirements and actionable engineering roadmaps.
- Serve as the product leader for enterprise content intelligence, enabling downstream personalization, advertising, audience insights, and AI-powered consumer experiences.
Qualifications
- 7–10 years of experience in Product Management or Platform Product Management, with experience building enterprise platforms or AI-powered products.
- Strong understanding of modern AI technologies, including LLMs, RAG, vector embeddings, semantic search and knowledge graphs.