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Senior Technical Product Manager – Content Data & Intelligence

🇺🇸 New York, United States Fully remote5+ yearsPosted 2 mo ago
Required Candidate location: Central America, South America or Mexico

Skills & Languages

Must-have required
Artificial Intelligence2 Year(s)Cms3 Year(s)
Languages required
English

About the Role

This is a high-impact opportunity to lead the strategy and delivery of next-generation content intelligence capabilities for a global media platform powering content distribution, enrichment, and AI-driven discovery at scale.

As Senior Technical Product Manager – Content Data & Intelligence, you will own the roadmap for metadata, taxonomy, vectorization, and knowledge graph services that enable semantic search, AI licensing, contextual advertising, and multimodal content discovery across text, image, audio, and video assets.

You'll work at the intersection of AI, media, and platform engineering — partnering closely with engineering, AI/ML, editorial, advertising, and rights management teams to shape the future of content intelligence infrastructure.

Most Important

  • 7+ years of experience in technical product management, platform delivery, or content/data technology
  • Proven experience delivering metadata, taxonomy, search, AI, or content intelligence platforms
  • Strong understanding of APIs, distributed systems, cloud platforms, and data pipelines — including the ability to define and read OpenAPI/Swagger specifications, call endpoints, structure JSON responses, and define API usage plans (RPS limits, monthly quotas)
  • Hands-on familiarity with semantic search, vector databases, embeddings, and multimodal AI
  • Experience working with CMS, publishing, media asset management, or content platforms
  • Strong cross-functional leadership and stakeholder management skills across engineering, editorial, advertising, and rights teams
  • Experience in agile product and engineering environments

Nice to Have

  • Experience with IAB advertising taxonomy and metadata governance standards
  • Familiarity with enrichment pipelines, OCR, transcription, and embeddings workflows
  • Background in rights metadata, content syndication, or licensing platforms
  • Exposure to knowledge graph development and multimodal content discovery
  • Media, publishing, advertising technology, or AI platform experience








 

Includes 5 screening questions.

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