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Mid-level popular product title, metro Bengaluru location, and recognizable brand raise competition significantly.
Requires VLM, GenAI and entertainment metadata domain knowledge, reducing cross-industry transferability.
Explicit 5+ years plus mandatory LLM/GenAI product expertise creates strict shortlisting filters.
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Own and drive the Gracenote Instream Video Intelligence (ISVI) platform roadmap focusing on Vision Language Models (VLMs) and Generative AI video technologies.
Coordinate product delivery with a cross-functional team including product managers, engineering, data science, UX, commercial teams, and external partners.
Shape commercial strategy, product strategy, pricing, and customer engagement to build AI-powered products for Connected Television (CTV) video and sports search and discovery.
5+ years experience leading technology product teams.
Demonstrated knowledge of language models and probabilistic technologies, with applied experience developing language model-based products using large authoritative datasets.
Strong executive communication skills to build trust with stakeholders in evolving data and technology environments.
Preferred experience in the CTV or entertainment metadata domain.
Experienced product manager skilled in coordinating multiple product teams and aligning cross-functional deliverables across geographies (notably US counterparts).
Technically proficient in AI/ML, especially Vision Language Models, with a pragmatic understanding of their commercial applications in entertainment metadata.
Capable of strategic influence on pricing and commercial strategy within rapid technological evolutions in the media and Connected TV industry.