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Tier-1 brand, metro location, and a Product Manager title increase applicant density despite niche data/semantic focus.
Skills are platform and semantic-data specialized but transferable across enterprise-tech industries, not broadly generic.
Explicit 10+ years requirement plus mandatory platform, data, and semantic expertise creates strict screening filters.
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Own product definition, development, and scaling of a core enterprise data context serving capability enabling self-service publishing, discovery, and consumption of standardized data context.
Collaborate with engineering, architecture, governance, and platform teams to integrate, govern, and operationalize this capability across multiple products and AI use cases.
Drive adoption, usability, reliability, and success metrics to support governed and scalable intelligent systems including agentic AI workflows.
10+ years product management experience in technical products, data platforms, or enterprise software.
Familiarity with data context, metadata, ontology, or semantic systems and concepts.
Working knowledge of agentic AI, prompt engineering, and context engineering concepts.
Location: Hyderabad, India; No relocation or visa sponsorship; No travel required.
Experienced in owning platform or infrastructure-level product capabilities with strong technical fluency in data and semantic systems.
Able to translate abstract, complex concepts into actionable product requirements and drive adoption at enterprise scale.
Skilled in collaborating closely with engineering, architecture, governance, and AI initiative teams to balance innovation with governance and operational stability.