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Tier-1 employer, popular Product Manager title, metro Hyderabad location, and broad data/AI platform requirements increase applicant density.
Requires specialized semantic data platform and product skills but remains reasonably transferable across industries with similar data-platform needs.
Explicit 10+ years requirement plus mandatory product/platform and AI/context engineering experience creates stringent shortlisting filters.
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Own the product definition, development, and evolution of core context serving capabilities within the enterprise Data Context Layer (DCL) enabling standardized self-service serving of data context across enterprise products.
Collaborate with engineering, architecture, governance, and platform teams to deliver scalable, governed, reusable context services that support agentic AI workflows and traditional data products.
Drive product vision, roadmap, adoption, and operational readiness focused on usage, quality, reuse, and integration with broader data platforms and AI-enabled applications.
10+ years of product management experience in technical products, data platforms, or enterprise software.
Experience working closely with engineering teams on platform or infrastructure capabilities.
Working knowledge of data context, metadata, ontology/semantic concepts, and agentic AI, prompt engineering, context engineering concepts.
No relocation, VISA sponsorship, or travel required; based in Hyderabad as per company location information.
Strong technical fluency in semantic systems and data context governance with ability to translate complex abstract concepts into actionable product features.
Experience managing platform/self-service capabilities at enterprise scale with focus on adoption, governance, and integration across teams.
Comfortable operating at the intersection of product, architecture, and AI initiatives to balance innovation with control and delivery excellence.