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Tier-1 brand and Bangalore metro increase competition, but niche AI retrieval product focus limits applicant pool.
Highly domain-specific AI retrieval and enterprise legal product experience limits cross-industry transferability.
Requires direct retrieval/RAG product experience and AI delivery, creating strict technical and domain filters.
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Own the retrieval, indexing, and ranking layer that supplies information for AI answer generation, including making core tradeoffs on precision, recall, coverage, and latency.
Define and measure answer and retrieval quality using quantitative (engagement, ratings) and qualitative (user research, failure analysis) data, moving beyond generic dashboards.
Lead end-to-end product strategy, roadmap, execution, and cross-team delivery with strong technical judgment and accountability for business impact.
Direct ownership experience with retrieval, search, indexing, or ranking systems including tradeoff decisions.
Proven experience with AI/LLM-based products for answer synthesis, understanding retrieval-augmented generation (RAG).
Significant experience managing complex products end-to-end with AI-driven functionality and demonstrated business impact.
Work Experience Required: Not explicitly mentioned in the JD.
Able to operate autonomously in ambiguous, technically complex environments, driving technical decisions rather than just managing requirements.
Experienced working with professional or enterprise users who demand high accuracy and reliability, including explainability and source attribution.
Strong capabilities in strategy, commercial judgement, stakeholder influence, and delivering measurable product outcomes in AI-enabled search/retrieval contexts.