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Recognizable global brand, popular product PM title, and Bangalore metro increase applicant competition despite senior, specialized role.
Highly domain-specific AI retrieval and enterprise legal context increases preference for similar industry backgrounds.
Requires mandatory retrieval/RAG and enterprise AI product experience, making screening and technical fit strict.
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Own end-to-end product outcomes for the retrieval, indexing, and ranking layer feeding AI answer generation (RAG), balancing precision, recall, coverage, and latency.
Define and measure retrieval and answer quality using quantitative metrics and qualitative user research for high-accuracy professional users.
Drive strategy, roadmap, cross-team execution, and stakeholder engagement including close collaboration with engineering and data science in a global product organization based in Bangalore.
Direct ownership experience of retrieval, search, indexing, or ranking products with tradeoff management (speed vs. accuracy, precision vs. recall, coverage vs. noise).
Hands-on experience with LLM/AI products that synthesize answers, including knowledge of retrieval-augmented generation (RAG).
Proven track record measuring and improving answer or retrieval quality using both quantitative and qualitative signals.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in managing complex AI-driven products end-to-end with demonstrable business impact in enterprise/professional domains with high accuracy demands.
Skilled at working with engineering teams on technically ambiguous problems using spec-level precision and capable of influencing technical decisions.
Strong commercial judgement and strategic mindset with ability to lead in complex matrixed environments and communicate complex AI capabilities clearly to diverse stakeholders.