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Strong Fortune 50 brand, popular product role, metro Bangalore location increase candidate competition.
Role requires search/recommendation and retail personalization expertise, limiting cross-industry transferability.
Explicit 7+ years, mandatory search/personalization and experimentation skills raise filter strictness.
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Own the algorithmic organization and personalization of Search Listing Pages (SLPs), including module selection, ordering, and page structure to optimize user engagement and conversion.
Lead design and execution of A/B experiments to improve click-through rate (CTR), add-to-cart (ATC), and conversion rate (CVR) while maintaining enterprise guardrails.
Collaborate cross-functionally with Ranking/Retrieval, Data Science, UX/Design, Site Merch, SEO, and Platform teams to define features, personalization logic, and ensure priority product visibility.
7+ years of Product Management or equivalent experience with live experimentation on consumer-facing surfaces.
Demonstrated experience in Search, recommendations, or personalization on high-traffic pages.
Proficiency with A/B testing and related metrics (CTR, ATC, CVR), including ability to read dashboards and query data (e.g., SQL/BigQuery).
Experience working with ranking/reranking systems, embeddings, or session features, preferably in retail/e-commerce style-led categories (apparel, décor, beauty).
Experience shipping page-level organization or module-ranking algorithms at scale, with measurable success in algorithmically driven personalization.
Comfortable balancing latency, cost, and quality trade-offs in real-time feature stores and data pipelines.
Strong capability in translating cross-functional style and design priorities into clear algorithmic requirements and data features with rigorous experimentation focus.