Job Details - Find Your Perfect Career Opportunity

As a Product Manager 2 – Search at Nykaa, you will own the end-to-end search experience across our app and web platforms. This is not a UI/UX-only role — you are a product builder who will redefine how millions of users discover beauty and lifestyle products through intelligent, AI-first search. You will work at the intersection of information retrieval, natural language understanding, and machine learning to build search experiences that are fast, relevant, and increasingly personalized. You will partner closely with Data Science, Engineering, and Design teams to ship high-impact features and continually raise the bar on search quality and innovation.

• Own and Elevate the Core Search Experience
• Build AI-First Search Features
• Experimentation and Data-Driven Iteration
• Cross-functional Execution

• Academic Background: Bachelor's or Master's degree from a Tier 1 institution, preferably in Computer Science, Engineering, or a related technical field.
• Experience: At least 2 years of product management experience in consumer internet or e-commerce, with direct ownership of search, discovery, or AI/ML-powered features.
• Technical Fluency: Comfortable working with Data Science and Engineering teams. Able to meaningfully discuss query understanding, ranking models, embeddings, precision/recall trade-offs, and API design.
• AI Familiarity: Working knowledge of modern AI/ML techniques relevant to search — including NLP, vector search, semantic retrieval, LLMs, and personalization signals.
• Analytical Depth: Strong command of data — able to define success metrics, interpret A/B test results, and use behavioral analytics to drive prioritization.
• Product Thinking: Ability to translate complex technical capabilities into simple, delightful user experiences that drive measurable business outcomes.
• Communication: Able to bridge technical complexity and business strategy, keeping engineering, design, and business stakeholders aligned.

• Prior experience with search platforms, recommendation systems, or catalog quality tooling.
• Exposure to LLM-based product development, prompt engineering, or AI product prototyping.
• Familiarity with beauty, fashion, or lifestyle e-commerce and the nuances of catalog-driven search.