Product Manager II - Search

Company Overview

Nykaa Fashion is one of India's leading fashion and lifestyle destinations, offering a curated selection of apparel, footwear, accessories, jewellery, and home products from both global and homegrown brands. Operating on an omnichannel model with a robust digital presence, Nykaa Fashion delivers a seamless and personalized shopping experience to millions of customers across the country. Driven by technology, data, and a strong focus on customer experience, Nykaa Fashion is redefining the way India discovers and shops for fashion.

Role Overview

As a Product Manager II – Product Discovery, you will own the customer experience across Search and Product Listing Pages (PLPs), helping millions of users effortlessly discover products that best meet their needs.

Your mission is to simplify product discovery by designing intuitive browsing and shopping experiences that reduce friction, minimize cognitive overload, and enable customers to make confident purchase decisions. You will shape how customers navigate large product catalogs, refine choices, explore relevant products, and discover inspiration—all while balancing customer experience with business outcomes.

This role is ideal for someone with exceptional product intuition, strong analytical thinking, and a deep appreciation for user experience design. You should enjoy solving ambiguous consumer problems, using customer insights and experimentation to guide decisions, and partnering closely with Design to build elegant, scalable experiences.

You will work closely with Engineering, Design, Analytics, Data Science, Merchandising, and Business teams to define the future of product discovery at Nykaa.

Key Responsibilities

Own the Product Discovery Experience

• Define and drive the long-term vision and roadmap for discovery experiences across Search and Product Listing Pages.
• Continuously improve how customers browse, evaluate, compare, and discover products across large and diverse catalogs.
• Design intuitive customer journeys that reduce effort and help users quickly find products that best match their intent.
• Balance inspiration and efficiency by creating experiences that support both exploratory browsing and goal-oriented shopping

2. Build Best-in-Class Browsing Experiences

• Design intuitive filtering, sorting, navigation, and product refinement experiences that simplify customer decision-making.
• Continuously improve discovery flows by reducing friction, eliminating unnecessary complexity, and making interfaces easier to navigate.
• Partner closely with Design to create clean, elegant, and scalable shopping experiences that prioritize usability and clarity.
• Leverage customer insights to improve how information is presented, helping users make confident purchasing decisions with less effort.

3. Leverage AI to Improve Customer Discovery

• Identify opportunities where AI can meaningfully enhance product discovery and customer decision-making.
• Partner with Data Science and Engineering teams to build intelligent discovery experiences using customer behavior, personalization signals, and modern AI capabilities.
• Explore emerging interaction models, including conversational and intent-aware experiences, where they create measurable customer value.
• Ensure AI-powered experiences remain intuitive, trustworthy, and easy to understand.

4. Drive Product Decisions Through Data

• Build a strong experimentation culture through rigorous A/B testing and hypothesis-driven product development.
• Analyze customer behavior, browsing journeys, funnel metrics, and product discovery patterns to uncover improvement opportunities.
• Define and own key product metrics related to discovery efficiency, engagement, customer satisfaction, and business impact.
• Combine quantitative analysis with qualitative customer research to deeply understand user needs and validate product decisions.

5. Lead Cross-functional Execution

• Lead large, cross-functional initiatives involving Product, Engineering, Design, Analytics, Data Science, Merchandising, and Business teams.
• Translate customer problems into clear product strategies, PRDs, and measurable success metrics.
• Influence senior stakeholders through structured thinking, customer insights, and data-backed decision-making.
• Mentor product managers and contribute to strengthening product management practices across the organization.

Required Skillset

• Academic Background: Bachelor's or Master's degree from a Tier 1 institution, preferably in Computer Science, Engineering, or a related technical field
• Experience - 3+ years of Product Management experience building customer-facing products in consumer internet or B2C e-commerce companies. Experience in beauty, fashion, marketplace, or retail e-commerce is preferred
• Demonstrated ownership of complex product areas with measurable customer and business impact.
• Product Thinking & UX - Exceptional product sense with a strong understanding of customer behavior and shopping journeys.
• Proven experience designing intuitive consumer experiences in partnership with Product Design teams.
• Ability to simplify complex workflows into elegant, easy-to-use customer experiences.
• Strong appreciation for interaction design, information architecture, and usability principles.
• Analytical Excellence- Strong analytical skills with expertise in product metrics, funnel analysis, experimentation, and behavioral analytics
• Technical Fluency - Comfortable working with Engineering and Data Science teams to build scalable consumer products. Ability to understand technical trade-offs and collaborate effectively on AI-enabled product capabilities without needing deep machine learning expertise.
• Leadership - Strong stakeholder management and cross-functional leadership skills.
• Excellent written and verbal communication with the ability to influence across teams and senior leadership

Good to Have

• 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.