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Tier-1 brand, mid-level generalist role, metro location, and broad skillset attract many applicants.
Fullstack product-engineering and AI skills transfer easily across industries.
Explicit 3–6 years plus AI-native and fullstack product requirements create moderate filtering.
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Own product or feature end-to-end from problem scoping through building to user adoption and impact measurement.
Develop solutions flexibly across frontend and backend as per problem needs, contributing to 0→1 projects with real autonomy.
Drive Razorpay's AI transformation at scale by building AI-native products and defining the AI journey within the company.
3-6 years of experience building software as a technical PM or user-focused product engineer.
Proven track record of shipping products, not just building them.
Proficiency in debugging code and managing CI/CD configurations.
Experience using AI tools (e.g., Claude Code, Cursor) for over a year, with AI assistance as a core part of workflow.
Demonstrates a customer-backward approach with strong product sense, prioritizing "why" before "how".
Broad technical expertise with deep expertise in at least one domain; comfortable juggling multiple roles including product solutioning, prototyping, design, and market adoption.
Thrives in ambiguous environments requiring flexibility, autonomy, and breadth rather than deep specialization or detailed specs.