onsite
Product Manager II - AI
Product Manager II - AI
As a Product Manager II - AI, you will lead the vision, strategy, and execution for AI-first products within Razorpay. This role involves defining AI-driven capabilities across various verticals like Payments and Lending, and collaborating with cross-functional teams to deliver innovative solutions.
About the role
About the Role
As Product Manager II – AI, you’ll be at the heart of Razorpay's transformation, leading the charter to conceptualize and ship AI-first experiences that power Razorpay’s next generation of fintech products.
Key Responsibilities
- Own the AI Product Vision: Define and lead the product roadmap for AI-driven capabilities across one or more verticals—e.g., Payments, Lending, Risk, Banking, etc. Collaborate with leadership to align AI strategy with Razorpay’s long-term product vision.
- Drive AI-First Problem Solving: Identify high-impact use cases where AI/ML can unlock efficiency, automation, or smarter decisioning. Work closely with Data Science, Engineering, and Design to prototype and scale these solutions.
- Data with Empathy: Blend user research, data insights, and competitive analysis to deeply understand merchant pain-points. Prioritize problems and solutions that balance business goals, customer outcomes, and feasibility.
- Execution Excellence: Write high-quality PRDs and own sprint planning with Engineering and DS teams. Manage the product lifecycle from discovery to launch to iteration.
- Cross Functional Collab: Partner with Compliance, Risk, Operations, and Business teams to embed AI thoughtfully. Co-create with ecosystem players where needed—e.g., AI fraud vendors, credit bureaus, etc. Shape GTM plans in collaboration with Product Marketing. Instrument performance tracking and continuously iterate based on feedback and outcomes.
What We're Looking For
- 4–6 years of product management experience, ideally in fintech or B2B SaaS.
- Deep curiosity and foundational understanding of AI/ML concepts (you don’t have to code, but you should know what a model pipeline is).
- You’ve shipped or worked on AI/ML-powered products—personalization, recommendations, chatbots, risk scoring, etc.
- Strong analytical skills, with comfort navigating ambiguity and complex systems.
- First-principles thinker who also values speed and execution.
- Ability to translate technical ideas into compelling customer value propositions.