Senior Product Manager || Generative Ai

2 days ago


Gurgaon Haryana Bangalore Karnataka, India PayU Full time

Job Title Senior Product Manager - Generative AILocation Bangalore GurgaonDepartment ProductReports To Product LeaderAbout the RoleWe are looking for a dynamic and experienced Senior Product Manager - Generative AI to lead the strategy development and implementation of AI-driven products that transform customer and merchant experiences across our payments ecosystem You will work closely with engineering data science compliance and business teams to develop next-generation solutions powered by large language models LLMs and other generative AI technologies Key Responsibilities Define and drive the roadmap for generative AI capabilities across our product suite e g fraud detection customer support automation personalized payment experiences Work cross-functionally with AI ML engineers data scientists UX designers and business stakeholders to build launch and iterate on AI-powered features Identify customer pain points and develop AI-first product solutions that improve efficiency security and user engagement Evaluate third-party LLM platforms e g OpenAI Anthropic Google and work with internal teams to integrate them securely and effectively Monitor product performance using data and feedback and use insights to optimize AI models and user interactions Ensure all AI product developments comply with financial regulations and data privacy laws e g RBI GDPR Required Qualifications 4 years of product management experience with at least 1 years in AI products experience in payments or fintech is highly preferred Understanding of generative AI models LLMs transformers embeddings and their applications in real-world products Proven track record of shipping B2C or B2B AI ML-driven products at scale Strong analytical strategic thinking and communication skills Ability to work in a fast-paced cross-functional environment with regulatory sensitivity Nice to Have Experience with prompt engineering and fine-tuning LLMs Background in data science machine learning or software engineering Familiarity with payment ecosystems risk modeling and fraud analytics


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