Product Manager - AI and Agentic

Bangalore Division · Full Time · On-Site. Own key parts of the credit card product end-to-end, from strategy and roadmap to execution and growth; Own AI… service marketplace revenues, for loans, credit cards, and credit building tools. Bright has launched an AI money assistant and AI agentic UX flows for access to credit. It will be the first AI-driven Consumer Fin Tech for middle-income consumers. The Bright product suite has potential for global markets beyond the US. The market size is 100M global middle-income consumers, with a revenue pool opportunity of $15B. Bright is backed by 3 top global venture capital firms, and leading tech angel investors in the USA, Europe, and Asia. Bright was founded in 2019 by a founding team from Mc Kinsey’s Banking Practice (Petko Plachkov and Avi Patchava) and In Mobi Data Scientists (Varun Modi and Avi Patchava). The core team is ex-In Mobi Engineering and Data Sciences, recently joined by senior leaders from Mc Kinsey. Bright is a data-driven, fast-paced execution culture that will build a Global Consumer Fin Tech, all functions operating from India.' What is the team & role about? We’re looking for a Product Manager to join our AI product team and help build the next generation of AI-powered and agentic experiences for our customers. You’ll work closely with product leadership, engineering, design, data science, and business teams to identify high-value opportunities where AI can fundamentally improve how customers interact with financial products. This is a hands-on role for someone excited about building and shipping AI products, not just writing AI strategies. What will you do? Own key parts of the credit card product end-to-end, from strategy and roadmap to execution and growth. Own AI product initiatives end-to-end — from identifying customer problems to prototyping, launching, measuring, and scaling solutions Identify opportunities to use LLMs, agents, automation, and intelligent decisioning to improve customer experiences and business outcomes. Design and build agentic workflows that can reason, take actions, use tools, and complete multi-step tasks on behalf of customers. Work closely with engineering and AI/ML teams on LLM architecture, agent workflows, tool use, evaluations, guardrails, and reliability. Define product success metrics and build frameworks to evaluate AI experiences across quality, accuracy, task completion, customer outcomes, and business impact. Rapidly prototype new AI experiences and turn promising concepts into production-ready products. Run experiments and continuously iterate on prompts, workflows, UX, models, and underlying product logic. Partner with Risk, Operations, Compliance, and other stakeholders to responsibly deploy AI in a financial-services environment. Stay close to the rapidly evolving AI ecosystem and translate new capabilities into practical product opportunities. Ideal candidate profile looks like 3+ years of product management experience, Has owned and built AI/ML products Strong understanding of LLMs, generative AI, AI agents, RAG, tool calling, and evaluation frameworks. Experience taking AI products from 0→1 and into production. Strong product sense — you can distinguish between an interesting AI demo and a product that actually solves a customer problem. Strong analytical and experimentation skills, with a focus on measurable outcomes. Comfortable working closely with engineers and data scientists and getting into the technical details when required. Ability to operate in high ambiguity and fast-changing environments. Excellent communication, prioritization, and stakeholder management skills. Experience in fintech, lending, payments, or other regulated industries is a strong plus. List the key skills, qualifications, and experiences required or preferred for success in the role. Highlight both technical competencies and soft skills such as collaboration, ownership, or problem-solving. Experience & Background: 3+ years of product management experience, ideally in fintech, consumer technology, lending, payments, or credit. Has owned and built AI/ML products Strong understanding of LLMs, generative AI, AI agents, RAG, tool calling, and evaluation frameworks. Mindset & Operating DNA: Hands-on experience with building an E2E AI product Strong understanding of LLMs, generative AI, AI agents, RAG, tool calling, and evaluation frameworks. Experience taking AI products from 0→1 and into production. Strong product sense — you can distinguish between an interesting AI demo and a product that actually solves a customer problem Non-Fit Profiles No Experience with an AI product Project Management experience without product ownership What Bright Offers? A profitable sub-unicorn with U.S. market scale – liquidity potential at $1–3B valuations. Real ownership: You run your own BU with an independent P&L. Wealth creation: Equity at an inflection stage of scale. A data-driven, high-cadence culture that combines consulting rigor with Fin Tech speed. Apply for this position Autofill from resume Save time by uploading your resume. (Only PDF or DOCX format supported) Upload file Loading... Made with