AI Technical Product Manager

Owns:Agentic journey design , AI roadmap , Use-case prioritization , Customerjourney optimization , LLM orchestration priorities , Enterprise Architect , ,Integration standards Scalability , Security framework , Customer Journey Experience , Conversation Experience Lead , Conversational flows , Human-likeonboarding journeys multi-agent handoffs , Exception handling ,

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Required Experience

• Overall Experience: 6+ years in Product Management, with at least 23 years explicitly spent building and shipping AI agent, conversational AI, or automated lending products.
• Domain Expertise: Deep hands-on knowledge of Indian BFSI regulations, specifically Loan Against Property (LAP) guidelines, KYC/AML (Anti-Money Laundering) requirements, and standard underwriting workflows.
• AI/ML Exposure: Practical experience working with LLM orchestration frameworks (e.g., LangChain), RAG (Retrieval-Augmented Generation) architectures, and evaluation pipelines.
• Agile Scaling: Proven track record of turning ambiguous user feedback into clear technical specifications, user stories, and acceptance criteria.

CoreSkills

• Agentic Workflows Tool Use: Understanding of function calling, orchestrating memory for agents, and API integrations.
• Underwriting Logic Credit Systems: Proficiency in translating traditional credit decision matrices (e.g., FOIR, LTV ratios) into agentic algorithms.
• Data Proficiency: Working knowledge of SQL, Python, or data analytics to trace agent outputs, cost, and latency

BehaviouralSoft Skills

• Risk Empathy: Strong bias toward designing transparent, secure, and auditable financial software.
• Cross-functional Collaboration: Ability to align legal, compliance, engineering, and data sciene

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