Job Description

About The Role

Job Description – Technical Product Manager

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

Required Experience

Overall Experience: 6+ years in Product Management, with at least 2–3 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.

Core Skills

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

Behavioural & Soft Skills

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