About The Role

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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: Robust bias toward designing transparent, secure, and auditable financial software.

- Cross-functional Collaboration: Ability to align legal, compliance, engineering, and data scien

📌 AI Technical Product Manager (Navi Mumbai)
🏢 AU Small Finance Bank
📍 Navi Mumbai