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Job Description: Technical Product Manager
Location: Mumbai, Turbe
Experience: 7+ Years
Work Mode: 5.5 Days WFO(1st, 3rd and 5th Sat working)
About the Role
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: 7+ 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
Required
Preferred
All fields marked * are required
Job Description: Technical Product Manager
Location: Mumbai, Turbe
Experience: 7+ Years
Work Mode: 5.5 Days WFO(1st, 3rd and 5th Sat working)
About the Role
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: 7+ 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
Required
Preferred