AI Technical Product Manager
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What you'll do
- 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
What they're looking for
- 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.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Job Description –Technical Product Manager
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: 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
Company
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