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Paymeindia - Product Manager - Enterprise AI

4 years

0 Lacs

Noida Uttar Pradesh India

Posted:2 days ago| Platform: Linkedin logo

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Skills Required

ai power support risk vision automation data openai design logic metrics efficiency compliance security development strategies management ml lending architecture engineering retrieval tracking communication

Work Mode

On-site

Job Type

Full Time

Job Description

We're hiring a Product Manager - Enterprise AI to lead this transformation. You'll define and deliver AI tools that power voice intelligence, agent copilots, decision support systems, and risk engines-supercharging our teams and setting a new benchmark in fintech productivity.

Key Responsibilities

  • Define the product vision and roadmap for our internal GenAI suite : voice copilots, risk intelligence agents, ops automation tools, and regulatory AI assistants and much more.
  • Lead cross-functional teams and functions to ship AI-powered workflows that reduce TAT, boost productivity, and increase accuracy.
  • Leverage real-time data-call logs, loan journeys, customer chats, and repayment events-to build context-aware GenAI experiences.
  • Own build vs. buy decisions using vendors like OpenAI, Whisper, AssemblyAI, LangChain, etc.
  • Work hands-on with LLMs, embeddings, RAG pipelines, vector databases, and prompt tuning.
  • Design with explainability, fallback logic, and hallucination control as defaults.
  • Define and monitor success metrics (e.g. adoption, efficiency gains, time saved); iterate quickly based on feedback.
  • Ensure full alignment with regulatory body, and internal compliance when deploying GenAI systems in critical workflows.
  • Maintain cyber security standards part of product development ie products should be built with security in mind and not as afterthought.
  • Build GTM strategies

Requirements

  • 4+ years of product management experience, with 1+ year in GenAI/ML/NLP-focused roles
  • Fintech background-preferably in lending, collections, KYC, or regulatory operations
  • Strong grasp of GenAI architecture-prompt engineering, retrieval-augmented generation (RAG), embedding models
  • Technical education background (CS, Engineering, Data Science, or Applied Math)
  • Worked directly with data scientists, backend engineers, and legal/compliance teams
  • Analytical mindset-comfortable defining product KPIs and tracking outcomes
  • Excellent communication and stakeholder management skills
(ref:hirist.tech)

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