Product Manager – Voice Agentic AI

L&T Finance

Navi Mumbai

On-site

INR 1,500,000 - 2,500,000

Full time

14 days+
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Job summary

L&T Finance is seeking a Product Manager for Voice Agentic AI to scale AI-powered journeys from POC to Production. Own end-to-end product ownership across onboarding, servicing, collections, and engagement while ensuring RBI compliance.

The role involves designing voice-based journeys, integrating with core systems, and collaborating with business and tech teams to deliver high-quality features in a regulated BFSI environment.

Qualifications

  • 5-10 years of experience with strong communication and interpersonal skills to manage the broader team.
  • Requirement gathering tools: JIRA, Confluence, MS Visio, Lucidchart.
  • Data analysis with SQL/Excel/BI tools (Power BI / Tableau).
  • Understanding of APIs, data flows, and system integrations.
  • Agile/Scrum methodology experience.

Responsibilities

  • Design and deliver voice-based agentic AI journeys using GenAI and LLMs for collections and onboarding.
  • Own Voice AI design in in-app journeys across mobile, WhatsApp, chatbots, and payments.
  • Translate business requirements into BRDs, FSDs, and Jira user stories.
  • Lead feasibility discussions, demos, and approach decisions with stakeholders.
  • Support audits, risk, and compliance through clear regulatory documentation.
  • Drive API-led integrations with lending systems, CRM, KYC, payment gateways, and messaging platforms.

Skills

5-10 years experience
Communication
Interpersonal skills
Broader team management
SQL
Excel
Power BI
Tableau
APIs
Data integrations
Agile/Scrum

Education

Btech/MBA
CA with BFSI experience
IIBA CBAP (trained/certified)

Tools

JIRA
Confluence
MS Visio
Lucidchart

Job description

As a Product Manager – Voice Agentic AI, you will play a pivotal role in scaling AI-powered conversational solutions from taking POC’s to Productions. You will bridge business, technology, and compliance, driving end-to-end product ownership of voice-based agentic AI journeys across onboarding, servicing, collections, and customer engagement while ensuring adherence to RBI and regulatory guidelines.

Key Responsibilities :

  • Design and deliver voice-based agentic AI journeys using GenAI, and LLMs for collection,Settlement, Crossell and other financial services use cases.
  • Own Voice AI Design in In-App like Digital Journey and its various applications across mobile, WhatsApp, chatbots,Payments etc
  • Discussing with LOB’s business team to understand their use case and translate requirements into BRDs, FSDs, and JIRA user stories.
  • Leading discussion with business leadership Team,Technological Team and Finalising the feasibility of solutions and demoing the same and concluding the Approach.
  • Onboarding partners , doing documentation and closing Infosec Process.
  • Leading Commercial discussion with the finance Team and Business Team.
  • Support audit, risk, and compliance teams through clear documentation and regulatory traceability for BOT Scripts and its Launching procedure.
  • Leading BOT development,Configuration with Development team,Integration Team with IT Systems
  • Drive API-led integrations with core lending systems, CRM, KYC vendors, payment gateways, ,third-party platforms,SMS ,WhatsApp and HRM System etc
  • Track delivery through Agile ceremonies, sprint reviews,Jira and governance forums.
  • Work closely with IT, data, operations, vendors, and business teams to ensure timely and high-quality delivery of features.
  • Participate in UAT planning, test scenario creation, functional testing, and defect resolution.
  • Good Statistical skills to define metrics and KPIs to measure adoption, effectiveness and continuous improvement and present the same to the leadership team
  • Prior experience in the BFSI sector - especially with Indian Banks and NBFCs - will be a significant advantage.
  • Strong aptitude for learning, with creative thinking to address complex real-world business challenges.

Key Qualifications:

  • Having experience of 5-10 years with good Communication and interpersonal skill to manage the Broder team
  • Requirement gathering tools: JIRA, Confluence, MS Visio, Lucidchart
  • Data analysis with SQL/Excel/BI tools (Power BI / Tableau)
  • Understanding of APIs, data flows, and system integrations
  • Agile/Scrum methodology experience

Educations:

  • Preferable an Btech/MBA from a recognized institute
  • (Specialization in Finance, Operations, Strategy, Analytics, or Technology preferred)
  • CA , MS with BFSI Experience.
  • IIBA CBAP (trained or certified) has added advantages .

Why should you work with us?

At LTF, our footprint spans both rural and urban India, serving customers from remote villages

to bustling cities. Here, you’ll solve real-world problems that impact millions-helping empower

rural communities while shaping the financial future of Gen Z. We are truly building an AI Scaling program that will work in Production for Voice,Agentic ,Workflow orchestration to solve many Banking and NBFC problems using Modern Technology.

Join the AI-Driven Transformation Be part of a technology transformation powered by advanced machine learning and AI. You will leverage Many AI Platforms,Toolings LLM,SLMS,RAG from GCP AI and Agentic System,Azure AI Foundry, Many open source like Hugging Face etc. and also modern machine learning tools including Predictive and Prescriptive Modeling, Time Series Modeling, Transformers and Computer Vision - to drive innovation across credit underwriting, portfolio monitoring, financial fraud detection,marketing models, collection and settlement models.Recognition and Leadership Artificial Intelligence is redefining the financial landscape - driving smarter decisions, deeper insights, and inclusive growth. At LTF, we’re at the forefront of this change. Through our flagship RAISE (2024, 2025 editions) initiative, we celebrate AI’s transformative role in financial services alongside industry peers. We’re proud to be recognized as a Great Place to Work, where innovation, impact, and purpose come together.

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