M3 Product Manager - Conversational AI & Service

Department Icon Product Management
Posted: 6 days ago
6-10 years
Mumbai
Product Management
work from office
Full Time
Closes 7 Dec 2026

Posted: 6 days ago
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Job Description
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Job Description

Hiring for M3 Product Manager

  • 4-7 years of experience in Product Management, Customer Experience or Digital Servicing.
  • Experience working with customer journeys, chatbot platforms, service processes or customer support technologies.

Key Responsibilities:

Customer Insight & Problem Discovery:

  • Understand customer pain points through analysis of customer contacts, support tickets, complaints, chatbot interactions, VOC feedback, NPS responses, customer interviews and business stakeholder inputs.
  • Identify key drivers of customer interactions and opportunities for automation.
  • Conduct root cause analysis to uncover journey gaps and servicing inefficiencies.
  • Develop a deep understanding of customer behaviors, needs and expectations across trading and investment journeys.
  • Translate customer problems into scalable product and servicing solutions.

Customer Journey Design & Optimization:

  • Design and optimize end-to-end customer journeys across servicing, onboarding, trading support, funds, portfolio management and account maintenance.
  • Create intuitive conversational journeys that improve resolution rates and customer satisfaction.
  • Reduce customer effort by simplifying complex servicing processes.
  • Drive digital-first experiences that shift customers from assisted channels to self-service.
  • Continuously improve journeys based on customer feedback, behavioral analytics and operational insights.

Chatbot & Conversational AI Product Management:

  • Own the chatbot roadmap and product strategy.
  • Define and prioritize enhancements based on customer needs, business goals and operational impact.
  • Build AI-led servicing use cases leveraging Conversational AI, GenAI and workflow automation.
  • Improve intent recognition, conversational accuracy and automation effectiveness.
  • Manage chatbot knowledge base, FAQs, guided flows and API-driven use cases.
  • Evaluate and implement emerging AI capabilities to enhance customer servicing.

Contact Center & Agent Productivity Solutions:

  • Partner closely with Contact Center and Operations teams to improve customer issue resolution.
  • Design and enhance agent dashboards, operational workbenches and monitoring tools.
  • Create customer prioritization mechanisms, service buckets and case categorization frameworks.
  • Develop alerts and proactive intervention workflows for high-risk customer situations.
  • Improve agent visibility into customer journeys, interaction history and open issues.
  • Design solutions that improve First Contact Resolution (FCR), SLA adherence and customer satisfaction.
  • Support operational teams in identifying and resolving service bottlenecks through technology and analytics.

Product Delivery & Execution:

  • Translate business requirements into detailed product requirements, user stories and acceptance criteria.
  • Work closely with Engineering, Salesforce, Middleware, Data and Vendor teams to deliver solutions.
  • Manage sprint planning, UAT, production releases and rollout activities.
  • Ensure timely and high-quality delivery of product enhancements.
  • Drive stakeholder alignment across CX, Operations, Technology and Business teams.

Analytics & Performance Management:

  • Define and monitor key performance metrics across chatbot and servicing journeys.
  • Analyze customer, operational and digital engagement data to identify improvement opportunities.
  • Build business cases and quantify impact of proposed initiatives.
  • Present insights, recommendations and performance updates to senior management.

Skills

IT Product ManagementArtificial IntelligenceProduct ManagementProduct StrategyEngagementPrioritizationRoot Cause AnalysisUatUser StoriesProduct Manager

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