AI Agent Product Manager

Description :

About Our Client : Our client is a tech-enabled outsourcing platform that integrates AI with human expertise to deliver exceptional customer experiences. Their servicesranging from telecalling to sales and supportleverage automation and trained professionals to drive efficiency, reduce costs, and scale business growth across industries.

Role : AI Agent Product Manager

Location : Sec 3, Noida

Qualification : Bachelor in Engineering or relevant degree

About the role : As an AI Agent Product Manager at Company, youll own each stage of the AI Agent building and deployment process for the largest consumer enterprises.

Youll work directly with VP and C-level executives to shape their AI roadmap, write and test prompt logic for high-impact use cases, and collaborate with engineering to design new product features.

This is a role for someone who thrives on diving deep into complex business problems, crafting elegant AI-driven solutions, and scaling them to millions of users.

Responsibilities :

• Lead the deployment of Companys Voice AI Agents for some of the largest consumer enterprises globally, ensuring AI agents become mission-critical to how millions of customers are engaged.
• Design and optimize enterprise-grade agents by mapping business workflows, writing and testing prompt logic, and collaborating with engineering to deliver precise, scalable solutions that handle thousands of conversations daily.
• Engage deeply with customers, from discovering requirements and demonstrating solutions, to addressing technical challenges, and tailoring agents to their business processes.
• Act as a trusted partner to VP and C-level executives, guiding their AI roadmap, aligning deployments with strategic goals, and ensuring measurable impact on revenue, efficiency, and customer experience.
• Own a portfolio of enterprise deployments end-to-end, driving adoption, expansion, and long-term success by partnering closely with internal teams and customer stakeholders.
• Run high-velocity feedback loops into Product and Engineering, channeling real-world insights to shape the roadmap, resolve friction, and accelerate adoption at scale.

Requirements :

(ref : hirist.tech)