AI Agent Product Manager

SquadStack.ai·Delhi NCR·Onsite

Product ManagerHealthcareLogistics

Experience

3–5 years

Employment

Full Time

Work mode

Onsite

Level

Product Manager

Location

Delhi NCR

Posted

6 days ago

About the role

About this role

As an AI Agent Product Manager at SquadStack.ai you’ll own each stage of the AI Agent building and deployment process for the largest consumer enterprises.

You’ll 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.

Key

What you'll do

Own enterprise Voice AI Agents end-to-end, taking them from concept to production and driving continuous optimization.
Understand customer workflows and translate them into effective conversational journeys, business rules, and AI-agent configurations.
Write, test, and refine prompts to deliver accurate, natural, contextual, and brand-aligned conversations.
Analyse test and live calls to identify issues, handle edge cases, and continuously improve agent performance.
Collaborate with customers, Product, Engineering, AI, and Operations teams to resolve challenges and deliver scalable solutions.
Track business and operational metrics, communicate performance insights, and convert customer feedback into product improvements.

What you'll bring

3–5 years of relevant experience in AI Implementation, Product Management, Strategy Consulting, or Solutions Engineering ideally in AI-native companies or adjacent domains.
Strong technical acumen with the ability to understand and shape AI agent design & prompt writing
Excellent communication and relationship-building skills, comfortable engaging with executive stakeholders.
Ability to thrive in fast-moving, ambiguous environments where you help shape solutions as much as you deliver them.
(Preferred) Background in Computer Science, Engineering, or equivalent technical experience.
Logistics