Product Manager

SourcingXPress; Dadri; On-site; INR 1,000,000 - 2,000,000; Full time

Job summary

Zyoin is hiring on behalf of a fast-growing AI SaaS company that builds and deploys enterprise-grade Voice AI Agents for some of the world’s largest consumer enterprises.

As an AI Agent Product Manager, you will lead the implementation of mission-critical Voice AI solutions, work with VP and C-level executives to shape their AI roadmap, write and test prompt logic, and collaborate with engineering to design new features.

Qualifications

• 2–5 years of relevant AI implementation or product management experience.
• Strong technical understanding of AI agent design and prompt writing.
• Excellent communication and executive stakeholder skills.
• Ability to work in fast-moving, ambiguous environments.
• Preferred background in CS or engineering.

Responsibilities

• Lead deployment of Voice AI Agents for enterprise customers.
• Design and optimize enterprise-grade agents and prompt logic with engineering.
• Engage with customers to gather needs and tailor agents.
• Guide AI roadmap with VP/C-level executives and drive impact on revenue and customer experience.
• Own end-to-end portfolio of deployments and drive adoption.
• Channel customer insights into product and roadmap.

Skills

AI implementation

Product management

Strategy consulting

Solutions engineering

Prompt writing

Education

Background in Computer Science/Engineering

Job description

Company: Zyoin

Website: Visit Website

Business Type: Enterprise

Company Type: Product

Business Model: B2B

Funding Stage: Series B

Industry: SaaS AI

Salary Range: ₹ 10-20 Lacs PA

Job Description

Zyoin is hiring on behalf of a fast-growing AI SaaS company that builds and deploys enterprise-grade Voice AI Agents for some of the world’s largest consumer enterprises.

Role Overview

As an AI Agent Product Manager, you will lead the implementation of mission-critical Voice AI solutions used by millions of customers globally. 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 Responsibilities

• Lead the deployment of 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.

Required Qualification & Skills

• 2–5 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.