AI Product Manager

Cyient; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Cyient in Bengaluru seeks an AI Product Manager to treat each agent (RFQ, Planning, Supply Chain, Program Manager, Scheduler, Executive Copilot) as a product with a defined user, value hypothesis, backlog and KPI. The role bridges business users and the engineering/data teams to ship, measure and continuously improve agent capabilities.

You will drive adoption, track ROI and manage governance for agent-‑level success metrics, ensuring alignment with enterprise workflows and measurable business

Qualifications

• 10+ years in product management, ideally with data/AI or enterprise-workflow products.
• Strong grasp of manufacturing / supply-chain processes (RFQ, MRP, S&OP).
• Ability to define crisp KPIs and run evidence-based iteration.
• Excellent stakeholder management across business and technical teams.

Responsibilities

• Define agent product vision, user journeys and success metrics.
• Own the agent backlog; prioritize features by business value and feasibility.
• Partner with Sales, Bid, Supply Chain and Operations to validate value in the flow of work.
• Design human-in-the-loop approval gates and exception-handling behavior.
• Track adoption, accuracy and ROI; drive iteration cycles.

Skills

Product management

AI / data products

Stakeholder management

Manufacturing / supply chain

Backlog prioritization

Job description

Industry: Electronics Manufacturing Services

Mandate: Own AI agents as products with measurable business KPIs

Position Summary:

The AI Product Manager treats each agent — RFQ, Planning, Supply Chain, Program Manager, Scheduler, Executive Copilot — as a product with a defined user, value hypothesis, backlog and KPI. The role bridges business users and the engineering/data teams to ship, measure and continuously improve agent capabilities.

Key Responsibilities

• Define agent product vision, user journeys and success metrics.
• Own the agent backlog; prioritize features by business value and feasibility.
• Partner with Sales, Bid, Supply Chain and Operations to validate value in the flow of work.
• Design human-in-the-loop approval gates and exception-handling behavior.
• Track adoption, accuracy and ROI; drive iteration cycles.

Ideal Profile

• 10+ years in product management, ideally with data/AI or enterprise-workflow products.
• Strong grasp of manufacturing / supply-chain processes (RFQ, MRP, S&OP).
• Ability to define crisp KPIs and run evidence-based iteration.
• Excellent stakeholder management across business and technical teams.

Success in 12 Months

• Two agents in production with documented KPI improvement.
• Clear adoption metrics and a prioritized cross-agent roadmap.
• Approval-gate and exception design accepted by governance.