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.
- Transparent adoption metrics and a prioritized cross-agent roadmap.
- Approval-gate and exception design accepted by governance
📌 Cyient - AI Product Manager (India)
🏢 Cyient
📍 India
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