Senior Product Manager

Google Chrome Microsoft Edge Apple Safari Mozilla Firefox Senior Product Manager Full-timeTime Type: Full TimeDepartment: Product ManagementLocation: India - Pune - Adjunct 0fficeCompany DescriptionQAD is a leading provider of ERP solutions purpose-built for manufacturing industries — automotive, life sciences, food & beverage, high tech, and industrial. Serving thousands of global manufacturers, QAD's Adaptive Manufacturing Cloud helps companies operate with greater precision, agility, and intelligence.QAD's AI Platform is the domain intelligence layer that sits between the ERP and autonomous AI agents. It encodes what manufacturing data means, governs what agents are permitted to do, and makes every autonomous decision traceable and accountable — transforming QAD from a system of record into a system of action.Job DescriptionThis role owns the full product lifecycle for QAD's Copilot, Search, and Conversational Analytics capabilities — from architecture through to market launch. You will define what gets built, why it matters to manufacturing users, and how it reaches them: shaping the product vision, driving engineering delivery, and partnering with GTM to ensure adoption.The intelligence that powers these surfaces — how queries are understood, how manufacturing context is assembled, how data is retrieved, and how responses are generated — is where QAD's AI moat is built. You will need to engage deeply with these layers, not as an engineer but as the product owner who defines the contracts, quality standards, and sequencing decisions that determine whether they work in production at enterprise scale.You will report to the Head of Platform Product, with day-to-day direction from the Director of the AI Platform org. This role is evaluated through the quality of your product thinking, your influence on engineering direction, and the outcomes you drive in the market. The OpportunityManufacturing users today cannot query their own operations without analysts, BI tools, or pre-built reports. QAD's AI platform changes this — but only if the Copilot and Search layer is built correctly and lands with users. You will own both sides of that equation.Define the semantic search and conversational analytics product that allows manufacturing users to query operational data — orders, inventory, suppliers, quality records — in natural language, without SQL or BI expertiseOwn the intelligence contract: how queries are understood, how manufacturing context is assembled, how retrieval is orchestrated, and how responses are grounded in governed data — the foundational decisions that determine product quality at scaleDrive the Copilot from concept to customer — including the contextual layer architecture, the grounding contract against the platform's Semantic Layer, and the GTM motion that gets it adopted in manufacturing workflowsBuild the feedback loops that make the product smarter over time: how recurring query patterns surface ontology gaps, how session analytics drive prioritisation, and how discovery findings translate into product improvementsEstablish QAD's conversational analytics presence in market — working with GTM to define positioning, enablement, and the narrative that differentiates QAD's intelligence layer from horizontal AI tools Key ResponsibilitiesCopilot & Conversational AnalyticsOwn the product definition for QAD's Copilot: how queries are understood, context assembled, data retrieved, and responses generated — specifying the contracts that engineering builds againstDefine the grounding contract: the rules that ensure every Copilot response cites governed manufacturing data, not hallucinated inference — including confidence signalling and graceful fallback behaviourDrive the conversational analytics strategy: how natural language queries translate into analytical results across manufacturing data domains without exposing SQL or BI complexity to the userSpecify the disambiguation model: how the Copilot...