AI Product Manager - Manufacturing and Quality

Job SummaryWe are hiring a Technical AI Product Manager to lead development of AI and GenAI products focused on Manufacturing and Quality . You will work across product, ML, and engineering teams to build scalable, production-grade AI systems that improve operational efficiency, compliance, and product quality. This role requires deep technical fluency, structured product thinking, and end-to-end execution ownership.Roles and Responsibilities- Own product lifecycle from problem framing to deployment and iteration- Define clear specs with data science and engineering for ML and GenAI solutions- Lead development of RAG pipelines, prompt orchestration, fine-tuning, and evaluation workflows- Balance model performance, latency, cost, scalability, and compliance constraints- Design API-first, modular, secure product architectures- Monitor product KPIs and drive iterative improvements- Prioritize across exploratory and scalable use cases- Stay current with AI / LLM tech and translate into product capabilitiesSkills RequiredFunctional- Strong ownership with ability to structure ambiguous technical problems- Domain fluency across batch record review automation, GenAI for SOP interpretation, deviation summarization, predictive maintenance, and QA document generation- Experience working with plant ops, QA, and regulatory teams to define AI use cases with measurable impact on cycle time, compliance readiness, and process efficiency- Skilled at managing constraints around GxP, traceability, auditability, and secure deployment of AI products- Proven delivery of AI solutions in validated or regulated manufacturing environmentsTechnical- 8+ years of experience in AI & Analytics for manufacturing & quality functions- Deep knowledge of LLMs, embeddings, vector stores, and RAG architectures- Hands-on with LangChain, Pinecone, OpenAI, Azure AI, Vertex AI or similar- Proficient in evaluating model metrics like top-k accuracy, latency, precision, recall- Comfortable reviewing code, writing specs, and using Git, Postman, Jupyter