AI Product Manager – Manufacturing and Quality

Job Summary

We 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 capabilities

Skills Required

Functional

• 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 environments

Technical

• 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