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 problemsDomain fluency across batch record review automation, GenAI for SOP interpretation, deviation summarization, predictive maintenance, and QA document generationExperience working with plant ops, QA, and regulatory teams to define AI use cases with measurable impact on cycle time, compliance readiness, and process efficiencySkilled at managing constraints around GxP, traceability, auditability, and secure deployment of AI productsProven delivery of AI solutions in validated or regulated manufacturing environmentsTechnical
8+ years of experience in AI & Analytics for manufacturing & quality functionsDeep knowledge of LLMs, embeddings, vector stores, and RAG architecturesHands-on with LangChain, Pinecone, OpenAI, Azure AI, Vertex AI or similarProficient in evaluating model metrics like top-k accuracy, latency, precision, recallComfortable reviewing code, writing specs, and using Git, Postman, Jupyter