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AI Product Manager – Manufacturing and Quality
4 weeks ago
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