Google is seeking a Product Manager for Retrieval-Augmented Generation (RAG) and embeddings. This role guides products from concept to launch by connecting technical and business perspectives and works closely with engineers, researchers, designers, and marketers to develop technologies that improve access to the world's information. The RAG-focused product manager collaborates with the Context and Understanding organization to ensure Google’s AI-powered experiences leverage RAG setups to optimize cost, quality, and latency. The Core team builds the technical foundation behind Google’s flagship products, and this role involves working with stakeholders across DeepMind, Research, and Core to advance next-generation RAG technologies and embeddings capabilities across storage and serving systems. Responsibilities include partnering with research teams across DeepMind, Research, and Core to advance next-generation RAG technologies and make them available across the company; partnering with clients to unlock new business opportunities by resolving bottlenecks in Google’s RAG technologies; driving the horizontal product outlook and road map to ensure smooth journeys across multiple products in the AI Foundations portfolio; conducting client and external research to surface top client pain points and emerging opportunities; and defining and tracking success metrics for user value and developer velocity. This is an on-site role based in San Francisco, California, United States. US-based compensation ranges from $163,000 to $236,000 plus a 15% bonus target, equity, and benefits.

Google is seeking a Product Manager for Retrieval-Augmented Generation (RAG) and embeddings. This role guides products from concept to launch by connecting technical and business perspectives and works closely with engineers, researchers, designers, and marketers to develop technologies that improve access to the world's information. The RAG-focused product manager collaborates with the Context and Understanding organization to ensure Google’s AI-powered experiences leverage RAG setups to optimize cost, quality, and latency. The Core team builds the technical foundation behind Google’s flagship products, and this role involves working with stakeholders across DeepMind, Research, and Core to advance next-generation RAG technologies and embeddings capabilities across storage and serving systems. Responsibilities include partnering with research teams across DeepMind, Research, and Core to advance next-generation RAG technologies and make them available across the company; partnering with clients to unlock new business opportunities by resolving bottlenecks in Google’s RAG technologies; driving the horizontal product outlook and road map to ensure smooth journeys across multiple products in the AI Foundations portfolio; conducting client and external research to surface top client pain points and emerging opportunities; and defining and tracking success metrics for user value and developer velocity. This is an on-site role based in San Francisco, California, United States. US-based compensation ranges from $163,000 to $236,000 plus a 15% bonus target, equity, and benefits.