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The Vertex AI Platform Model Development team delivers the leading platform for the full AI lifecycle, supporting Google, open source (like Llama 4), and third-party models (like Anthropic's Claude). Our AI Development team focuses on notebooks, training, tuning, evaluation, explainable AI, and pipelines. The AI Production team manages prediction, third-party model services, provisioned throughput, and Model Garden. We also manage global chip capacity for all Vertex and third-party model services. As a Product Manager, you will lead the development of our AI development tools (notebooks, training, tuning, evaluation, etc.) for Google Cloud AI. Leading a team of product managers, you'll support internal teams and global external customers across all industries. You'll drive the product roadmap and commercial success of these products. You'll also be a key spokesperson for Vertex AI's development tools internally and externally, engaging with Cloud leadership, leading customers, and industry analysts. Furthermore, you'll collaborate with infrastructure teams and internal product teams leveraging Vertex's tools. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud's Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.