You must have a bachelor's degree, 15 years of technical product management experience, and expertise in managing internal ML infrastructure for optimal use and adoption.

You will partner with researchers and companies to develop tools that accelerate the integration of generative AI models, engage with the open source community, and drive innovation in ML frameworks for Google.

Product

United States

Mountain View

Medical, dental, and vision insurance for employees and dependents

Generous 401(k) and regional retirement plans

Paid time off, including vacation, bereavement, jury duty, sick leave, parental leave, disability, holidays, and global reset/wellbeing days

Employee resource groups for underrepresented employees and their allies

Top technology, including internet reimbursement and company-paid mobile phone

Fortune 500

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

Technology

Google

<ul><li>This organization’s mission is to drive the landing of machine learning (ML) powered products and innovation, for all users by making ML easy to use. Our product managers span ML products for data management, experimentation, operations, training, and productionizing. We align our products with new areas of research and product innovation across traditional machine learning models and Large Models (i.e., Large Language Models, Generative AI) for all Product Areas.</li><li>As the lead for ML Frameworks and Generative AI Ecosystems, you will be responsible for establishing and driving Google’s strategy for new and existing frameworks for ML development, including Jax, PyTorch, and Tensorflow. You will be establishing and driving Google’s open source and community engagement for developer frameworks and tools to advance a rich ecosystem of tools and frameworks that enable developers to drive rapid incorporation of the latest research capabilities into production</li><li>The generative AI space is rapidly evolving and many challenges remain on incorporation of generative AI across products to meet latency, cost, quality, reliability and reproducibility requirements of products across traditional, high impact industries. This phase of innovation requires deep customer empathy as well as forward looking insights on where research innovation is headed, and leading customers through these transitions with well supported tools and frameworks for both their emerging and existing workloads.</li><li>You will keep a pulse on industry developments, while deeply embedding alongside both research and product partners to understand the end-to-end user journey across internal and external customers, mapping pain points, distilling user requirements and feedback into long term strategic roadmaps, identifying product features that add value and build trust.</li><li>Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.</li></ul>

This organization’s mission is to drive the landing of machine learning (ML) powered products and innovation, for all users by making ML easy to use. Our product managers span ML products for data management, experimentation, operations, training, and productionizing. We align our products with new areas of research and product innovation across traditional machine learning models and Large Models (i.e., Large Language Models, Generative AI) for all Product Areas.As the lead for ML Frameworks and Generative AI Ecosystems, you will be responsible for establishing and driving Google’s strategy for new and existing frameworks for ML development, including Jax, PyTorch, and Tensorflow. You will be establishing and driving Google’s open source and community engagement for developer frameworks and tools to advance a rich ecosystem of tools and frameworks that enable developers to drive rapid incorporation of the latest research capabilities into productionThe generative AI space is rapidly evolving and many challenges remain on incorporation of generative AI across products to meet latency, cost, quality, reliability and reproducibility requirements of products across traditional, high impact industries. This phase of innovation requires deep customer empathy as well as forward looking insights on where research innovation is headed, and leading customers through these transitions with well supported tools and frameworks for both their emerging and existing workloads.You will keep a pulse on industry developments, while deeply embedding alongside both research and product partners to understand the end-to-end user journey across internal and external customers, mapping pain points, distilling user requirements and feedback into long term strategic roadmaps, identifying product features that add value and build trust.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Director, Product Management, ML Frameworks and GenAI Ecosystems

Requirements

Responsibilities

FAQs

What is the main focus of this role as a Director of Product Management for ML Frameworks and GenAI Ecosystems?

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Google

Mission & Purpose