Minimum qualifications:

• Bachelor's degree or equivalent practical experience
  
• 15 years of product management experience with technical products
  

Preferred qualifications:

• Experience product managing internal Machine Learning (ML) infrastructure, advocating for its use cases and growing its adoption
  

About the job

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 production.

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.

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.

The US base salary range for this full-time position is $253,000-$363,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

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.

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.

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.

Responsibilities

• Understand novel workflows for both creators and consumers of large models, identifying opportunities to create tooling that empower generative-AI powered products.
  
• Partner deeply with Google Deepmind to understand researcher requirements for AI infrastructure, and create organizational processes, infrastructure roadmaps, developer solutions, and GTM strategies that drive rapid acceleration into developer workflows for production.
  
• Engage with internal and external Foundational Model companies and researchers to understand the user requirements and challenges of training state-of-the-art foundational models across TPUs and GPUs.
  
• Engage the open source community and identify opportunities to enrich the ecosystem and establish Google’s industry leadership in developer tooling and frameworks for generative AI.