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Director, Product Management, ML Frameworks and GenAI Ecosystems



22d ago

  • Job
    Expert Level
  • Product
  • £253K - £363K
  • Mountain View

AI generated summary

  • 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.


  • 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


  • 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.


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

The main focus of this role is to establish Google's strategy for new and existing ML frameworks, drive community engagement for developer tools, and lead the development of tools and frameworks to incorporate generative AI capabilities into production.

What are some of the key responsibilities of this role?

Key responsibilities include staying informed on industry developments, collaborating with research and product partners, understanding user requirements and feedback, developing strategic roadmaps, and identifying valuable product features for ML frameworks and generative AI ecosystems.

How does this role contribute to Google Cloud's mission and goals?

This role plays a crucial part in advancing Google Cloud's ability to deliver enterprise-grade solutions and cutting-edge technology to enable digital transformation for organizations worldwide.

What skills and experience are required for this role?

Candidates should have deep expertise in ML frameworks and generative AI, strong product management skills, a customer-centric mindset, the ability to collaborate with cross-functional teams, and a track record of driving product innovation and adoption.

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Mission & Purpose

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.