Group Product Manager, Machine Learning Frameworks Applied Ecosystem

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

The team builds the tooling, service, and technical foundations to enable machine learning research and production behind Google's products and AI/ML OSS offerings. In this role, you will lead teams developing ML Frameworks that enable developers to rapidly take advantage of models and innovation happening across internal and external AI ecosystems. You will focus on Keras and will also interact with teams developing JAX, PyTorch, serving technologies, and more. You will work heavily with both internal product areas and also the external OSS community.

Core ML's mission is to drive ML excellence for Google and the world. We ease the development of ML products for Google and all developers. We accelerate ML innovation from Google research and Google product areas to all of Google's products.

Responsibilities include:

• Understand the workflows of internal and external applied ML Developers.
• Engage with Google product areas and the wider community to understand their needs and build platform features to enable use cases.
• Drive strategy and roadmap development for machine learning stack tooling.
• Lead teams through defining, identifying, collecting, and tracking appropriate product or business metrics.
• Communicate with and influence executive leadership and provide thought leadership on ML ecosystem strategy.

This role requires a Bachelor's degree or equivalent practical experience, 10 years of experience in product management or related technical role, 5 years of experience taking technical products from conception to launch, and experience with the domain area of Generative AI or Large Language Models.