Google
Senior Product Manager, Machine Learning Frameworks
Google, Mountain View, California, us, 94039
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
8 years of experience in product management or related technical role.
3 years of experience developing or launching products or technologies within Artificial Intelligence or Machine Learning (AI or ML).
Preferred qualifications:
Master's degree in a technology or business related field.
5 years of experience in full life-cycle product management and delivery.
3 years of experience in engineering.
3 years of experience with AI/ML models or tooling development (Product Management or Engineering).
About the jobAt 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.
One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.
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.
As a Product Manager in CoreML within ML Frameworks, you will lead teams developing ML Frameworks and tooling that enable developers to rapidly take advantage of models and innovation happening across AI ecosystems. In this role, you will focus on ensuring that internal ML developers have seamless access to innovation happening anywhere in the external ecosystem. You will work with internal Product Analysts (PAs) and also the external Open-Source Software (OSS) community.
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.
Responsibilities
Understand the workflows and tooling ecosystem of internal and external ML Developers.
Engage with Google product areas and research to understand their needs for engaging with external innovation.
Drive strategy and roadmap development for machine learning stack tooling.
Provide leadership on ML ecosystem strategy.
Lead teams through defining, identifying, collecting, and tracking product or business metrics.
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Bachelor's degree or equivalent practical experience.
8 years of experience in product management or related technical role.
3 years of experience developing or launching products or technologies within Artificial Intelligence or Machine Learning (AI or ML).
Preferred qualifications:
Master's degree in a technology or business related field.
5 years of experience in full life-cycle product management and delivery.
3 years of experience in engineering.
3 years of experience with AI/ML models or tooling development (Product Management or Engineering).
About the jobAt 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.
One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.
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.
As a Product Manager in CoreML within ML Frameworks, you will lead teams developing ML Frameworks and tooling that enable developers to rapidly take advantage of models and innovation happening across AI ecosystems. In this role, you will focus on ensuring that internal ML developers have seamless access to innovation happening anywhere in the external ecosystem. You will work with internal Product Analysts (PAs) and also the external Open-Source Software (OSS) community.
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.
Responsibilities
Understand the workflows and tooling ecosystem of internal and external ML Developers.
Engage with Google product areas and research to understand their needs for engaging with external innovation.
Drive strategy and roadmap development for machine learning stack tooling.
Provide leadership on ML ecosystem strategy.
Lead teams through defining, identifying, collecting, and tracking product or business metrics.
#J-18808-Ljbffr