Experience with coaching and supporting engineers and engineering managers.

Experience with ideation and innovating at scale.

Ability to collaborate with other people, teams, function across the world and communicate cross-functionally.

About the job

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

In this role, you will develop cutting-edge Artificial Intelligence (AI) models that personalize learning experiences and provide learners with the information they need, when they need it. You will collaborate across Google to enhance learning on different products, especially in Science, Technology, Engineering, and Math (STEM) education. Learners will search for a math concept and instantly receiving tailored explanations, or use Google Lens to identify a machine and access interactive simulations. By combining AI expertise with educational understanding, you will make learning more accessible, engaging, and effective for everyone.

Responsibilities

• Lead Engineering teams, build Artificial Intelligence(AI) driven capabilities and features for learning products.
  
• Guidethe development of AI capabilities and features, manage data training systems, and oversee infrastructure for efficient AI model training.
  
• Define technical goal, strategy, and roadmap.
  
• Collaborate with stakeholders to drive project delivery.
  
• Build and manage a high-performing Engineering team.