Like Google's own ambitions, the work of a Software Engineer goes way 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.

User Generated Content (UGC), like reviews and photos, are a key differentiator for Google Maps and Search, and Google is continuing to innovate and improve the experience to make Maps and Search feature the best way to discover the world around us. Google aims to grow the scale and usefulness of these methods of experience sharing.

The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.

The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.

• Manage a team of Machine Learning (ML) and Infrastructure Software Engineers while demonstrating technical leadership to strategize the team's execution.
  
• Work with feature teams to define and refine product features and strategy leveraging the advancement of ML.
  
• Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  
• Build the team's product strategy and enable the team to maximize the delivered impact with technical expertise.
  
• Create a positive, respectful, and safe working environment.