Experience managing a team owning problems and developing technical leads.

Experience working on Machine Learning, Generative-AI, and Information Retrieval problems.

Experience working across the stack (e.g., front-end, serving back-ends, data pipelines, etc.).

About the job

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.

In Google Search, we're reimagining what it means to search for information - any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

Responsibilities

• Manage a team of SWEs and offer clarity with planning, design, execution, mentor/guide the team-members with feedback and help them grow in their career.
  
• Take responsibility for engineering and organizational problems that span multiple teams/components and systematically lead the team to solve them.
• Collaborate across multiple teams and functions, driving alignment, prioritization, execution, decisions.
• Utilize knowledge of areas like LLMs, Information Retrieval, Search Infrastructure, Search Features.