Minimum qualifications:

• Bachelor’s degree, or equivalent practical experience.
  
• 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
  
• 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
  
• Experience in machine learning, building /training AI models, back-end data infrastructure or data engineering.
• Experience with ideation and innovation at scale.
• Experience running software engineering teams and delivering multi-quarter projects.
• Ability to collaborate with other people, teams and functions globally, communicate cross-functionally.
• Passion for coaching and supporting engineers and engineering managers.

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.

• Lead engineering teams building AI driven capabilities and features for learning products.
• Lead the development of AI capabilities and features, manage data training systems, and oversee infrastructure for efficient AI model training.
• Build AI driven capabilities and features for Search and Lens.
• Build and manage infrastructure for AI training and evaluation.
• Define technical direction, strategy, and road map and collaborate with stakeholders to drive project delivery.