Google

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in system architecture, software engineering or AI/ML development.
• 1 year of experience in developing large-scale infrastructure and distributed systems.
• Experience in project management, cross-functional collaboration and influencing stakeholders.
• Experience in Generative AI, Large Language Models (LLMs), Machine Learning and related frameworks.

Preferred qualifications:

• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• Experience in working with Machine Learning (ML)/Generative Artificial Intelligence (GenAI) infrastructure.

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.

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

• Drive strategy, features and roadmaps for Docs AI, ensuring high standards of technical excellence and quality, owning end-to-end features including ML modeling, infrastructure, client and front-end.
• Identify key areas for investment and build execution paths to bring them to market, while leading technical decisions and resolving trade-offs within the team.
• Provide coaching and feedback to team members to foster their growth, create strategies for managing performance and cultivate a positive team environment.
• Build relationships with peers across teams (Workspace and Google Deepmind) to develop joint roadmaps, manage dependencies and influence shared objectives.
• Enable senior executives to make informed organizational prioritization decisions by outlining trade-offs and navigating engaging demands for infrastructure work.