Engineering Manager, Gemini Code Assist

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 lead a team in developing GenAI-based development tools to improve developer productivity. You will develop server code as well as middleware code which implement functionalities that interact with Google's latest LLMs. You will work closely with researchers, engineers, and product managers from both Google Cloud AI and Google Research, developing challenging machine learning solutions that will contribute directly to Google's product excellence.

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

• Manage project priorities, deadlines, and deliverables.

• Help grow our presence in Warsaw, and grow and sustain a healthy and collaborative culture for the new team.

• Lead a team to design, develop, test, deploy, maintain, and enhance software solutions.

• Participate in design reviews with peers and stakeholders to decide amongst available technologies.

• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.