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.

A conversational AI tool that enables users to collaborate with generative AI and help augment their imagination, expand their curiosity, and enhance their productivity.

Responsibilities

• Lead two main teams of engineers of as a Technical Lead and Manager for cross-functional roadmap. Work cross-functionally to develop a technical roadmap of Gemini based agentic capabilities.

• Bring together the AI Agents for the Google Home App and Google Home Speakers and Displays.

• Own Design, Implementation, and Improvements for the combined Home AI reasoning and planning loop.

• Develop agentic and chatbot experiences. Explore ways to simplify agentic AI development processes across the stack.

• Explore ways to simplify agentic AI development processes across the stack.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.

• 8 years of experience with software development.

• 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

• 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.

• 5 years of experience in a technical leadership role.

• 5 years of experience in a people management or team leadership role.

Preferred qualifications

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.

• 5 years of experience working in a structured organization.