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.

AI and Research Accelerator (AIRX) and On-Device Intelligence (ODI) are two parts of the AI Innovation and Research (AIR) organization - the catalyst for AI innovation in Platforms and Devices.

AIRX's mission is to develop and launch AI experiences across priority Platforms and Devices initiatives. AIRX partners closely with Platforms and Devices product teams, guiding them through every step of AI integration – from ideation to deployment.

AIR On-Device Intelligence's mission is to research, build, and ship technology to enable OS-level Agentic Experiences with an emphasis on on-device, and enable the next gen Gemini-based user interaction.

• Recruit, onboard, and manage a high-performing team of AI/ML software engineers, fostering a culture of collaboration and continuous learning.
• Provide deep technical guidance and expertise in machine learning and AI development, staying abreast of the latest advancements in the field.
• Drive an engineering culture in the team, with a relentless focus on innovation, technical aptitude, and the delivery of AI solutions that align with AIR’s goals.
• Oversee the development, training, evaluation, and deployment of models in production environments.
• Work closely with the Mountain View-based Engagements team, fostering trust and collaboration, to maximize project efficiency and impact.