Senior Software Engineering Manager, Agentic and UI Automation Experiences

Google LLC; Mountain View (CA); On-site; USD 262,000 - 364,000; Full time

Job summary

Google LLC is hiring a Senior Software Engineering Manager for Agentic and UI Automation Experiences in Mountain View, CA. You will lead engineering teams, set project goals, contribute to product strategy, and oversee large-scale deployments across multiple sites globally.

The role emphasizes transforming Android into AI-powered experiences, leveraging LLMs and advanced ML to build agents that interpret screen content and execute actions via APIs.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience programming in C++, Java, Python, Kotlin or Go.
• 5 years of experience in a technical leadership role.
• 5 years of experience in a people management or team leadership role.
• Experience with machine learning, large language models, Python, and machine learning optimization.

Responsibilities

• Provide technical leadership across major projects and manage a team of engineers.
• Set project goals, contribute to product strategy, and help develop your team.
• Oversee deployment of large-scale projects across multiple sites internationally.

Skills

C++

Java

Python

Kotlin

Go

Leadership

People management

ML

LLMs

NLP

Computer vision

Education

Bachelor’s degree or equivalent

Master’s degree or PhD in ML

Tools

Android framework

Job description

Senior Software Engineering Manager, Agentic and UI Automation Experiences

Share Senior Software Engineering Manager, Agentic and UI Automation Experiences

corporate_fare Google place Mountain View, CA, USA

X In most instances, this position requires in-person interviews as part of the hiring process.

• Bachelor’s degree, or equivalent practical experience.
• 8 years of experience programming in C++, Java, Python, Kotlin or Go.
• 5 years of experience in a technical leadership role.
• 5 years of experience in a people management or team leadership role.
• Experience with machine learning, large language models, Python, and machine learning optimization.

Preferred qualifications:

• Master's degree or PhD in machine learning, or 5 years of industry experience in applied machine learning/machine learning research.
• Expertise in NLP, LLM, computer vision.
• Knowledge of android framework.
• Strong programming skills in Python, C++.
• Passionate and respectful team player, and ability to grow the team, with leadership and collaboration skills, as well as excellent problem-solving and analytical skills.

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.

Our team is transforming Android into the premier AI-powered operating system by integrating agentic capabilities. Leveraging Large Language Models (LLMs) and advanced machine learning, we redefine mobile interactions through agents that fulfill complex user requests via UI automation, tool calling, and hybrid architectures.

In this role, you will manage cutting‑edge technical challenges, including building and deploying sophisticated LLM solutions, developing agents that interpret screen content, understand user behavior, and execute actions through APIs, enhancing model efficiency and latency for mobile hardware, and partnering with GDM on pre‑training and post‑training Gemma models specifically for computer use and tool calling.

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first‑party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user’s interaction with computing faster and more seamless, building innovative experiences for our users around the world.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

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.

Our team is transforming Android into the premier AI‑powered operating system by integrating agentic capabilities. Leveraging Large Language Models (LLMs) and advanced machine learning, we redefine mobile interactions through agents that fulfill complex user requests via UI automation, tool calling, and hybrid architectures.

In this role, you will manage cutting‑edge technical challenges, including building and deploying sophisticated LLM solutions, developing agents that interpret screen content, understand user behavior, and execute actions through APIs, enhancing model efficiency and latency for mobile hardware, and partnering with GDM on pre‑training and post‑training Gemma models specifically for computer use and tool calling.

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first‑party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user’s interaction with computing faster and more seamless, building innovative experiences for our users around the world.

Individual pay is determined by factors including job‑related skills, experience, and relevant education or training.

US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google .

Perform advanced ML modeling with large language models (LLMs).

• Develop AI agents that effectively understands user behavior, screen content and use tools/APIs.
• Work closely with the GDM, Gemma Frontier, Gemini app, and Android framework teams.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.