Software Engineering Manager, Google Ads Safety Foundational Modeling

Minimum qualifications:

• Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
• 8 years of experience with software development.
• 5 years of experience in a people management, supervision/team leadership role.
• Experience in Machine Learning Infrastructure.
• Experience in AI and machine learning, including generative AI and LLMs.

Preferred qualifications:

• Experience building complex software systems involving deep learning and Large Language Models (LLM).
• Experience delivering scalable and high-quality ML solutions.
• Experience delivering scalable and high-quality ML solutions with a proven track record of publication at ML conferences and journals.
• Familiarity with training and evaluating Large Language Models (LLMs) and other generative AI systems.

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.

The Actor Safety Foundational Modeling (ASFM) team's mission is to protect Google Ads users from harm by building the core models and infrastructure that enable the detection and prevention of abusive behavior. We do this by developing AI/ML models to deeply understand the behavior of advertisers in the Google Ads ecosystem. We provide infrastructure creating robust, scalable infrastructure that allows our detection and enforcement teams to identify and act on bad actors quickly/effectively. We innovate and rapidly deploy new solutions to ensure we are always one step ahead of those who seek to abuse our platform.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
The US base salary range for this full-time position is $248,000-$349,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
The US base salary range for this full-time position is $248,000-$349,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Recruit, hire, and mentor a team of applied scientists and engineers, helping them grow.
• Define your team's long-term plan, turning business goals into practical and scalable AI/ML solutions.
• Guide your team in building, testin