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Salary
≈ $131k – $260k per year (Estimated)
Location
In office (Mountain View)
Seniority
Middle · 8+ years exp

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Oct 20, 2026. Google scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Google is an American technology company founded in 1998 by Larry Page and Sergey Brin and now the principal subsidiary of Alphabet, headquartered in Mountain View, California. It operates the world's dominant search engine and the advertising system built around it, along with YouTube, Android, Chrome, Gmail, Maps, Workspace and Google Cloud, reaching billions of users across nearly every internet-connected market. The company designs its own silicon in the Tensor Processing Unit line, develops the Gemini foundation models through Google DeepMind, and derives most of its revenue from advertising while cloud has become its fastest growing segment.

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.

Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.

Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.

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

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Develop and drive the overarching strategy and roadmap for Ads Safety Advertiser Experiences.
  • Set the technical direction and standards for high-quality, maintainable, and robust solutions.
  • Manage, mentor, and grow a talented team of software engineers while cultivating a high-velocity engineering culture.
  • Drive design and architecture by reviewing and co-authoring design documents to ensure systems are robust and scalable.
  • Advocate engineering excellence by modeling and enforcing sustainable engineering practices, including participating in on-call rotations and reviewing postmortems and launches.

Qualifications

Minimum qualifications:

  • Bachelor’s degree, or equivalent practical experience.
  • 8 years of experience in software development.
  • 3 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
  • 3 years of experience in a technical leadership role.
  • 3 years of experience as an Engineering Manager for Ads technology products.
  • 2 years of experience in a people management or team leadership role.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.

    3 years of experience working in a complex, matrixed organization.

  • Experience designing and building large-scale systems, including serverless and service-oriented architectures (SOA).
  • Experience in Ads Safety, cybersecurity, or related domains.
  • Experience with human review processes and systems that complement automated platforms.
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