Software Engineer Manager II, Ads Safety Experiences
Mountain View, CA, USA · Mid
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About the role
- 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.
Responsibilities
- Develop and drive the overarching strategy and roadmap for Ads Safety Advertiser Experiences.
- 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.
Requirements
- 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.
Nice to have
- Master's degree or PhD in Computer Science or related technical field.
- 3 years of experience working in a complex, matrixed organization.
- Experience in Ads Safety, cybersecurity, or related domains.
- Experience with human review processes and systems that complement automated platforms.
- 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.
- 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.
Compensation
- $207k-$300k
This listing is sourced directly from Google's careers page and normalized into a canonical job model.