at Google
Location
New York, NY, USA
Compensation
$207k–$300k USD
Type
full time
Posted
3 weeks ago
Remote
Yes
Market range · company + function + seniority
p25 · target · p75 · n=254
Posted $300k · in the market band
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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 Developer Intelligence group within Google Cloud AI Developer Tools (AIDT) puts AI and model intelligence into every Google Cloud Platform developer workflow. We are the engineering organization responsible for the complete developer journey on Gemini Enterprise—delivering high-polish product integrations, secure cloud agent runtimes, and repository-fixing engines.
The Product Integrations pillar builds all the touchpoints where software engineers, platform developers, and cloud administrators interact with Gemini Enterprise. Our scope spans multi-IDE extensions (VS Code, Visual Studio, Eclipse, plus JetBrains, Zed, and Xcode via the Agent Client Protocol), the Google Cloud Pantheon Admin Web Console, developer terminal workflows (Gemini CLI), and partner engineering operations.
The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.
Application Instructions: In most instances, this position requires in-person interviews as part of the hiring process.
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