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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineering Manager II - **Company:** Google LLC - **Location:** New York, NY, United States - **Experience:** Experienced - **Salary:** $207,000.0 - $300,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cloud Computing, Data Compression, Distributed Systems, Design of User Interfaces, Information Retrieval, Natural Language Processing, Cloud Services, Software Engineering, Systems Architecture, Google Cloud, Large Language Models - **Published:** September 18, 2026 - **Apply:** https://dejobs.org/x/x/F7E9A2ECF43145A2A41441293AF09A3E/job/ ## About the Role Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain., * Bachelor's degree, or equivalent practical experience. * 8 years of experience in software development. * 3 years of experience in a technical leadership role. * 2 years of experience in a people management or team leadership role. * Experience integrating generative AI tools or LLM interfaces into workflows., * 2 years of experience in engineering management. * Experience building agentic experiences. * Understanding of Public Cloud services, with a focus on Google Cloud Platform (GCP). * Stakeholder management and overseeing projects with high visibility to leadership. * Passion for simplicity and improving customer satisfaction. ## Description 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 Agents Everywhere end-to-end (E2E) Quality Team (i.e., AE3) within Cloud Foundations is focused on ensuring teams across the Agents Everywhere workstream (Agent Cloud, Agent Platform, Gemini Enterprise, and Workspace) can rapidly deploy functionality with confidence that it works end-to-end and will not introduce regressions to the cross-product experience. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. 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, * Lead a high-impact team of Software Engineers responsible for architecting, expanding, and maintaining the cross-product end-to-end (E2E) testing platform and quality gates for Google's next-generation agentic ecosystem. * Be at the critical intersection of Agent Cloud, Agent Platform, Gemini Enterprise, and Workspace. * Empower partner engineering teams to ship agentic features rapidly with complete confidence, establishing automated release gates that prevent regressions from ever reaching production or enterprise customers. ## Related Videos - [Leverage Cloud Computing Benefits with Serverless Multi-Cloud ML ](https://www.wearedevelopers.com/videos/78-leverage-cloud-computing-benefits-with-serverless-multi-cloud-ml) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [The Software Engineer 2030: From Coder To AI Orchestrator? - Patrick Schnell](https://www.wearedevelopers.com/videos/1825-the-software-engineer-2030-from-coder-to-ai-orchestrator-patrick-schnell) - [Green Cloud Computing](https://www.wearedevelopers.com/videos/592-green-cloud-computing) - [Cloud-nativeApplications- What’s the buzz about](https://www.wearedevelopers.com/videos/55-cloud-nativeapplications-what-s-the-buzz-about) - [A Computer Is All You Need](https://www.wearedevelopers.com/videos/100142-a-computer-is-all-you-need) ## Related Articles - [Got AI ideas but no money? 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