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Job Details
Posted date: Feb 24, 2026
Location: Seattle, WA
Level: Director
Estimated salary: $244,000
Range: $197,000 - $291,000
Description
Lead a team of Software Engineers designing, implementing, and operating components supporting Google Cloud Run and functions. Work with customers and cross-functional leads from Product Management, Technical Leads, User Experience, and Program Management to develop a roadmap for accelerating developer growth on Cloud Run. Remove onboarding frictions such as configuration complexity and latency. Stay updated with the latest industry trends in Artificial Intelligence and the developer ecosystem and influence the product roadmap to align with developer needs. Improve the team's productivity and production health with technical innovation and mentorship.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 Cloud Run team's mission is to accelerate the growth of new developers in Google. Cloud Run is Google Cloud Platform's premium Serverless platform for running applications. Cloud Run is used by enterprises of all sizes to run mission-critical systems. More recently, we’ve seen an exponential growth from Artificial Intelligence-generated applications running on Cloud Run that are deployed using first-party products such as Gemini, Google Artificial Intelligence Studio, Firebase, Collaboratory, and by the wider AI-assisted developer tooling ecosystem.
Our team is shipping innovative platform features to help accelerate the onboarding of new developers to run modern applications and capable Artificial Intelligence agents.
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.
The US base salary range for this full-time position is $197,000-$291,000 + 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.
Qualifications
Minimum qualifications: 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.
Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
3 years of experience working in a matrixed organization.
Experience with the AI Developer Ecosystem.
Extended Qualifications
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.