The role
From Google's own posting.
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 Observability Experiences team builds AI-native Cloud Observability systems for GCP and the Gemini Platform, spanning telemetry exploration agents, the AI-driven Cloud Console, and integrated platform features. Driven by an agile, rapid-prototyping philosophy tailored to Agentic AI development, the team pairs high-velocity execution with operational standards. Success relies on deep technical involvement in architecture and design, cross-organizational collaboration with partner teams, and aligning solutions directly with the evolving needs of cloud and AI infrastructure.
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
Learn more about benefits at Google .
Lead, mentor, and coach an engineering team across junior and senior levels, establishing a high-performance culture and strong remote/hybrid operational practices.
Define and drive the multi-project technical vision, strategy, and roadmap for GCP cloud observability products using sound technical judgment.
Guide system architecture, scalable deployments, and design standards to ensure high reliability, code quality, and operational excellence.
Manage project priorities, timelines, and resource allocation to deliver high-quality solutions predictably in fast-moving, ambiguous environments.
Partner with cross-functional stakeholders and user groups to align product initiatives, resolve technical trade-offs, and ensure cohesive service integration.
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 developing large-scale infrastructure or distributed systems.
2 years of experience in a people management 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, building, or integrating tools and servers using the Model Context Protocol (MCP) to connect AI agents with developer tooling, APIs, and enterprise data.
Experience building on an agentic framework.
Experience in the observability space.
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 developing large-scale infrastructure or distributed systems.
2 years of experience in a people management role.