Software Engineering Manager, NPI Ecosystem and Agentic AI

Software Engineering Manager

Advanced experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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.
• 3 years of experience in a people management role managing software engineers.

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 integrating large language models and artificial intelligence into practical applications.
• Automating workflows or other creative use cases.
• Experience architecting and deploying scalable systems that leverage AI algorithms and generative AI agents to automate complex workflows.
• This includes practical experience designing multi-agent systems to eliminate operational friction and drive process automation.

About the job:

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.

We are undertaking an executive-backed transformation of our product introduction and software development processes, and we are looking for an engineering leader to drive this effort in close partnership with our Lead Product Manager. As the visionary for the newly formed Ecosystem and Agents workstream, you will guide a dedicated, fully-funded engineering team to build an AI-enabled, highly malleable toolchain from the ground up.

Today, our teams face heavy manual toil across disconnected internal platforms. Your mission is to change that architecting an intelligent ecosystem that gives Google Cloud the velocity of a startup while maintaining enterprise security and compliance standards.

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.

Responsibilities:

• Lead the launch ecosystem strategy.
• Integrate LLMs and agentic AI to analyze requirements and drive automated workflows.
• Partner with the Lead PM to translate complex user journeys into scalable engineering approaches from MVP to full automation.
• Migrate fragmented tracking tools to a unified, transparent workflow engine with automated SLAs and clear status tracking.
• Replace manual questionnaires with dynamic intake logic that triggers downstream Security, Privacy, and Compliance reviews only when needed.
• Build backend infrastructure for a real-time executive dashboard tracking key metrics like velocity, quality, and throughput.