Senior Software Engineering Manager, Cloud AI, Agents

Senior Software Engineering Manager, Cloud AI, Agents

Job overview and responsibilities are described below.

Responsibilities

• Provide technical leadership and direction for the team designing and building the core agentic runtime, including solving first-principle challenges in Large Language Model (LLM) based planning, stateful execution for long-running tasks, and building a fault-tolerant orchestration engine for non-deterministic workflows.
• Oversee the architecture and delivery of the developer-facing components of the platform, including SDKs, APIs, and low-code visual surfaces that developers use to define agent goals, provide tools (connectors), and build, test, and deploy their AI agents on Google Cloud.
• Drive strategy for critical agent infrastructure; collaborate with Product Management and AI research teams to build solutions for agent observability (debugging and tracing), evaluation frameworks (testing agent reliability), and security sandboxing to ensure safe tool usage.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
• 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience in a technical leadership role; overseeing projects.
• 5 years of experience in a people management, supervision/team leadership role.
• 2 years of experience with GenAI techniques (e.g., Large Language Models, Multi-Modal, Large Vision Models) or with GenAI-related concepts (e.g., language modeling, computer vision).

Preferred qualifications

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 5 years of experience working in a cross-functional organization.

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 across information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design, and more. You guide the way as a manager while operating with scale and speed.

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.

Our mission is to engineer the platform for building and running AI agents on Google Cloud. We are at the heart of Google Cloud's strategic pivot to an agent-first world, creating the Agent-Platform-as-a-Service that enables developers to build sophisticated Agentic applications capable of performing multi-step tasks.

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 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.

Salary

The US base salary range for this full-time position is $248,000-$349,000 + bonus + equity + benefits. Salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and other factors including job-related skills, experience, and training. Your recruiter can share more about the specific salary range for your location during the hiring process. The compensation details listed reflect base salary only and do not include bonus, equity, or benefits.

EEO and accommodations

Google is proud to be an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See Google’s EEO Policy. If you have a disability or special need that requires accommodation, please let us know by completing the Accommodations for Applicants form.

Note: This refinement removes unrelated postings and extraneous promotion language to present a clean, job-focused description that preserves the core responsibilities and qualifications.