Engineering Manager, Generative AI, Cloud Assist

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your extensive technical expertise you take initiative to independently design and implement new systems, designing, implementing, and testing multiple features with little or no direction from tech lead or manager. You collaborate with key stakeholders to determine future direction of work.

Gemini Cloud Assist is the Google Cloud AI powered cloud management product portfolio that transforms the experience of our customers across all surfaces from learn, design, deploy, operate, investigate and optimize their applications, workloads and services. We are seeking an Engineering Manager to strategize, build, and develop Gemini Cloud Assist Investigations and transform how enterprise customers consume and manage their businesses in the cloud, can influence and work across Google Cloud, DeepMind and external AI ecosystem.

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 $207,000-$300,000 + 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.

Responsibilities

• Work as an engineering manager and leader on Gemini Cloud Assist Troubleshooting team.
  
• Lead initiatives on agentic framework, to help scale investigations coverage across 1p and 3p data sources.
  
• Drive exploratory analysis of state of the modeling techniques, user engagement behaviors and product performance to discover important trends, product opportunities, and Gemini Cloud Assist (GCA) troubleshooting quality gaps.
  
• Interact cross-functionally and cultivate strong partnerships with a wide variety of teams. Work closely with engineering, product, design, operations, and user research to identify opportunities for impactful analysis.
  

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
  
• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience with large-scale distributed systems.
• 2 years of experience in a people management role managing at least 8 reports.
• 2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 3 years of experience working in a complex, matrixed organization.
  
• Experience with test automation frameworks.
• Experience with Cloud APIs.