Engineer Manager, AI Applications

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in Distributed Systems, Software Architecture, and System Design.
  
• 3 years of experience in a technical leadership role.
• 2 years of experience in a people management or team leadership role.
• 2 years of experience with data structures and algorithms, Java, C++, System Architecture, Software Development, Database Design, Google Remote Procedure Call (gRPC) and Protocol Buffers.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 5 years of experience leading a team building large-scale distributed systems, setting up enterprise grade agent infrastructure (i.e., MCP servers, tools, agents).
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• Ability to lead and grow a team of several engineers building next-generation distributed systems and storage infrastructure, leveraging prior engineering management experience from leading technology organizations.

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.

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.

Responsibilities:

• Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.
• Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.
• Develop the mid-term technical direction and roadmap within the scope of your (often multiple) team(s). Evolve the road map to meet anticipated future requirements and infrastructure needs.
• Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.
• Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies.