Google

Engineer Manager, AI Applications

Google$207K — $300K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

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

Responsibilities

  • Set and communicate team priorities aligned with organizational goals.
  • Establish clear expectations with team members through regular performance discussions.
  • Develop mid-term technical direction and roadmap for multiple teams.
  • Design and guide systems designs to solve complex problems.
  • Lead systems solutions in specialized ML areas and optimize ML infrastructure.

Benefits

  • Access to comprehensive health and wellness programs.
  • Generous parental leave and family support options.
  • Professional development and continuous learning opportunities.
  • 401(k) retirement plan with company match.
  • Diverse and inclusive work environment promoting growth.
Full Job Description
info_outline
X In most instances, this position requires in-person interviews as part of the hiring process.

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.


Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .

About Google

Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
Learn more about Google
Size
156,500 employees
Market Cap
$1,115.4 billion
Industry
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
NASDAQ

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