Google
Senior Software Engineering Manager, AI/ML GenAI, Google Cloud AI
Google, Kirkland, Washington, United States, 98034
Overview
Senior Software Engineering Manager, AI/ML GenAI, Google Cloud AI — Google is seeking a Senior Software Engineering Manager to lead AI/ML GenAI initiatives within Google Cloud AI. Note: You may share your preferred working location from Kirkland, WA, USA; Sunnyvale, CA, USA. Minimum 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. 5 years of experience in a people management or team leadership role. 2 years of experience with state-of-the-art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or GenAI-related concepts (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 complex, matrixed organization. About the job
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 unique 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. As a Software Engineering Manager you manage your project goals, contribute to product strategy, and help develop your team. You guide engineers across multiple teams and locations, manage a large product budget, and oversee the deployment of large-scale projects across multiple sites internationally. The US base salary range for this full-time position is $248,000-$349,000 + bonus + equity + benefits. Salary ranges depend on role, level, and location. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Compensation details listed reflect base salary only and do not include bonus, equity, or benefits. 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 long-term technical vision and roadmap within, and often beyond, the scope of your teams. Evolve the roadmap to meet anticipated future requirements and infrastructure needs. Oversee systems designs within the scope of the broader area, and review product or system development code to solve ambiguous problems. Drive technical project strategy, lead large-scale ML infrastructure optimization, and oversee the design and implementation of state-of-the-art GenAI solutions. 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 also Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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Senior Software Engineering Manager, AI/ML GenAI, Google Cloud AI — Google is seeking a Senior Software Engineering Manager to lead AI/ML GenAI initiatives within Google Cloud AI. Note: You may share your preferred working location from Kirkland, WA, USA; Sunnyvale, CA, USA. Minimum 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. 5 years of experience in a people management or team leadership role. 2 years of experience with state-of-the-art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or GenAI-related concepts (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 complex, matrixed organization. About the job
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 unique 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. As a Software Engineering Manager you manage your project goals, contribute to product strategy, and help develop your team. You guide engineers across multiple teams and locations, manage a large product budget, and oversee the deployment of large-scale projects across multiple sites internationally. The US base salary range for this full-time position is $248,000-$349,000 + bonus + equity + benefits. Salary ranges depend on role, level, and location. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Compensation details listed reflect base salary only and do not include bonus, equity, or benefits. 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 long-term technical vision and roadmap within, and often beyond, the scope of your teams. Evolve the roadmap to meet anticipated future requirements and infrastructure needs. Oversee systems designs within the scope of the broader area, and review product or system development code to solve ambiguous problems. Drive technical project strategy, lead large-scale ML infrastructure optimization, and oversee the design and implementation of state-of-the-art GenAI solutions. 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 also Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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