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Google

Technical Lead Manager, Search AI Growth

Career Insights for Generative Artificial Intelligence Engineer

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What they do

A Generative Artificial Intelligence Engineer develops, designs, and manages generative models and algorithms that support the generation of new content in the form of images, text, audio, and other multimedia. They utilize GPTs, GANs, VAEs, and other deep learning architectures to craft systems capable of generating data. May work with data scientists, machine learning engineers, and software developers.

$166,830 / year median in California

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Job Description

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 software development. 3 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent. 3 years of experience in a technical leadership role. 2 years of experience in a people management or team leadership role.
Preferred qualifications:
Master's degree or PhD in Computer Science or related technical field. 3 years of experience working in a complex, matrixed organization. Experience driving technical initiatives from concept to launch, authoring design documents, and prioritizing roadmaps using a data-driven approach. Experience partnering with Product, UX, and adjacent engineering teams to deliver shared goals. 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. In this role, you will define how the world adopts Search's next wave of AI products. You will lead the engineering team responsible for driving user growth and scaling engagement across Search's flagship AI features. You will also shape and build the
Search Growth Platform:
an intelligent platform that will autonomously optimize user lifecycles across Search. In Google Search, we're reimagining what it means to search for information - any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

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 Drive growth strategies and deliver on key product goals, including the adoption of new AI features, user engagement metrics, and subscription products. Lead the design and delivery of the Search Growth Platform's next-generation AI engine to optimize the end-to-end user lifecycle. Manage, mentor, and grow a team of software engineers while guiding their career development. Cultivate a culture of engineering excellence to solve complex technical problems. Build user-facing features and foundational infrastructure for user engagement with a focus on rapid experimentation. Google is proud to be an equal opportunity workplace and is 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.

Benefits

  • Dental Insurance