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Google Software Engineering Manager, Play Search Getaway in Mountain View, California

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).

  • 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role.

  • 3 years of experience with machine learning algorithms and tools, or applied machine learning (e.g., LLM's, Generative AI, NLP, recommendations).

  • 3 years of experience with recommendations or ranking systems.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.

  • 3 years of experience working in a changing organization.

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.

The team plays a role in recommending query, assisting query formulation, guiding user navigation in their app search journey, and across search entry points such as Search Home, Suggest, and Voice Search.

Google Play offers music, movies, books, apps and games for devices, powered by the cloud. It syncs across devices and on the web. As part of the Android and Mobile team, Googlers working on Google Play do everything from engineering our backend systems, to shaping product strategy, to forming great content partnerships. They make it possible for people to do things like buy an ebook or song on their Android phone, then have it instantly available on their laptop. The Google Play team enhances the Android ecosystem by giving developers and partners a premium store where they can reach millions of users.

The US base salary range for this full-time position is $189,000-$284,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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 (https://careers.google.com/benefits/) .

  • Lead a team to develop query recommendation frameworks to serve content to users, align strategy, processes, and decision-making across teams.

  • Set clear expectations with individuals based on their level and role and align to the broader organization's goals, meet regularly with individuals to discuss performance and development, and provide feedback and coaching.

  • Use data-driven insights to optimize search entry point performance and identify growth opportunities.

  • Design, guide, and vet system designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.

  • Lead a team to design, build, and launch machine learning models to improve user engagement and contempt quality in search entry points.

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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

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