Google is seeking an Engineering Manager for Acquisition and Onboarding. The role focuses on owning outcomes and decision making, solving ambiguous problems, influencing stakeholders, and applying deep domain expertise. The position involves leading software engineering efforts across multiple teams and locations, managing project goals, contributing to product strategy, and developing a high-performing team.
About the jobLike Google's own ambitions, the work of a Software Engineering Manager goes beyond just code. You will have the technical leadership to guide major projects and manage a team of engineers. You will optimize your own code and help engineers optimize theirs, manage project goals, contribute to product strategy, and help develop your team. Teams work across areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, and user interface design. You will guide the way as you operate with scale and speed. You may manage engineers across multiple teams and locations, a large product budget, and oversee the deployment of large-scale projects across multiple sites internationally.
As part of the Workspace Monetization - Core Acquisition team, we own the self-serve signup and setup funnels for Workspace, a major business driver for Workspace and Cloud. We rapidly build, A/B test, and launch new features cross-functionally.
AI will change the future of work in profound ways, and our products—Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet—are at the forefront. Our AI opportunity is huge, from pre-computed summaries for email threads and meetings to videos created from documents using AI avatars. Our mission is to meaningfully connect people so they can create, build, and grow together, and you will help shape how productivity tools should work 5–10 years into the future. You will work with model builders (Google DeepMind), with exceptional leaders, and have the ability to impact billions of users globally.
Salary information: The US base salary range for this full-time position is $197,000-$291,000 plus bonus, equity, and benefits. Salary ranges are determined by role, level, and location. Individual pay within the range is determined by work location and other factors. Your recruiter can share the specific salary range for your location during the hiring process. Compensation details reflect base salary only and do not include bonus, equity, or benefits.
Google is proud to be an equal opportunity and affirmative action employer and is committed to building a workforce representative of its users. See the EEO policy and related notices for more details.
ResponsibilitiesLike Google's own ambitions, the work of a Software Engineering Manager goes beyond just Search. You will have the technical leadership to guide major projects and manage a team of engineers. You will optimize your own code and help engineers optimize theirs, manage project goals, contribute to product strategy, and help develop your team. Teams work across areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, and user interface design. You may manage engineers across multiple teams and locations, a large product budget, and oversee the deployment of large-scale projects across multiple sites internationally.
As part of the Workspace Monetization - Core Acquisition team, we own the self-serve signup and setup funnels for Workspace, a major business driver for Workspace and Cloud. We rapidly build, A/B test, and launch new features cross-functionally.
AI will change the future of work in profound ways, and our products—Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet—are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world.