Software Engineering Manager, Identity Onboarding

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 AION (Authentication, Identity, and Onboarding) team caters to Onboarding and Authentication experiences on Google Cloud Platform (GCP). In this role, you will scale and lead critical projects in the Identity Onboarding space. For GCP, the ability to attract and retain new developers is inextricably linked to the simplicity of our initial sign-up process. However, seamless presentation to our end users doesn't preclude built-in security safeguards, governance mechanisms, and protections against abuse. Identity Onboarding is a complex space that's directly linked to the bottom line of Cloud. 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 . Direct and build a team of individual contributors to re-engineer GCP onboarding. Build the solution as a platform, so that elements of the solution can be rapidly re-packaged to support different GCP products and their onboarding scenarios. Navigate multiple organizations, product areas and align engineering efforts across them. Be responsible for regularly presenting the project's progress to senior leadership. Architect solutions that balance a frictionless user experience with stringent security and compliance requirements. Build, manage, and mentor a multi-disciplinary engineering team capable of touching multiple layers of the GCP/Google identity stack. Minimum qualifications: Bachelor’s degree, or equivalent practical experience. 8 years of experience in software development. 3 years of experience in a technical leadership role. 2 years of experience in a people management or team leadership role. Experience integrating generative AI tools or LLM interfaces into workflows. Preferred qualifications: 10 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 5 years of experience in a technical leadership role; overseeing strategic projects, with 3 years of experience in a people management role. Ability to technically mentor team members and grow technical expertise and leadership within the team. Ability to coach and support team members in their career growth. Bachelor’s degree, or equivalent practical experience. 8 years of experience in software development. 3 years of experience in a technical leadership role. 2 years of experience in a people management or team leadership role. Experience integrating generative AI tools or LLM interfaces into workflows.