Senior Engineering Manager, Support Experiences, gUP Engineering

Like Google's own ambitions, the work of a Software Engineer goes way 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 Scaled Solutions team in Google's User and Products (gUP) Engineering focuses on designing, building, and maintaining technology platforms and tools that enable Google's User and Products (gUP) organization to deliver support and operations efficiently and effectively across a wide array of products and user bases. By developing these scalable platforms and services, we empower gUP to provide high-quality support experiences to millions of users and partners globally, while also improving internal operational efficiency. We collaborate closely with Product Management, UX, other gUP Engineering teams, and various operational and product vertical teams to identify opportunities and deliver far-reaching technology solutions.

In gTech Users and Products (gUP), our mission is to advocate for Google’s users by creating helpful and trusted experiences across the product ecosystem. We achieve this by meeting partners and consumers where they are with support and help, representing their needs with our product partners and proposing fixes and features that elevate their engagement with Google's diverse product ecosystem. Additionally we provide a range of product services that ensure our products are optimized for every user, no matter where they are in the world (e.g., localization, digitization, partner integration and more).

The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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.

Responsibilities

• Build, mentor, and manage a high-performing engineering team focused on content automation, fostering career development, technical excellence, and a collaborative team culture.
• Define and drive the technical strategy, roadmap, and architecture for content automation systems and platforms, evaluating and incorporating innovative technologies to meet business needs.
• Oversee the end-to-end software development lifecycle for the team, ensuring the timely and high-quality delivery of scalable, reliable, and maintainable content automation solutions.
• Partner closely with Content Strategists, Product Managers, Operations teams, Data Scientists, and other stakeholders to identify automation opportunities, gather requirements, and ensure solutions deliver maximum impact.
• Advocate engineering best practices, drive high standards for code quality and system design, and encourage innovation in the application of automation technologies (including ML/NLP where appropriate) challenges.

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.