Job description

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. As a part of the Route Data team, you will own the mission-critical pipelines and infrastructure powering Google’s routing, navigation, and automotive solutions, acting as a vital bridge between map data and navigation systems. You will focus on three core pillars: managing pipelines to generate routing graphs for online, offline, and in-vehicle navigation; maintaining high-QPS, low-latency serving layers for real-time speeds, incidents, and road closures; and driving pipeline latency down to achieve hyper-fresh data releases. The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives. The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.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 . • Manage and develop an engineering team, manage staffing, support career growth and high-performance environment. • Own the strategy, scoping, and outcomes for modernizing data delivery infrastructure. • Accelerate data pipeline cadence to achieve daily releases and manage high-query-per-second (QPS), low-latency dynamic data servers. • Direct the team through architectural ambiguity by breaking down complex, large-scale data and infrastructure challenges into incremental technical milestones. • Collaborate with cross-functional engineering teams to align shared roadmaps, streamline data pathways, and power foundational data infrastructure. • Bachelor’s degree or equivalent practical experience. • 8 years of experience in software development. • 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture. • 3 years of experience in a technical leadership role. • 2 years of experience in a people management or team leadership role. Minimum qualifications: • Bachelor’s degree or equivalent practical experience. • 8 years of experience in software development. • 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture. • 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 with large-scale distributed systems, data processing pipelines, and serving infrastructure. • Experience leveraging artificial intelligence (AI) to streamline engineering workflows, optimize code delivery, and solve system architecture challenges.

Requirements

Must-haves

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.
Learn more about benefits at Google .
Manage and develop an engineering team, manage staffing, support career growth and high-performance environment.
Own the strategy, scoping, and outcomes for modernizing data delivery infrastructure.
Accelerate data pipeline cadence to achieve daily releases and manage high-query-per-second (QPS), low-latency dynamic data servers.
Direct the team through architectural ambiguity by breaking down complex, large-scale data and infrastructure challenges into incremental technical milestones.
Collaborate with cross-functional engineering teams to align shared roadmaps, streamline data pathways, and power foundational data infrastructure.
Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
3 years of experience in a technical leadership role.
2 years of experience in a people management or team leadership role.
Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
3 years of experience in a technical leadership role.
2 years of experience in a people management or team leadership role.
3 years of experience working in a complex, matrixed organization.

Nice-to-haves

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Master's degree or PhD in Computer Science or related technical field.
Experience with large-scale distributed systems, data processing pipelines, and serving infrastructure.
Experience leveraging artificial intelligence (AI) to streamline engineering workflows, optimize code delivery, and solve system architecture challenges.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

Platform: google
Effort: medium