- Tokyo, Tokyo
- Full-Time
- 30 days ago
Software Engineer Manager II, Geo.
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Software Engineer Manager II, Geo: our view in 3 lines...
- The Role:This role leads software engineering for Geo, focusing on large-scale mapping products and infrastructure.
- The Person:The person will lead engineers, define technical strategy for the UGC notification engine, scale infrastructure for new use cases, improve the ML-powered user targeting system, and mentor the team.
- Requirements:The role requires 8 years of software development experience, 3 years in a technical leadership role, 2 years in people management, and preferred experience with machine learning systems, C++, and Java.
About the role
Minimum qualifications:
- Bachelor’s degree, or equivalent practical experience.
- 8 years of experience with software development in one or more programming languages (e.g., C++, Java).
- 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.
- 10 years development experience with global-scale infrastructure.
- 5 years of people management experience, with success in coaching/mentoring and growing team members and team impact whilst maintaining strong culture and morale.
- Experience with machine learning systems.
- Ability to work cross-functionally with multiple teams and stakeholders, with proven skills in relationship-building, collaboration, and influencing.
- Proven track record of leading and delivering high impact consumer facing products and features.
About the job:
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 Tech Lead/Manager of the Contributor Reach team, you will be leading a team of talented full-stack engineers to evolve our contributor reach strategy and the underlying User-Generated Content (UGC) notification infrastructure. The team is focusing on scaling our infra to support emerging use cases, whilst improving the quality of our ML-powered user targeting system to ensure contributors are notified at the best moment to share their experience without getting in their way.
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.
Responsibilities:
- Partner with PM/UX/PgM/Data scientists to define and execute on our contributor reach strategy.
- Iterate and improve on user experience by applying a rigorous data-driven approach.
- Lead overall technical strategy of the UGC notification engine. Scale infra to support new use cases, and integrate latest AI/ML capabilities to improve the user targeting system.
- Elevate our engineering culture and quality standards. Lead AI transformation within the team not just on what we build, but how we work, in order to increase team productivity whilst maintaining a high engineering quality bar in the age of AI.
- Lead and mentor an engineering team to deliver on the technical roadmap while fostering a collaborative, growth-oriented environment that supports career development.

