Staff Software Engineer, Maps Experiments

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
  
• Experience in partnership management, coaching, and scaling out projects.
• Experience with distributed processing and distributed systems.
• Experience working with flume.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
  
• 3 years of experience in a technical leadership role; overseeing projects.
• 3 years of experience working in a complex, matrixed organization.
  
• 2 years of experience in a people management, supervision/team leadership role.
• Experience working in C++, Go, or SQL.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

In this role, you will focus on providing infrastructure and analytic tools for feature developers in Google Maps to run analytics and collect and compare user metrics for those experiments and launches to ensure that features are driving improvements to the Google Maps user experience by enhancing user engagement, refining the UI and navigation experience, and developing innovative features that maintain its position as the leading mapping product.

This role involves leading the Maps Experiments team, which owns and operates Geo's A/B experimentation platform. This involves building and developing technical expertise while leading a small team of engineers to scale out and serve Geo's experimentation and analytics needs.

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.

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

• Lead the Maps Experiments team initially as an individual contributor, with the goal of transitioning to a Tech Lead Manager given ramp-up and interest. Leadership of the team involves responsibility for the entire data platform for A/B experimentation.
• Participate in and guide architectural and design decisions for a scalable and reliable analytics platform for Geo.
• Cultivate, strengthen, and expand partnerships with client feature teams along with the team's partnerships with Core Data.
• Define and execute the strategy for the experimentation and analytics data platform.
• Coach and mentor a talented team of technical leads and engineers.