Engineering Manager, Engineering Productivity

Minimum qualifications:

• Bachelor's degree in Computer Science or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages (e.g., Java, C/C++, Python, JavaScript, or Go).
• 3 years of experience in a technical leadership role overseeing projects, with 2 years of experience in a people management, supervision/team leadership role.

Preferred qualifications:

• Master's degree or PhD in Computer Science or a related technical field.
• 3 years of experience building tools that improve development velocity, code quality, and/or code health.
• 3 years of experience working in a complex, matrixed organization.

About the job

We embed directly within the Geo Auto, focusing on the needs of speed, ease, and quality. We leverage a wide range of strategies to deliver impact (i.e., infrastructure, frameworks, tools, process and automation, metrics and insights, testing, and beyond).

You will nurture and foster a culture of excellence with the work the team delivers.

Geo builds the most accurate, comprehensive, and useful maps for our users. More than a billion people rely on Maps services to explore the world and navigate their daily lives. That includes sailing down the Amazon river, choosing where to get a bite of pizza, and saving time in commuting.

Geo also helps merchants get their businesses on Google, and developers use the power of Maps to enhance their apps and websites. They are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving the accuracy of our geo data, all in order to plot a course for the future of mapping.

Responsibilities

• Enable Auto to develop with confidence, ship with ease, and celebrate the quality of its products.
• Manage a team of Engineering Productivity software engineers in building an exceptional infrastructure for the automotive program.
• Work on early stage bi-directional data platform products from embedded systems to cloud.
• Own complex problems in testability, standardization, and fleet analytics.
• Thrive in cross-functional partnerships to form collaborative strategies with high stakeholder value.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.