Engineering Manager, Maps

Google•New York, NY

6d•$207,000 - $300,000

About The Position

The Engineering Manager will lead a team of software and machine learning engineers developing Google's foundational Semantic Location engine. The engine infers where people go and how they move in the real world, and powers Google products including Busyness, Transit Crowdedness, Maps Timeline, Commute Notifications, Maps user-generated content, and Ads measurement. It runs on hundreds of millions of Android and iOS devices and is built using large-scale, parallel training pipelines on Google servers. The team focuses on improving the model and its products through better signal acquisition, feature engineering, model architecture, data cleaning, and ground-truth data. The manager will coach and grow engineers, own the team's multi-quarter strategy and roadmap, and oversee execution. In partnership with the tech lead, the manager will advance machine-learning models and infrastructure while balancing near-term impact, long-term technical investments, and system stability. The role also works with clients across Maps, Ads, Android, and other product areas to align priorities, identify opportunities, and enable new Semantic Location use cases. The Geo team builds mapping products and services including Maps, Earth, Street View, and Google Maps Platform, and enables developers to use Google Maps platforms in their apps and websites. Individual pay is determined by job-related skills, experience, and relevant education or training. The U.S. compensation range is $207,000–$300,000 USD, plus a 20% bonus target, equity, and benefits.

Requirements

Bachelor's degree or equivalent practical experience.
8 years of software development experience in one or more programming languages.
2 years of experience in a people management or team leadership role.

Nice To Haves

PhD in Computer Science, Statistics, or a related field.
Experience successfully applying generative AI and machine-learning approaches to real-world problems.
Strong mathematical skills with knowledge of statistical methods.

Responsibilities

Manage, coach, and develop a team of engineers; set clear expectations, foster a collaborative and fast-moving engineering culture, and align project ownership with individual career growth.
Design the team's long-term technical vision, develop a roadmap, and drive execution to deliver measurable impact.
Collaborate with client teams and other partners on joint goals and requirements, integrate them into the roadmap, and communicate progress.
Provide technical guidance to ensure the model and systems are high-quality, resource-efficient, reliable, and maintainable.
Own the team's multi-quarter strategy and oversee its execution.
Work with the tech lead to advance machine-learning models and infrastructure while balancing short-term impact, long-term technical bets, and system stability.
Collaborate with partners across Maps, Ads, Android, and other product areas to align priorities, identify opportunities, and unlock new use cases for Semantic Location.