Technical Program Manager II, AI/Machine Learning, Geo

Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
• 2 years of experience in program management.
• Experience in machine learning or artificial intelligence.
• Experience in manipulating datasets using SQL, R, Python or other programming languages.

Preferred qualifications:

• Bachelor's degree in Engineering or other related technical fields or equivalent practical experience.
• 2 years of experience managing cross-functional or cross-team projects.
• 2 years of experience within machine learning.
• Experience in solving machine learning or artificial intelligence challenges involving data analytics and statistics.
• Ability to take initiative and separately make trade-offs in a highly ambiguous, fast-changing environment.
• Excellent written and verbal communication skills with the ability to interact with technical and non-technical global, cross-functional groups.

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

Our goal is to build a Google that looks like the world around us — and we want Googlers to stay and grow when they join us. As part of our efforts to build a Google for everyone, we build diversity, equity, and inclusion into our work and we aim to cultivate a sense of belonging throughout the company.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.

• Contribute to and execute programs under Geo Data Operations (GDO) Machine Intelligence strategy in collaboration with Engineering and Operations teams.
• Identify processes, infrastructure, and tooling requirements to scale machine learning and data services.
• Run data pipeline Sustainment and AI Operations programs within GDO, contributing to engineering projects from conception to implementation.
• Build scalable and intelligent solutions to produce large volumes of high quality data that form the center of Google Maps’ consumer and enterprise user needs.