Product Manager, Android Maps Reach

Job description

Minimum qualifications

Bachelor's degree or equivalent practical experience. 5 years of experience in product management or a related technical role. 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc). Experience integrating generative AI tools or LLM interfaces into workflows.

Preferred qualifications

Master's degree in a technology or business related field. Experience building products for emerging markets, next billion users, or optimizing app performance for memory-constrained/low-end Android devices. Experience launching mobile consumer products at scale with a focus on product growth, user funnels or acquisition. Experience with growth product management, consumer mobile apps, referral ingress, push notification systems, or onboarding conversion.

Understanding of mobile app architecture, client-server latency optimization, Operating System (OS) permissions (e.g., location/notifications), and API/SDK integrations. About the job Geo's mission is to help people explore and navigate the real world wherever they are. We want to make real-world exploration and navigation seamless, intelligent, and universally accessible to all users across every hardware tier and network condition globally.

At Google Maps' scale of 2B+ monthly active users, even fractional improvements in funnel conversion, latency, or feature discoverability generate massive, world-scale impact. As a Product Manager, you will help drive Maps' reach towards 3B monthly active users (MAUs). You will join the International Growth team, with a focus on growing Android Maps (aka aGMM) Reach by creating new and improving existing acquisition and re-activation flywheels.

You will drive sustainable, high-velocity user growth and engagement across top Android growth markets (including US, India, Indonesia, Brazil, Vietnam etc) while systematically eliminating friction in the user journey. The team operates at the intersection of product intuition, deep data analytics, and rigorous experimentation.