Product Manager, Growth & Discovery Platform, Gemini App
Company: Google DeepMind
Location: Los Angeles Metropolitan Area
Salary: $227k - $320k per year
Type: Full-time
Posted: 2026-03-14
About this role
Snapshot
The Growth & Discovery Team is the engine responsible for driving massive user and revenue expansion for Gemini across all audiences—consumers, businesses, and developers. Operating across the full user lifecycle, the team executes a comprehensive strategy that spans Acquisition (getting people in), Activation (getting them to their "aha" moment quickly), Retention (making Gemini indispensable through feature discovery and valuable use cases), and Expansion/Monetization (converting engaged users into subscribers). We accomplish this through a combination of in-product funnel optimization, global performance marketing, disciplined experimentation powered by an advanced platform, and the exploration of novel growth loops and distribution channels like Viral Sharing and Emerging Markets, ultimately building the essential systems and infrastructure to ensure scalable, efficient, and AI-powered growth for the entire Gemini ecosystem.
About Us
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
The Role
In this role, you will act as a full-funnel growth and discovery architect, responsible for designing and scaling the core systems that power Gemini’s growth, discovery and revenue initiatives for user growth, monetization and strategic user segments.. This highly strategic and technical role sits at the intersection of Product, Data Science, and Marketing — driving how Gemini personalizes discovery, measures impact, and grows intelligently through AI. The leader will own the 0→1 buildout of dynamic content, experimentation, notifications, and signals infrastructur...