Group Product Manager, Relevance, GeminiApp

Highlights

• Define strategy for ML engine powering discovery across the Gemini App.
• Evolve Gemini from rules-based ranking to deep retrieval and ranking models.
• Build zero-state discovery, session resume, and proactive daily routines.

What they offer

• 25% bonus target
• equity
• benefits

Ideal candidate

Seasoned product leader passionate about turning AI into an indispensable daily habit, thriving at the intersection of ML, UX, and growth experimentation.

Requirements

• Bachelor's degree in Computer Science or equivalent practical experience
• 10 years of experience in product management or a related role
• Experience as a Product Manager managing 0-to-1 recommendation systems, ML personalization platforms, or feed/discovery ranking products
• Deep technical fluency with modern ML architectures, feature store infrastructure, offline/online training workflows, and low-latency real-time serving constraints
• Exceptional cross-functional leadership skills across Engineering, Data Science, UX, Legal/Privacy, and partner product organizations
• Proven track record driving core growth and engagement metrics (DAU, CTR, session quality) through rigorous A/B experimentation and causal modeling