Define the multi-quarter strategy and roadmap to evolve Gemini’s recommendation engine from rules-based ranking into sophisticated deep ranking and retrieval models. Lead product development for zero-state prompt discovery, contextual suggestions, session resume modules ("Pick Up Where You Left Off"), and proactive daily routines. Partner with Growth and Notification Platform teams to build ML-driven targeting, personalized delivery windows, and lifecycle campaigns that drive incremental daily active users (DAU).
Collaborate with cross-Google teams (Search, YouTube, Workspace) to safely and privacy-compliantly leverage rich ecosystem signals, knowledge graph entities, and semantic embeddings. Establish the metrics hierarchy balancing short-term click engagement (CTR) with downstream conversation depth, response quality, and long-term user persistence.
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