Software Development · 330k people
Group Product Manager, Relevance, GeminiApp, DeepMind
Posted 28 Oct
What’s this role about? You will define and execute the product strategy for the Gemini Relevance Platform, evolving recommendation engines from rules-based to sophisticated deep ranking models. You will lead cross-functional teams to drive user engagement and personalization across the Gemini ecosystem.
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Company
About Google A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh
Responsibilities
- inventions. At Google DeepMind, we are a pioneering AI lab with exceptional
- interdisciplinary teams focused on advancing AI development to solve complex
- global challenges and accelerate high-quality product innovation for billions of
- users. We use our technologies for widespread public benefit and scientific
- discovery, ensuring safety and ethics are always our highest priority.
- We are pushing the boundaries across multiple domains. Our global teams offer
- diverse learning opportunities and varied career pathways for those driven to
- achieve exceptional results through collective effort.
- Individual pay is determined by factors including job-related skills,
- experience, and relevant education or training.
- 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.
Qualification
Required
- 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.
Preferred
- 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.
Benefits
- Bonus
- Equity
- Health Insurance
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