About the job

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

Google Search is undergoing a generational transformation. We are harnessing the latest advancements in artificial intelligence (AI) to fundamentally evolve the search experience through AI Overviews and AI Mode, delivering on our mission like never before. Through these transformative AI products, we are delivering the most helpful, personal, and accurate information for people in ways that were never before possible. In this role, you will architect the personal intelligence layer that will deliver the most personal and helpful AI experiences.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

The US base salary range for this full-time position is $240,000-$334,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Oversee the development of systems that dynamically surface the most relevant information to ground AI responses while maintaining strict privacy and security standards.

• Define the strategy for persistent intelligence systems that allow the AI to learn from interactions over time and maintain a consistent, evolving understanding of the user.

• Ensure the personalization layer serves as a platform for future sophisticated AI behaviors, enabling them to act with a deep understanding of user preferences and constraints.

• Manage the critical trade-offs between AI quality and response speed, leading strategies to ensure high-quality personalized experiences without compromising speed.

• Lead the product experience for how users interact with and manage their personal intelligence, creating intuitive interfaces for users to view, refine, and curate their preferences.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.

• 10 years of experience in product management, including experience with personalization.

• 5 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc).

Preferred qualifications

• Experience in designing and scaling evaluation frameworks for non-deterministic AI systems, including the development of multi-dimensional metrics, automated rating systems, and high-fidelity human-in-the-loop pipelines.

• Experience driving iterative quality improvements, optimizing for response formatting and accuracy, and managing the various trade-offs of real-time artificial intelligence (AI) systems at scale.

• Understanding of frontier AI architectures, including advanced retrieval methods, modeling techniques, and the nuances of AI systems.

• Ability to translate AI research into highly stable, consumer-facing products for large global audiences.