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Product Manager, Data Indexing, AI Foundations

Google • Full-time • San Jose, California, United States • $163k - $236k / year • 7h ago

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
5 years of experience in product management, or a related technical role.
2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
Experience integrating generative AI tools or LLM interfaces into workflows.
Experience building and scaling developer platforms, developer-facing APIs/SDKs, or general backend infrastructure (e.g. for search or AI applications).

Preferred qualifications:

Master's degree in a technology or business related field.
2 years of experience in software development or engineering.
1 year of experience in technical leadership.
Experience with data processing using Large Language Models (LLMs), Model Development, Model Training, Retrieval-Augmented Generation (RAG).
Exceptional cross-functional leadership skills, with the ability to influence without authority across engineering, research, and product areas.
Excellent problem solving skills, with the ability to define user journeys and success metrics.

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.

This new AI development phase demands radically innovating how we acquire, process, and index fresh, high-quality multimodal data. Raw, web-scale crawled data must become trusted, structured data to fuel Large Language Model (LLM) training and enable agentic applications to retrieve and reason over context.

As a Product Manager, you will define the strategy for our planet-scale data processing platform. In this role, you will evolve multimodal pipelines to power Google's core AI models, Gemini, and next-generation agents. Partnering with technical leaders, Directors, and teams across Google's marquee businesses, you will bridge technology and governance to build the foundational data stack shaping the future of AI.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

Gain a deep understanding of the evolving data requirements for Google Search, Large Language Models (LLMs), RAG applications, and other information retrieval clients to inform the native multimodal data pipelines strategyusing AI-based signal processing technologies.
Build and manage an actionable roadmap that accelerates model development by Google DeepMind researchers, AI adoption by Google’s marquee businesses.
Take technical products from conception to launch by driving execution to achieve desired business impact.
Partner across the Product Management, Engineering, Program, Research and Customer Engagement partners to align priorities, influence decisions and remove execution blockers.

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