Product Manager, Multimodal Data Pipelines, AI Foundations

Google•San Jose, CA

4d•$163,000 - $236,000

About The Position

At Google, Product Managers guide products from conception to launch by connecting technical and business needs, breaking complex problems into steps, and collaborating across teams. Product Management works with engineers, designers, marketers, and others to analyze, position, package, promote, and tailor solutions to users. This role defines the strategy for a planet-scale data processing platform. It evolves multimodal pipelines that turn raw, web-scale crawled data into trusted, structured data for Google's core AI models, Gemini, and next-generation agents. The Product Manager partners with technical leaders, Directors, and teams across Google's businesses, bridging technology and governance to build foundational AI data infrastructure. The role is on Google's Core team, which builds and advocates for the technical foundations behind flagship products, including developer platforms, product components, and infrastructure. The team develops central solutions, reduces technical barriers, and strengthens systems across Google.

Requirements

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, such as ideation to execution or end-to-end development.
Experience integrating generative AI tools or LLM interfaces into workflows.
Experience building and scaling developer platforms, developer-facing APIs/SDKs, or general backend infrastructure, such as infrastructure for search or AI applications.

Nice To Haves

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 LLMs, model development, model training, or retrieval-augmented generation (RAG).
Exceptional cross-functional leadership skills and ability to influence without authority across engineering, research, and product areas.
Excellent problem-solving skills, including the ability to define user journeys and success metrics.

Responsibilities

Understand evolving data requirements for Google Search, LLMs, RAG applications, and other information-retrieval clients to inform strategy for native multimodal data pipelines using AI-based signal-processing technologies.
Build and manage an actionable roadmap that accelerates model development by DeepMind researchers and AI adoption by Google's marquee businesses.
Take technical products from conception to launch, driving execution to achieve desired business impact.
Partner across Product Management, Engineering, Program, Research, and Customer Engagement to align priorities, influence decisions, and remove execution blockers.