Drimva

Google

Product Manager, Multimodal Data Pipelines, AI Foundations

San Jose, CA, USA · Manager · Full-time · Posted Oct 20, 2026

Experience
5 years in product management or a related technical role; 2 years taking technical products from conception to launch. Preferred: 2 years in software development or engineering; 1 year in technical leadership.
Education
Bachelor's degree or equivalent practical experience; preferred Master's degree in a technology or business related field.

About the job

Define the strategy and roadmap for multimodal data pipelines that turn web-scale data into structured data for Google’s AI models, Search, and agentic applications.

What you'll do

  • Set the strategy for native multimodal data pipelines based on data needs across Search, LLMs, RAG, and information retrieval.
  • Build and manage a roadmap that accelerates model development and AI adoption.
  • Lead technical products from conception to launch and align cross-functional teams to resolve execution blockers.

What they ask for

  • 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.
  • Experience integrating generative AI tools or LLM interfaces into workflows, and building and scaling developer platforms, APIs/SDKs, or backend infrastructure.

Nice to have

  • 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 RAG.

Pay

$163000 - $236000 (USD) base salary

Tools

Large Language Models (LLMs), RAG, Retrieval-Augmented Generation (RAG), Gemini, APIs/SDKs

AI focus

Develop multimodal data pipelines and use AI-based signal processing to prepare data for LLM training, RAG, Search, and agentic applications; experience integrating generative AI tools or LLM interfaces is required.

Model-written summary · the original posting is authoritative

First seen Oct 21, 2026 · Last verified Nov 5, 2026 (UTC)