Product Manager, Multimodal AI Data Pipelines & Foundations

Google LLC; San Jose (CA); On-site; USD 163,000 - 236,000; Full time

Job summary

Google seeks a Product Manager for Multimodal Data Pipelines in San Jose to guide products from conception to launch, connecting technical and business worlds and breaking down complex problems into executable steps.

You will evolve planet-scale data processing platforms to power Gemini and future AI agents, partnering with leaders across Google's marquee businesses to shape the data stack for AI.

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

Responsibilities

• Guide products from conception to launch by connecting technical and business worlds.
• Break down complex problems into steps that drive product development.
• Collaborate with engineers, designers, and marketers to design and develop technologies.
• Define strategy for planet-scale data processing platforms and evolving multimodal pipelines.
• Bridge technology and governance to build the foundational data stack for AI.

Education

Bachelor's degree or equivalent practical experience

Master's degree in technology or business related field

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

Experience building and scaling developer platforms, developer-facing APIs/SDKs, or general backend infrastructure

Cross-functional leadership

Strong problem-solving and user journey definition

Job description

Google seeks a Product Manager for Multimodal Data Pipelines in San Jose to guide products from conception to launch, connecting technical and business worlds and breaking down complex problems into executable steps.

You will evolve planet-scale data processing platforms to power Gemini and future AI agents, partnering with leaders across Google's marquee businesses to shape the data stack for AI.