Product Manager, Multimodal AI Data Pipelines

Google LLC

San Jose (CA)

On-site

USD 163,000 - 236,000

Full time

33 hours ago
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Job summary

Google LLC is seeking a Product Manager for Multimodal Data Pipelines in AI Foundations to drive product strategy from conception to launch. You will design and scale data pipelines that fuel large language models and agentic applications across Google's AI platforms.

Work cross-functionally with engineers, researchers, and product teams to translate user needs into actionable roadmaps, define success metrics, and ensure robust, scalable backend data infrastructure.

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.

Responsibilities

  • Define strategy and roadmap for multimodal data pipelines powering Google's AI models.
  • Collaborate with engineers, researchers, and product teams to guide end-to-end product development.
  • Bridge technology and governance to build the foundational data stack shaping the future of AI.

Skills

Product management
Cross-functional leadership
AI tools integration
End-to-end product

Education

Bachelor's degree

Tools

APIs/SDKs
Backend infrastructure

Job description

Google LLC is seeking a Product Manager for Multimodal Data Pipelines in AI Foundations to drive product strategy from conception to launch. You will design and scale data pipelines that fuel large language models and agentic applications across Google's AI platforms.

Work cross-functionally with engineers, researchers, and product teams to translate user needs into actionable roadmaps, define success metrics, and ensure robust, scalable backend data infrastructure.

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