Product Manager, AI Foundations & Data Pipelines

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

Job summary

Google LLC in San Jose, CA is seeking a Product Manager for AI Foundations Data Engineering to own and scale critical data pipelines and AI infrastructure. You will guide products from ideation to launch, bridging technical and business needs, and work closely with engineering, UX, and AI teams.

The role emphasizes leading data-engineering technologies, coordinating with AI Foundations teams, and partnering with DeepMind researchers to speed model deployment in Google's AI ecosystem.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in product management or related technical role.
• 2 years of experience taking technical products from conception to launch.
• Experience managing backend infrastructure and distributed data pipelines.
• Experience integrating generative AI tools or LLM interfaces into workflows.

Responsibilities

• Own the end-to-end product lifecycle, strategy, and roadmaps for evolving data engineering technologies.
• Partner with stakeholders across Google and Alphabet to drive innovative solutions and grow products for emerging use cases.
• Collaborate with engineering teams to build frameworks and remove infrastructure bottlenecks.
• Enable researchers to deploy large-scale feature pipelines to accelerate product velocity.
• Collaborate with cross-functional product managers across AI Foundations to advance data product capabilities.

Skills

Product management

End-to-end product

Distributed data pipelines

Generative AI tools

Cross-functional work

Education

Bachelor's degree

Master's degree (preferred)

Tools

APIs

Data pipelines

Job description

Google LLC in San Jose, CA is seeking a Product Manager for AI Foundations Data Engineering to own and scale critical data pipelines and AI infrastructure. You will guide products from ideation to launch, bridging technical and business needs, and work closely with engineering, UX, and AI teams.

The role emphasizes leading data-engineering technologies, coordinating with AI Foundations teams, and partnering with DeepMind researchers to speed model deployment in Google's AI ecosystem.