AI/ML Product Manager — Multimodal Data & LLM Platforms

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

Benefits offered by this job

Equity

Benefits

Job summary

Google in San Jose is seeking a Product Manager to guide products from conception to launch, connecting technical and business worlds. You will break down complex problems, define strategy for data pipelines, and drive initiatives across harassment of teams and stakeholders.

You will work with engineers, researchers, and product teams to deliver AI-enabled products that impact millions of users, with a focus on planet-scale data processing and responsible governance.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of product management or 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 developer platforms, developer-facing APIs/SDKs, or general backend infrastructure.

Responsibilities

• Gain a deep understanding of evolving data requirements for Google Search, LLMs, and RAG applications to inform multimodal data pipelines strategy.
• Build and manage a roadmap that accelerates model development and AI adoption across Google’s businesses.
• Take technical products from conception to launch by driving execution to achieve business impact.
• Partner across PM, Engineering, Program, Research, and Customer Engagement to align priorities and remove blockers.

Skills

Product management

End-to-end launches

AI integration

Developer platforms

Cross-functional leadership

Education

Bachelor's degree

Master's degree

Tools

APIs/SDKs

Backend infrastructure

Job description

Google in San Jose is seeking a Product Manager to guide products from conception to launch, connecting technical and business worlds. You will break down complex problems, define strategy for data pipelines, and drive initiatives across harassment of teams and stakeholders.

You will work with engineers, researchers, and product teams to deliver AI-enabled products that impact millions of users, with a focus on planet-scale data processing and responsible governance.