Product Manager, AI Data Platform

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

Job summary

Google is seeking a Product Manager for Data Indexing in AI Foundations to guide products from concept to launch, bridging technical and business needs. You will drive end-to-end product development, collaborating with engineers, designers, and marketers to improve access to information.

The role focuses on evolving multimodal data pipelines, scaling developer platforms, and shaping the data stack for next-generation AI models. Strong leadership across teams is essential.

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 (e.g., ideation to execution, end-to-end, 0 to 1).
• Experience integrating generative AI tools or LLM interfaces into workflows.
• Experience building and scaling developer platforms, developer-facing APIs/SDKs, or general backend infrastructure (e.g. for search or AI applications).

Responsibilities

• Guide products from conception to launch by connecting the technical and business worlds.
• Break down complex problems into steps that drive product development.
• Collaborate with engineers, designers, marketers, and other stakeholders to design and develop technologies that improve access to information.
• Define strategy for planet-scale data processing platform and evolve multimodal pipelines for AI models.

Skills

Product management

End-to-end product

AI tools integration

Developer platforms

Education

Bachelor's degree or equivalent

Tools

APIs/SDKs

Job description

Google is seeking a Product Manager for Data Indexing in AI Foundations to guide products from concept to launch, bridging technical and business needs. You will drive end-to-end product development, collaborating with engineers, designers, and marketers to improve access to information.

The role focuses on evolving multimodal data pipelines, scaling developer platforms, and shaping the data stack for next-generation AI models. Strong leadership across teams is essential.