Product Manager, Enterprise AI Data Governance

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

Job summary

Google is seeking a Product Manager to guide data-driven enterprise products from conception through launch within Corporate Engineering. You will bridge technical and business teams to craft AI-ready data solutions and scalable infrastructure that support Google's enterprise customers.

You will collaborate with engineers, designers, and stakeholders to align data accountability, privacy, and product strategy across domains, driving high-integrity data products for autonomous workflows.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in product management or related technical role.
• 2 years of experience taking software 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 or implementing AI/ML-driven features or infrastructure (e.g., working with LLMs, NLP, or data pipelines).

Responsibilities

• Deliver a compelling product roadmap for designated domains, transforming data into a unified, AI-ready asset.
• Organize cross-functional execution by prioritizing investments and defining feature direction for data accountability frameworks.
• Evaluate approaches to solve complex data lifecycle issues and establish proactive, cross-domain data excellence.
• Direct the resolution of technical, privacy, accountability, and design issues to ensure secure, high-integrity data.
• Build consensus across executive stakeholders and cross-functional partners to establish and enforce clear business and technical ownership of data.

Skills

Product management

End-to-end delivery

AI/ML workflow integration

Cross-functional collaboration

AI/LLM integration

Education

Bachelor's degree

Master's degree

Tools

APIs

Data pipelines

NLP

Job description

Google is seeking a Product Manager to guide data-driven enterprise products from conception through launch within Corporate Engineering. You will bridge technical and business teams to craft AI-ready data solutions and scalable infrastructure that support Google's enterprise customers.

You will collaborate with engineers, designers, and stakeholders to align data accountability, privacy, and product strategy across domains, driving high-integrity data products for autonomous workflows.