Product Lead, AI Data Platforms & Acceleration

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

Job summary

Google is seeking a Product Manager to lead foundational data and AI infrastructure efforts. You will guide products from ideation to launch, bridging technical and business teams to deliver scalable data platforms that power AI apps.

Collaborating with engineering, research, and leadership, you will set strategy for data management, knowledge platforms, and AI data systems, enabling secure, reliable, and high‑impact generative AI at global scale.

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).
• Experience developing or launching products or technologies within AI/ML.

Responsibilities

• Lead the discovery and development of new tools, skills, and sub‑agents that address evolving data journeys.
• Build out and operationalize frameworks and analytics to improve velocity and precision of data insights.
• Define and deliver an outlook and strategy for this space through research and analysis of trends and opportunities in the agentic data space.
• Drive cross‑functional collaboration across teams to ensure successful product launches, adoption, and integration.
• Communicate effectively with stakeholders at all levels, including engineers, analysts, executives, and internal product partners.

Skills

PM experience

End-to-end lifecycle

AI/ML product experience

Stakeholder management

Education

Bachelor's degree or equivalent

Job description

Google is seeking a Product Manager to lead foundational data and AI infrastructure efforts. You will guide products from ideation to launch, bridging technical and business teams to deliver scalable data platforms that power AI apps.

Collaborating with engineering, research, and leadership, you will set strategy for data management, knowledge platforms, and AI data systems, enabling secure, reliable, and high‑impact generative AI at global scale.