Engineering Manager, AI Platforms & Agent Cloud

Google; New York (NY); On-site; USD 207,000 - 300,000; Full time

Job summary

Google is seeking a Software Engineering Manager to lead a high-impact team of engineers across multiple Google Cloud initiatives. You will guide technical strategy, mentor engineers, and ensure robust delivery across cross-functional teams in information retrieval, AI, NLP, and large-scale systems.

You will manage goals, contribute to product direction, and help develop your team while aligning with enterprise-grade platforms.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 3 years of experience in a technical leadership role.
• 2 years in people management or team leadership.
• Experience integrating generative AI tools or LLM interfaces into workflows.

Responsibilities

• Lead a high-impact team of Software Engineers responsible for architecting, expanding, and maintaining the cross-product end-to-end testing platform and quality gates for Google’s next-generation agentic ecosystem.
• Be at the critical intersection of Agent Cloud, Agent Platform, Gemini Enterprise, and Workspace.
• Empower partner engineering teams to ship agentic features rapidly with complete confidence, establishing automated release gates that prevent regressions from ever reaching production or enterprise customers.

Skills

Software development experience

Technical leadership experience

People management experience

AI tools integration

Agentic experiences

GCP / Google Cloud knowledge

Stakeholder management

Customer focus

Education

Bachelor’s degree or equivalent practical experience

8 years software development experience

3 years in technical leadership

2 years in people management or team leadership

Job description

Google is seeking a Software Engineering Manager to lead a high-impact team of engineers across multiple Google Cloud initiatives. You will guide technical strategy, mentor engineers, and ensure robust delivery across cross-functional teams in information retrieval, AI, NLP, and large-scale systems.

You will manage goals, contribute to product direction, and help develop your team while aligning with enterprise-grade platforms.