GenAI Forward-Deployed Engineering Manager

Google; San Francisco (CA); On-site; USD 262,000 - 364,000; Full time

Benefits offered by this job

Equity

Bonus

Benefits

Job summary

Google is seeking a Manager of a GenAI Forward Deployed Engineering team in the Bay Area. You will lead AI/ML engineers delivering bespoke agentic solutions directly within customer environments, mentoring the team while aligning with Product, Engineering, and Google Cloud leadership.

You’ll build scalable AI capabilities with DeepMind collaboration, tackle data readiness, and guide enterprise-grade state management across complex deployments.

Qualifications

• Bachelor’s degree in Engineering, Computer Science, or related field, or equivalent practical experience.
• 8+ years in cloud computing or a technical customer-facing role.
• Experience in people management or leadership.
• Proficient in Python or similar coding languages.
• Experience developing AI/GenAI solutions or designing multi-agent workflows/RAG systems.

Responsibilities

• Serve as technical lead, set code standards and best practices.
• Partner with Sales and Tech Leadership to define requirements for high-value opportunities.
• Lead technical hiring for FDE, evaluate AI/ML and systems engineering skills.
• Identify skill gaps in emerging tech and maintain subject matter expertise.
• Collaborate with Product/Engineering to resolve blockers and drive roadmaps.

Skills

Python

Cloud computing

People management

GenAI

Education

Bachelor’s degree in Engineering or Computer Science

Equivalent practical experience

Master’s or PhD in AI/CS (preferred)

Job description

Google is seeking a Manager of a GenAI Forward Deployed Engineering team in the Bay Area. You will lead AI/ML engineers delivering bespoke agentic solutions directly within customer environments, mentoring the team while aligning with Product, Engineering, and Google Cloud leadership.

You’ll build scalable AI capabilities with DeepMind collaboration, tackle data readiness, and guide enterprise-grade state management across complex deployments.