Forward Deployed Engineering Manager III, GenAI, Google Cloud

MINIMUM QUALIFICATIONS:

* Bachelor’s degree in Engineering, Computer Science, a related field, or

equivalent practical experience.

* 8 years of experience in cloud computing or a technical customer-facing role.

* 2 years of experience managing a software engineering, FDE, or similar

technical customer-facing team in a cloud computing environment.

* Experience in Python or similar coding languages.

* Experience developing AI/GenAI solutions utilizing AI tools, or designing

multi-agent workflows or RAG systems.

PREFERRED QUALIFICATIONS:

* Master’s degree or PhD in AI, Computer Science, or a related technical field.

* Experience designing end-to-end secure, observable multi-agent systems using

complex design patterns (e.g., ReAct, self-reflection), state management, and

tool-calling protocols.

* Experience designing intuitive interfaces for complex AI and agentic systems,

prioritizing context engineering, transparency, and explainability to foster

user trust.

* Experience architecting AI solutions within complex infrastructures, ensuring

data sovereignty and secure governance.

* Experience performing discovery interviews to identify business problems and

translate complex hardware/AI constraints for C-suites and technical teams.

ABOUT THE JOB:

As a Manager of a GenAI Forward Deployed Engineering (FDE) team, you will lead

AI/ML engineers who bridge the gap between frontier AI products and

production-grade reality within customers. You are responsible for a team that

doesn't just consult, but codes, debugs and jointly deploys bespoke agentic

solutions directly within customer environments.

In this role, you will

• provide
• technical mentorship to your team while balancing high-level strategic alignment
• with product, engineering, and Google Cloud Regional Sales leadership. Your
• mission is to empower and unblock your team as they resolve production-level
• obstacles, including data readiness issues, integration complexities, and
• state-management challenges that hinder AI from achieving enterprise-grade
• maturity.It's an exciting time to join Google Cloud’s Go-To-Market team, leading
• the AI revolution for businesses worldwide. You’ll excel by leveraging Google's
• brand credibility—a legacy built on inventing foundational technologies and
• proven at scale. We’ll provide you with the world's most advanced AI portfolio,
• including frontier Gemini models, and the complete Vertex AI platform, helping
• you to solve business problems. We’re a collaborative culture providing direct
• access to DeepMind's engineering and research minds, empowering you to solve
• customer challenges. Join us to be the catalyst for our mission, drive customer
• success, and define the new cloud era—the market is yours. Individual pay is
• determined by factors including job-related skills, experience, and relevant
• education or training.
• US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
• Learn more about benefits at Google
• [https://www.google.com/about/careers/applications/benefits/].
• RESPONSIBILITIES:
• * Serve as the technical lead, establishing code standards, architectural best
• practices, and benchmarks to elevate engineering excellence across the team.
• * Partner with sales and tech leadership to define requirements for high-value
• opportunities, deploying specialized experts (MLOps, GenMedia, or Agentic
• systems) to key accounts.
• * Lead technical hiring for FDE, evaluating AI/ML expertise, systems
• engineering, and coding skills to build an exceptional engineering team.
• * Identify skill gaps in emerging tech (MCP, tool-calling, and foundation
• models), ensuring the team maintains subject matter expertise in an evolving
• AI stack.
• * Collaborate with product and engineering to resolve blockers and translate
• field insights into roadmaps while building internal tools to drive
• organizational efficiency.