Forward Deployed Engineering Manager, Generative AI, Google Cloud

Google Cloud is hiring a Manager for a Generative AI Forward Deployed Engineering (FDE) team that bridges frontier AI products and production-grade customer deployments. The team codes, debugs, and jointly deploys bespoke agentic solutions within customer environments, collaborating closely with Product, Engineering, and Google Cloud Regional Sales leadership. Employees have access to advanced AI tools including frontier Gemini models, the Vertex AI platform, and DeepMind's engineering and research experts.

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 8 years of experience as a sales engineer or technical consultant in a cloud computing or customer-facing role.
• 2 years managing a software engineering or similar customer-facing technical team in a cloud computing environment.
• Experience in Python or similar coding language.
• Experience developing AI/Generative AI solutions utilizing AI tools or designing multi-agent workflows or RAG systems.

Preferred qualifications:

• Master’s or PhD in AI, Computer Science, or related technical field.
• Experience designing secure, observable multi-agent systems with complex design patterns (e.g., ReAct, self-reflection).
• Experience designing interfaces prioritizing context engineering, transparency, and user trust.
• Experience architecting AI solutions within complex infrastructures ensuring data sovereignty and secure governance.
• Experience performing discovery interviews to translate business problems and AI constraints for C-suite and technical teams.

• 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 to key accounts.
• Lead technical hiring for FDE, evaluating AI/ML expertise, systems engineering, and coding skills.
• Identify skill gaps in emerging technologies such as model context protocol (MCP), tool-calling, and foundation models to maintain subject matter expertise.
• Collaborate with Product and Engineering teams to resolve blockers, translate field insights into roadmaps, and build internal tools to improve efficiency.

Google is an equal opportunity workplace and affirmative action employer committed to equal employment regardless of protected statuses. Accommodations are available for applicants with disabilities or special needs.