Forward Deployed Engineering (FDE) Manager, Google Public Sector

Job description

Serve as the ultimate 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 direct coding skills to build an engineering squad. 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. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience. 8 years of experience as a sales engineer or technical consultant in a cloud computing environment or in a customer-facing role. 5 years of experience managing a Software Engineering, Forward Deployed Engineering (FDE) or a similar direct 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. Must possess an active Top Secret/SCI Security Clearance. Preferred Qualifications: Master’s degree or PhD in AI, Computer Science, or a related technical field. Experience in architecting AI solutions within complex infrastructures, ensuring data sovereignty and secure governance. Experience either working within or managing across the Public Sector space (Federal and SLED markets). Expertise in designing intuitive interfaces for complex AI and agentic systems, prioritizing context engineering, transparency, and explainability to foster user trust. Ability to design end-to-end secure, observable multi-agent systems using complex design patterns (ReAct, self-reflection,etc), state management, and tool-calling protocols.