Forward Deployed Engineering Manager, Google Cloud Consulting
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Experteer Overview As Manager of the Google Cloud Consulting - Forward Deployed Engineering team, you lead a squad delivering production-grade AI/ML solutions inside customer environments. You provide technical mentorship, align across Product, Engineering, and Sales, and drive end-to-end deployments of agentic systems. You tackle data readiness, integration, and state-management challenges to achieve enterprise-grade maturity. This role combines hands-on coding with leadership to shape impactful AI deployments. Pay / Benefits * rule as technical lead: establish code standards, architectural best practices, and engineering benchmarks * partner with sales and tech leadership to define requirements and deploy topic-specific experts (MLOps, GenMedia, or Agentic systems) to key accounts * lead technical hiring for FDE to build a capable AI/ML engineering squad * identify skill gaps in emerging tech (Model Context Protocol, tool-calling, foundation models) and maintain expertise across the AI stack * collaborate with product and engineering to remove blockers and translate field insights into roadmaps; build internal tools to drive efficiency Tasks * 8 years in cloud computing or a technical customer-facing role with Python * 2 years managing a software engineering/forward deployed engineering team in a cloud environment * experience developing AI/Generative AI solutions with multi-agent workflows and RAG systems * experience in people management Key requirements *
Requirements
Experteer Overview As Manager of the Google Cloud Consulting - Forward Deployed Engineering team, you lead a squad delivering production-grade AI/ML solutions inside customer environments. You provide technical mentorship, align across Product, Engineering, and Sales, and drive end-to-end deployments of agentic systems. You tackle data readiness, integration, and state-management challenges to achieve enterprise-grade maturity. This role combines hands-on coding with leadership to shape impactful AI deployments. Pay / Benefits * rule as technical lead: establish code standards, architectural best practices, and engineering benchmarks * partner with sales and tech leadership to define requirements and deploy topic-specific experts (MLOps, GenMedia, or Agentic systems) to key accounts * lead technical hiring for FDE to build a capable AI/ML engineering squad * identify skill gaps in emerging tech (Model Context Protocol, tool-calling, foundation models) and maintain expertise across ap _ AI stack * collaborate with product and engineering to remove blockers and translate field insights into roadmaps; build internal tools to drive efficiency Tasks * 8 years in cloud computing or a technical customer-facing role with Python * 2 years managing a software engineering/forward deployed engineering team in a cloud environment * experience developing AI/Generative AI solutions with multi-agent workflows and RAG systems * experience in people management Key requirements *
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