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Forward Deployed Engineering Manager, GenAI, Google Cloud (Korean, English)
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Job updated about 8 hours ago
The employer was active 5 months ago
Job Description
Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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.
- 5 years of experience in a people management or team leadership 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, and experience with developing AI/GenAI solutions utilizing AI tools, or designing multi-agent workflows or Retrieval-Augmented Generation (RAG) systems.
- Ability to communicate in English and Korean fluently to support client relationship management in this region.
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 Artificial Intelligence/Machine Learning (AI/ML) engineers who bridge the gap between frontier AI products and production-grade reality within customers. You will be responsible for a team that doesn't just consult, but codes, debugs and jointly deploys bespoke agentic solutions directly within customer environments. You will provide deep-dive technical mentorship to your team while balancing high-level strategic alignment with Product, Engineering, and Google Cloud Regional Sales leadership. You will 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.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 (e.g., Machine Learning Operations (MLOps), GenMedia, or Agentic systems) to key accounts.
- Lead technical hiring for Forward Deployed Engineers (FDE), evaluating AI/ML expertise, systems engineering, and coding skills to build an exceptional engineering team.
- Identify skill gaps in emerging tech (e.g., Model Context Protocol (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.
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Negotiable
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Google
Information Services
> 5000 people
About us
Google’s mission is to organize the world‘s information and make it universally accessible and useful.
Since our founding in 1998, Google has grown by leaps and bounds. From offering search in a single language we now offer dozens of products and services—including various forms of advertising and web applications for all kinds of tasks—in scores of languages. And starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. A lot has changed since the first Google search engine appeared. But some things haven’t changed: our dedication to our users and our belief in the possibilities of the Internet itself.