Role at a glance
- Salary
- Not Disclosed
- Location
- 강남파이낸스센터 22층), Seoul, South Korea
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 6+ years
- Education
- Bachelor's, Master's
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Qualifications
Required
- Bachelor's degree or equivalent practical experience.
- 6 years of experience with cloud native architecture in a customer-facing or support role.
- Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms.
- Experience engaging with, or presenting to, technical stakeholders or executive leaders.
- Experience in programming languages, debugging, systems design, prototyping, demos, or customer workshops.
- Ability to communicate in English and Korean fluently as this is a customer-facing role that requires interactions in English and Korean with local stakeholders.
Preferred
- Master's degree in Computer Science, Engineering, Mathematics, a technical field, or equivalent practical experience.
- Experience developing agents using frameworks like LangGraph, Semantic Kernel, or Google AI ADK.
- Knowledge of Observability constructs including Distributed Tracing, Logging, and Audit Logging for AI.
- Deep understanding of integration patterns using OpenAPI and Model Context Protocol (MCP) to connect AI agents with business systems and API gateways.
- Familiarity with functional evaluation metrics used to assess model quality and agent quality.
About the role
Original posting provided by 구글(Google)
About the role
As a Customer Engineer specializing in Gemini Enterprise, you will partner with technical Sales teams to differentiate Google Cloud to customers. You will serve as the technical authority on integrating Generative AI into complex enterprise environments, moving beyond simple chat interfaces to architecting secure, and data-connected solutions. You will engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will blend sales prowess, market knowledge, and technical engagement to prove the value of the Google Cloud AI portfolio.
What you'll do
• Drive technical wins for complex Gemini Enterprise workloads to ensure rapid adoption, supporting the sales cycle from evaluation through customer ramp, while recommending integration strategies, enterprise architectures, platforms, and application infrastructure for Google Cloud solutions.
• Combine sales strategies with direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from domain experts.
• Provide deep technical consultation on enterprise AI integration patterns, acting as a trusted advisor, using these engagements to build reusable GTM assets and channel critical customer feedback to Product and Engineering teams.
• Build and demonstrate integrations directly with Google Cloud products, leveraging Product and Engineering management systems to document, prioritize, and drive resolution of feature requests and issues.
• Travel to customer sites, conferences, and events as required, acting as a public advocate for Google Cloud.
Requirements
• Bachelor's degree or equivalent practical experience.
• 6 years of experience with cloud native architecture in a customer-facing or support role.
• Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms.
• Experience engaging with, or presenting to, technical stakeholders or executive leaders.
• Experience in programming languages, debugging, systems design, prototyping, demos, or customer workshops.
• Ability to communicate in English and Korean fluently as this is a customer-facing role that requires interactions in English and Korean with local stakeholders.
Preferred qualifications
• Master's degree in Computer Science, Engineering, Mathematics, a technical field, or equivalent practical experience.
• Experience developing agents using frameworks like LangGraph, Semantic Kernel, or Google AI ADK.
• Knowledge of Observability constructs including Distributed Tracing, Logging, and Audit Logging for AI.
• Deep understanding of integration patterns using OpenAPI and Model Context Protocol (MCP) to connect AI agents with business systems and API gateways.
• Familiarity with functional evaluation metrics used to assess model quality and agent quality.
Benefits
자세한 사항은 홈페이지 참고
About the company
구글(Google)
고도화된 검색 알고리즘과 데이터 처리 기술을 통해 전 세계의 방대한 정보를 체계화하여 누구나 쉽게 접근하고 활용할 수 있도록 돕는 글로벌 기술 기업입니다. 머신러닝 기술력을 검색, 지도, 유튜브 등 주요 서비스에 녹여내어 사용자가 필요한 정보를 가장 효율적으로 찾을 수 있는 디지털 환경을 구축하고 있습니다.