When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.
Securing engineering talent in the agentic era requires a highly targeted approach that prioritizes direct capability and technical curiosity.
As a Customer Engineer (CE), you will play a pivotal role in supporting the pre-sales lifecycle and technical validation phases. You will act as an early-career builder-CE establishing credibility and excitement by assembling, debugging, and spinning up rapid, real-time prototypes and interactive demos directly for customers.
In this role, you will partner closely with senior CEs and Sales teams to understand customer environments, map out their technical needs, and showcase the art of the possible across the full Google Cloud portfolio. As an AI-savvy, professional who is adept at leveraging AI tools, you will address all Platform CE topics across the entire portfolio.Your primary focus is supporting the technical win through customer intimacy, architecture advisory and execution. By maintaining a strong builder mindset, you will write clean demo code, troubleshoot API integrations, and help transition projects to post-sales teams to ensure customer workloads are successfully deployed and adopted.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Sweden: kr680000 - kr695000 (SEK) + 42.86% bonus target + equity + benefits
Learn more about benefits at Google.
- Help build creative solutions to challenging customer needs using Google Cloud. Improve product feature offerings by providing customer feedback to internal cross-functional teams including Product Management and Engineering.
- Collaborate with customers and other Googlers to manage and drive successful adoption of Google Cloud. Help develop recommendations for solution architectures and consulting services.
- Guide customers through the entire innovation lifecycle, building strategic roadmaps and driving achievement of key milestones.
- Solve customers' operational issues through problem solving and technical troubleshooting, while working with internal teams to drive resolution. Help customers get answers to product questions.
- Learn and adopt the latest AI, machine learning, and cloud technologies. Gather feedback from builders and developers in the field and share insights with Google Cloud Product and Engineering teams to help improve our developer tools.
Minimum qualifications:
- Bachelor's degree in Computer Science, a related STEM discipline (e.g., Computer Engineering, Information Systems), or equivalent practical experience.
- Experience programming or scripting in one or more modern languages (e.g., Python, Go, Java, C++) with experience in fundamental Data Structures and Algorithms (DSA).
- Experience working with databases (SQL or NoSQL), web technologies (APIs, HTTP), or cloud infrastructure through coursework, internships, personal projects, or professional experience.
Preferred qualifications:
- Experience participating in hackathons, contributing to open-source projects, or building and deploying personal applications/tools.
- Experience working with Large Language Model (LLM) APIs, prompt engineering, vector databases, or building basic Retrieval-Augmented Generation (RAG) applications or simple conversational agents.
- Experience communicating technical concepts clearly to different audiences.
- Experience working in collaborative environments (such as team projects, customer service, or technical residency programs) with an ability to adapt quickly to changing customer needs and new technical domains.
- Strong debugging skills and familiarity with configuring developer environments (e.g., using Docker or basic Linux command line tools).
- Bachelor's degree in Computer Science, a related STEM discipline (e.g., Computer Engineering, Information Systems), or equivalent practical experience.
- Experience programming or scripting in one or more modern languages (e.g., Python, Go, Java, C++) with experience in fundamental Data Structures and Algorithms (DSA).
- Experience working with databases (SQL or NoSQL), web technologies (APIs, HTTP), or cloud infrastructure through coursework, internships, personal projects, or professional experience.