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X Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Austin, TX, USA.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 6 years of experience with cloud computing and delivering presentations.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.

Preferred qualifications:

• Experience navigating AI infrastructure consumption models and optimizing high-throughput training/inference clusters.
• Experience implementing multi-agent systems using frameworks (e.g., A2A, LangGraph, CrewAI, AutoGen).
• Experience navigating the startup life-cycle, from initial prototyping with AI Studio to scaling and achieving product-market fit on Vertex AI.
• Experience working with, and a passion for, the high-growth startup ecosystem and its typical rapid-scaling issues.
• Knowledge of "LLM-native" performance metrics (TTFT, tokens/sec, cost-per-request) and techniques for optimizing state management, quantization, and provisioned throughput.
• Ability to implement secure agentic workflows incorporating MCP, tool-calling, and enterprise-grade authentication.

About the job

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.

As a Customer Engineer (CE), you will partner with technical Sales teams to differentiate Google Cloud to our customers. You will serve as the customer's primary technical partner and trusted advisor, engaging in technical-led conversations to understand their business issues. You will troubleshoot technical questions and roadblocks, engage in proofs of concepts and demos, and use your expertise to architect cross-pillar cloud solutions that solve these business issues. You will drive the technical win and define the delivery and consumption plans. You will use your presentation skills to engage with technical and business leaders, and persuasively present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills.

You will focus on identifying, pursuing, and winning new business workloads and driving penetration within existing ones. You will have a breadth of technical expertise, spanning infrastructure modernization, application modernization, data analytics and more. You will blend sales expertise, market knowledge and direct technical engagement to prove the value of the Google Cloud portfolio.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $127000 - $185000 (USD) 42.86% bonus target equity benefits

Learn more about benefits at Google .

Responsibilities

• Develop and own the technical account plan and strategy, participating in planning and supporting targeted sales motions.
• Combine sales, programming, and solutions architecture expertise to prove the value of Google Cloud Platform across the portfolio through complex demos, pilots and in-depth workshops.
• Architect cross-pillar solutions, drive technical wins, and define initial delivery plans for customers; continue to lead the technical engagement in the solution phase.
• Facilitate the post-sales transition by supporting pricing activities and transitioning the final delivery plan to implementation teams.
• Maintain awareness of progress against the delivery plan, providing support to cross-functional teams during ramp, delivery, migration or implementation phases.