> Markdown version of [/jobs/ext/2588526-customer-engineer-iii-ai-ml-mid-market-enterprise-google-cloud](https://www.wearedevelopers.com/jobs/ext/2588526-customer-engineer-iii-ai-ml-mid-market-enterprise-google-cloud). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Customer Engineer III, AI/ML, Mid-Market Enterprise, Google Cloud - **Company:** Google LLC - **Location:** Austin, TX, United States - **Experience:** Experienced - **Salary:** $152,000.0 - $221,000.0 - **Contract:** Permanent contract - **Skills:** Adobe Creative Cloud, Artificial Intelligence, Cloud Computing, Google Cloud, Containerization, Cloud Migration - **Published:** August 21, 2026 - **Apply:** https://dejobs.org/x/x/52A90E6EB7C44A208364D405D85511E8/job/ ## About the Role Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. Share Customer Engineer III, AI/ML, Mid-Market Enterprise, Google Cloud info_outline XApplicants 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; Atlanta, GA, USA; Austin, TX, USA; Chicago, IL, USA; New York, NY, USA ., * Bachelor's degree or equivalent practical experience. * 10 years of experience with cloud native architecture in a customer-facing or support role. * Experience engaging with, and presenting to, technical stakeholders and executive leaders., * Experience building strategic business partnerships with customers in an architecture or solution delivery role. * Experience with Google Cloud AI/ML products and solutions. * Experience with virtualization or containerization platforms and migrating applications and services to cloud platforms. * Experience with networking and security concepts. * Experience managing multiple stakeholders, and working cross-functionally, in a collaborative, fast-paced environment. * Excellent communication skills, with experience conducting customer C-level/technical engagements., As a Customer Engineer, you will partner with technical Sales teams as a subject matter expert in Artificial Intelligence and Machine Learning (AI/ML) to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business challenges, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks. You will use your expertise and presentation skills to engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills. You will partner with internal engineering stakeholders to improve products and build solutions, optimizing for results when in production and identifying innovative ways to multiply your impact and the impact of the team as a whole. You will be ## Description 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., * Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers. * Share in-depth AI/ML expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud. * Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments. * Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution on Google Cloud. * Travel to customer sites, conferences, and other related events as required, acting as a public advocate for Google Cloud. ## Related Videos - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [Green Cloud Computing](https://www.wearedevelopers.com/videos/592-green-cloud-computing) - [Convincing Product teams to Adopt Gitops in a Large Org](https://www.wearedevelopers.com/videos/1936-convincing-product-teams-to-adopt-gitops-in-a-large-org) - [A Computer Is All You Need](https://www.wearedevelopers.com/videos/100142-a-computer-is-all-you-need) - [Leverage Cloud Computing Benefits with Serverless Multi-Cloud ML ](https://www.wearedevelopers.com/videos/78-leverage-cloud-computing-benefits-with-serverless-multi-cloud-ml) - [Architecting the Future: Leveraging AI, Cloud, and Data for Business Success](https://www.wearedevelopers.com/videos/1096-architecting-the-future-leveraging-ai-cloud-and-data-for-business-success) ## Related Articles - [Got AI ideas but no money? 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