Customer Engineer, Startups, Google Cloud, Customer Engineering

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Atlanta, GA, USA.

Minimum qualifications:

• 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-native architectures including compute, network, storage, security, machine learning or modern application development practices.
• Experience in conducting technical workshops, proof-of-concepts, and customer evaluations with executive leaders and stakeholders.

Preferred qualifications:

• Master’s degree in Computer Science, Engineering, Mathematics, a technical field, or equivalent practical experience.
• Experience with containers and associated technologies including Docker, Kubernetes, serverless architectures, and microservices.
• Experience with Artificial Intelligence (AI) Infrastructure (e.g.,GPUs/TPUs), architectures, and technologies.
• Experience with machine learning model development and deployment.

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, you will partner with technical Sales teams to differentiate Google Cloud to our Startup customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve 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 business and technical requirements, and present practical and useful solutions on Google Cloud.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.

The US base salary range for this full-time position is $125,000-$183,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Inspire customers and peers to solve difficult problems with novel solutions leveraging a set of technical competences.
• Work with the team to identify and qualify business opportunities, identify key customer technical objections, and develop a strategy to resolve technical blockers.
• Manage the technical relationship with customers, including managing product and solution briefings, proof-of-concept work, and the coordination of additional technical resources.
• Work with customers to demonstrate and prototype Google Cloud product integrations in customer/partner environments.
• Recommend migration strategies, enterprise architectures, migration tools, and cloud infrastructure required to successfully implement a complete solution using best practices on Google Cloud.

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