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Customer Engineer III, AI​/ML, Mid-Market Enterprise, Cloud

Job in Town of Montana, Buffalo County, Wisconsin, USA
Listing for: Google
Full Time position
Listed on 2026-10-14
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 152000 - 221000 USD Yearly USD 152000.00 221000.00 YEAR
Job Description & How to Apply Below
Position: Customer Engineer III, AI/ML, Mid-Market Enterprise, Google Cloud
Location: Town of Montana

Customer Engineer III, AI/ML, Mid-Market Enterprise, Google Cloud Location

San Francisco, CA, USA;
Atlanta, GA, USA;
Austin, TX, USA;
Chicago, IL, USA;
New York, NY, USA; +4 more; +3 more

Experience Level

Advanced

Overview

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 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 a part of a team of fellow Googlers working in an environment of respect where we promote equal opportunities to succeed.

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.

Pay Information

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Salary Range

US: $152,000 - $221,000 (USD) + 42.86% bonus target + equity + benefits

Benefits

Learn more about benefits at Google.

Minimum Qualifications
  • 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.
Preferred Qualifications
  • 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.
Responsibilities
  • 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…
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