Job 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. 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $152000 - $221000 (USD) + 42.86% bonus target + equity + benefits Learn more about benefits at Google . • 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. • 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. 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.

Requirements

Must-haves

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Learn more about benefits at Google .
Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
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.
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.
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.

Nice-to-haves

US: $152000 - $221000 (USD) + 42.86% bonus target + equity + benefits
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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaiml

Platform: google
Effort: medium