Gemini Enterprise for Customer Experience Customer Engineer - Multiple Teams

• Help prospective customers and partners understand the power of Google Cloud, explain technical features, help customers design architectures, and problem-solve any potential roadblocks.
• Share in-depth Artificial Intelligence (AI) 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.
• Demonstrate the business value of Google Cloud applied artificial intelligence solutions that meet, enhance, and innovate for our enterprise customers.
• 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.

Minimum qualifications:

• Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
• 6 years of experience with cloud native architecture in a customer-facing or support role.
• 2 years of experience with conversational AI technology.
• Experience building or leveraging artificial intelligence solutions or ML APIs and developing applications utilizing AI methods or frameworks.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.
• Ability to communicate in Japanese and English fluently to interact with internal and external stakeholders.

Preferred qualifications:

• Experience with contact center technologies and platforms and building conversational applications.
• Experience with building and using AI (e.g., ML APIs, Machine Learning templates, RAG, LLMs).
• Experience in coding using Java, C++, or Python.
• Experience with document and image AI.
• Passion for technology and innovation.
• Ability to travel up to 20% of the time.

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.

In this role, you will partner with technical Sales teams as an applied artificial intelligence subject matter expert 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 issues, engage in proofs of concept, and troubleshoot any technical questions and roadblocks related to Google’s first-party generative artificial intelligence solutions for customer experience applications. You will engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud.

You will be a part of a team of fellow Googlers working in an environment of respect and 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 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.

Google welcomes people with disabilities.

• Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
• 6 years of experience with cloud native architecture in a customer-facing or support role.
• 2 years of experience with conversational AI technology.
• Experience building or leveraging artificial intelligence solutions or ML APIs and developing applications utilizing AI methods or frameworks.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.
• Ability to communicate in Japanese and English fluently to interact with internal and external stakeholders.