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 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 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 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 $149,000-$216,000 + 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
- 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.
Qualifications
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.
- Experience with development methodologies and modernizing legacy applications.
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.