30 days ago
Cloud AI Customer Engineer, Telco and Gaming
On Site
Full Time
$151,000
Addison, TX
Job Overview
Job TitleCloud AI Customer Engineer, Telco and Gaming
Job TypeFull Time
Offered Salary$151,000
LocationAddison, TX
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Job Description
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 Practice Customer Engineer (CE) for Telco and Gaming (T&G) with a specialty in Cloud AI, you will partner with technical sales teams to differentiate Google Cloud to our customers. You will serve as a technical expert responsible for accelerating technical wins and adoption of specialized workloads. You will leverage your expertise in our product areas, in partnership with Platform CEs, and you will be writing code to develop prototypes, proofs-of-concept, and demos to sell new, highly specialized solutions to customers. You will solve Artificial Intelligence (AI)-centered customer issues and provide a critical feedback loop to influence product development. You will have excellent organizational, communication, and presentation skills, engaging with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will blend sales prowess, market knowledge, and technical engagement to prove the value of the Google Cloud portfolio. The US base salary range for this full-time position is $105,000-$151,000 + 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
- Drive the technical win for workloads within Cloud AI to ensure adoption, primarily supporting the sales cycle from technical evaluation through customer ramp.
- Combine sales strategies and development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts.
- Provide technical consultation to customers, acting as a technical advisor and building lasting customer relationships.
- Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-To-Market team.
- Work within product and engineering management systems to document, prioritize and drive resolution of customer feature requests and issues.
Key skills/competency
- Cloud AI Customer Engineer
- Cloud Native Architecture
- Machine Learning Model Development
- AI Agent Orchestration
- Large Model Integration
- Technical Stakeholder Engagement
- Google Cloud Platform
- Customer-Facing Prototyping
- Telco and Gaming Industries
- AI Solution Design
How to Get Hired at Google
- Tailor your resume: Highlight experience with cloud-native architecture, ML model development, and AI agent frameworks relevant to the Cloud AI Customer Engineer role at Google.
- Showcase technical skills: Emphasize your ability to develop prototypes, conduct customer-facing workshops, and integrate large models via APIs and RAG.
- Demonstrate customer focus: Provide examples of how you've engaged with technical stakeholders and executive leaders to solve complex problems.
- Prepare for technical interviews: Brush up on cloud-native concepts, ML deployment, and AI agent orchestration for Google Cloud challenges.
- Research Google's culture: Understand Google's values and commitment to innovation in AI and cloud computing.
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