Customer Engineer II, AI Platform, Google Cloud

Develop and own the technical account plan and strategy, participating in planning and supporting targeted sales motions.Combine sales, programming, and solutions architecture expertise to prove the value of Google Cloud Platform across the portfolio through complex demos, pilots and in-depth workshops.Architect AI/ML solutions, drive technical wins, and define initial delivery plans for customers; continue to lead the technical engagement in the solution phase.Facilitate the post-sales transition by supporting pricing activities and transitioning the final delivery plan to implementation teams.Maintain awareness of progress against the delivery plan, providing support to cross-functional teams during ramp, delivery, migration or implementation phases.Minimum qualifications:Bachelor's degree or equivalent practical experience.6 years of experience with cloud native architecture in a customer-facing or support role.Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms.Experience engaging with, or presenting to, technical stakeholders or executive leaders.Experience in programming languages, debugging, systems design, prototyping, demos, or customer workshops.Ability to travel up to 50% of the time.Preferred qualifications:Experience selling technical solutions in one or more of the following:, Data Management, Data Analytics, Cloud AI.Experience driving the entire business cycle (e.g., defining the delivery and consumption plan and transitioning it for execution).Experience building long-term technical strategies to uncover new workloads with customers.Experience migrating applications and services to cloud platforms.As a Platform Customer Engineer (CE), you will partner with technical Sales teams to differentiate Google Cloud to our customers. You will serve as the customer’s primary technical partner and trusted advisor, engaging in technical-led conversations to understand their business challenges. You will troubleshoot technical questions and roadblocks, engage in building AI/ML proofs of concepts and demos, and use your expertise to architect cross-pillar cloud solutions that solve these business challenges. You will drive the technical win and define the delivery and consumption plans. You will use your strategic acumen and presentation skills to engage with technical and business leaders, and persuasively present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills.You will focus on identifying, pursuing, and winning new business workloads and driving penetration within existing ones. You will have a foundational technical expertise in modern Cloud infrastructure, with a deep expertise in Data and AI/ML. You will blend sales expertise, market knowledge and direct technical engagement to prove the value of the Google Cloud portfolio.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: $127000 - $184000 (USD) + 42.86% bonus target + equity + benefitsLearn more about benefits at Google.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Atlanta, GA, USA; Austin, TX, USA; Miami, FL, USA; Reston, VA, USA.Bachelor's degree or equivalent practical experience.6 years of experience with cloud native architecture in a customer-facing or support role.Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms.Experience engaging with, or presenting to, technical stakeholders or executive leaders.Experience in programming languages, debugging, systems design, prototyping, demos, or customer workshops.Ability to travel up to 50% of the time.