The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
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 issues. You will troubleshoot technical questions and roadblocks, engage in proofs of concepts and demos, and use your expertise to architect cross-pillar cloud solutions that solve these business issues. You will drive the technical win and define the delivery and consumption plans. You will use your 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 pen testing within existing ones. You will have a breadth of technical expertise, spanning infrastructure modernization, application modernization, data analytics and more.
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 - $222000 (USD) + 42.86% bonus target + bonus + equity + benefits
Learn more about benefits at Google.
Responsibilities
- 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 show the value of Google Cloud Platform across the portfolio through demos, pilots and in-depth workshops.
- Architect cross-pillar 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.
Qualifications
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 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.
Preferred qualifications:
- Experience selling technical solutions in one or more of the following: infrastructure modernization, application modernization, data management, data analytics, cloud AI, networking, migrations, security.
- Experience migrating applications and services to cloud platforms.
- Experience with machine learning model development and deployment, as well as with frameworks for deep learning (e.g., TensorFlow, Jax, Ray, etc.) and using machine learning APIs.
- Experience with platform engineering (e.g., Infrastructure-as-Code, automation, image management, or repository management), virtual machine concepts, or container concepts.
- Experience with developing scalable architectures using API management, microservice frameworks, and PaaS.