Platform Customer Engineer, Healthcare and Life Sciences, Google Cloud

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 Customer Engineer, you will partner with technical Sales teams as a subject matter expert in Artificial Intelligence and Machine Learning (AI/ML) to differentiate Google Cloud to customers. You will help prospective, 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-concepts, and troubleshoot any technical questions and roadblocks. You will engage with customers to understand their business and technical requirements, and present practical and useful solutions on Google Cloud. You will partner with internal engineering stakeholders to improve products and build solutions, optimizing for results when in production and identifying ways to multiply your impact and the impact of the team as a whole.

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 + equity + benefits

Learn more about benefits at Google.

• Own the technical account plan and strategy by participating in planning and supporting targeted sales motions.
• Leverage combined expertise in sales, programming, and solutions architecture to demonstrate the value of Google Cloud Platform through complex demos, pilots and in-depth workshops.
• Design cross-pillar solutions, secure technical wins, define initial delivery plans for customers, and lead technical engagement throughout the solution phase.
• Support the post-sales transition by managing 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.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Experience engaging with, or presenting to, technical stakeholders or executive leaders.
• Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms.
• Experience in programming languages, debugging, systems design, prototyping, demos, or customer workshops.
• Experience with machine learning model development and deployment.

Preferred qualifications:

• Experience in one or more of the following areas: Infrastructure Modernization, Application Modernization, Data Management, Data Analytics, Cloud AI, Security, Networking, Migrations, or SAP.
• Experience managing the entire sales cycle.
• Experience building long-term technical strategies to uncover new workloads with customers.
• Experience in defining the delivery and consumption plan and transitioning it for execution.
• Experience in migrating applications and services to cloud platforms.
• Experience with security concepts such as encryption, identity management, access control, attack vectors, and pen testing.