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 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 an Internet of Things (IoT) Product Specialist, you will become a trusted advisor to our clients and prospects and an expert advocate for our platform, who can help clients and prospects get as much value out of our platform as possible. Product Specialists maintain a comprehensive knowledge of the Google Cloud Platform (GCP) product and provide expert support to Sales Engineers on the most complex and innovative projects, using both technical and business skill sets to lead the project forward as efficiently as possible. You will collaborate with the wider GCP teams to help customers and partners architect IOT Solutions that leverage GCP. You will help customers in discover the technology/solution, how to implement it, optimize for results while keeping the customers’ success a priority.
Google Cloud helps millions of employees and organizations empower their employees, serve their customers, and build what’s next for their business — all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. And 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.
Work as part of the Sales team to identify and qualify platform opportunities. Identify business and technical requirements, conduct full technical discovery and architect client solutions to meet gathered requirements.
Take responsibility for leading the technical project including such activities as technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work and the coordination of supporting technical resources.
Work hands-on with Google for Work Cloud Platform products to demonstrate and prototype integrations in customer/partner environments.
Prepare and deliver product messaging in an effort to highlight Google Cloud Platform value proposition using techniques to include whiteboard and slide presentations, product demonstrations, white papers, trial management and RFI response documents.
Make recommendations on integration strategies, enterprise architectures, platforms and application infrastructure required to successfully implement a complete solution providing best practice advice to customers to optimize Google Cloud Platform effectiveness.
BA/BS degree in Computer Science, related software engineering field or equivalent practical experience.
Experience with multiple aspects of cloud computing (infrastructure, storage, platforms and data).
Experience with cloud based IoT suites.
Experience with edge computing and field gateways on the hardware/firmware side of the sensors market (embedded/real-time operating systems, driver/kernel development or short Range Wireless Communications).
Master’s degree in Computer Science or other relevant technical field.
Experience with Big Data, Platform-as-a-Service (PaaS) or Infastructure-as-a-Service (IaaS) technologies.
Experience serving as a technical sales engineer in a cloud computing environment or equivalent experience in a customer facing role (including working as a member of a professional services or systems engineering team).
Knowledge of the cloud market, market dynamics and customer buying behavior.
Ability to quickly learn, understand, and work with new and emerging technologies, methodologies, and solutions in the cloud/IT Technology space.
Caractéristiques de l'emploi
|Catégorie emploi||Big Data, Informatique|
|Qualification||Master en informatique|