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 Machine Learning model development and deployment.
Experience with frameworks for deep learning (e.g., PyTorch, Tensorflow, Jax, Ray, etc.) and using machine learning Application Programming Interfaces (APIs).
Preferred qualifications:
Master's degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience.
Experience in building machine learning solutions and leveraging machine learning architectures (e.g., Load Shedding and Traffic Management (LSTM), convolutional networks).
Experience in architecting and developing software or infrastructure for distributed systems.
Experience in data and information management related to big data trends and issues within businesses.
Ability to learn, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology environment.
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.
In this role, you will partner with technical business teams as a cloud subject matter expert to differentiate Google Cloud to the customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop cloud solutions and architectures to solve their business tests, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks. You will use the expertise and presentation skills to engage with customers to understand their business and technical requirements, and present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills. You will partner with internal engineering stakeholders to improve products and build solutions, optimizing for results when in production and identifying ways to multiply the impact and the impact of the team. You will have experience with Artificial Intelligence and Machine Learning (AI/ML) technologies, and Machine Learning Operations (M0LOps) practices. You will also have experience with networking, security, and cloud architectures.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.Responsibilities
Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
Share Artificial Intelligence (AI/ML) expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering with product management to prioritize solutions impacting customer adoption to Google Cloud.
Work with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement solution on Google Cloud.
Travel to customer sites, conferences, and other related events as required, acting as a public advocate for Google Cloud.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.