Full Job Description
Note: By applying to this position your application is automatically submitted to the following locations: Seattle, WA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA
Bachelor's degree in Computer Science, Electrical Engineering, or equivalent experience.
5 years of experience as a technical sales engineer in a cloud computing environment or in a customer-facing role within a Professional Services/Systems Engineering team.
Experience with big data, machine learning, and numerical programming frameworks (e.g., TensorFlow, Python, MATLAB).
Experience delivering technical pitches.
Master's degree in Computer Science or other technical field.
Experience in, and understanding of, data and information management as it relates to big data trends and issues within businesses.
Experience building and deploying Machine Learning and Deep Learning solutions with excellent foundations of the underlying models.
Experience architecting and developing software or infrastructure for scalable, distributed systems.
Knowledge of Retail technology solutions and ability to learn, understand, and work quickly with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space
About the job
The Google Cloud Platform team helps customers transform and evolve their business through the use of Google’s global network, web-scale data centers and software infrastructure. As part of an entrepreneurial team in this rapidly growing business, you will help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
As a Sales Engineer in the Retail vertical, you will work hand-in-hand with technical Sales teams as a machine learning subject matter expert to differentiate Google Cloud to our customers. You will help prospective customers and partners understand the power of Google Cloud, explaining technical features, helping customers design architectures, and problem-solving any potential roadblocks. Additionally, you will have the opportunity to help customers to leverage specialized machine learning (ML) hardware developed by Google (e.g., Tensor Processing Unit). In this role, you will work closely with customers and product development to shape the Tensor Processing Unit platform.
Google Cloud provides organizations with leading infrastructure, platform capabilities and industry solutions. We deliver enterprise-grade cloud solutions that leverage Google’s cutting-edge technology to help companies operate more efficiently and adapt to changing needs, giving customers a foundation for the future. Customers in more than 150 countries turn to Google Cloud as their trusted partner to solve their most critical business problems.
Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
Provide in-depth machine learning expertise to support the technical relationship with Google’s customers, including product and solution briefings and proof-of-concept work. Partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
Work hands-on with customers to demonstrate and prototype Google Cloud product integrations in customer/partner environments.
Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution using best practices on Google Cloud.
Travel to customer sites, conferences, and other related events.
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 this form.