Minimum qualifications:

　　Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.

　　5 years of experience as a sales specialist or technical consultant in a cloud computing environment.

　　Experience with big data, machine learning, and numerical programming frameworks (e.g., TensorFlow, Python, MATLAB).

　　Experience delivering technical presentations and demonstrations in an enterprise business environment.

　　Preferred qualifications:

　　Experience with technical sales or professional consulting in the fields of cloud computing, data, information lifecycle management, and Big Data.

　　Experience building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks).

　　Experience developing software or infrastructure for scalable, distributed systems.

　　Knowledge of cloud computing (e.g., infrastructure, storage, platforms, and data), cloud market, engaged dynamics, and customer buying behavior.

　　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 Technical Sales Specialist, you will work with Technical Sales teams as a machine learning subject matter expert to differentiate Google Cloud to our customers.

　　In this role, 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). You will work closely with customers and product development to shape the TPU platform.

　　Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. 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.

　　Work with the team to identify and qualify business opportunities, understand key customer technical objections and develop the strategy to resolve technical blockers.

　　Provide machine learning expertise to support the technical relationship with Google’s customers, including product and solution briefings, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud.

　　Work with customers to demonstrate and prototype Google Cloud product integrations in customer/partner environments.

　　Develop integration and migration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution on Google Cloud.

　　Travel to customer sites, conferences, and other related events as needed.

　　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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.