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Minimum qualifications:
- Experience as a technical sales engineer in a cloud computing environment or in a customer-facing role.
- Experience with cloud-based machine learning solutions and architectures.
- Experience coding in programming frameworks (e.g., Python or R) and machine learning frameworks (e.g., Tensorflow, Pytorch, Keras, etc).
- Experience with technical presentations and demos for decision makers.
Preferred qualifications:
- Experience directly designing, building, and operating machine learning solutions, leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks, etc.).
- Experience architecting and developing software or infrastructure for scalable, distributed systems.
- Experience leveraging cloud-based machine learning solutions.
- Ability to quickly learn, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.
- Ability to lead, inspire, and mentor others in the same area of expertise.
- Passion for MLOps approaches, conceptual related frameworks, and technical implementation approaches based on CI/CD.
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.
As a Customer Engineer Specialist for Machine Learning and Artificial Intelligence, you will work closely with different Sales teams as a ML/AI subject matter expert to position the value of 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. You will also help customers 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 TPU platform.
In this role, you will form part of a central and highly specialized technical team that engages directly with customers and partners with the focus to accelerate the usage of Cloud Conversational AI solutions on top of Google Cloud 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.
Responsibilities
- Identify and qualify business opportunities, understand key customer technical requirements or 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 directly 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.
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.
