Google Cloud is looking to solve the business problem of helping customers understand and implement cloud native architecture, machine learning, and AI solutions to drive digital transformation and business growth.
Requirements
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 APIs.
Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks).
Experience in architecting and developing software or infrastructure for scalable, distributed systems.
Experience in data and information management.
Ability to learn, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.
Responsibilities
Work with the team to identify and qualify business opportunities, understand customer technical objections, and develop the strategy to resolve technical blockers.
Share 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 directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
Work directly 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 successfully implement a complete solution on Google Cloud.
Lead proofs of concept, and troubleshoot technical issues.
Collaborate with internal engineering teams to improve products and build solutions that optimize results in production.
Design creative solutions and architectures to address customer business challenges.
Other
Bachelor's degree or equivalent practical experience.
6 years of experience in a customer-facing or support role.
Experience engaging with, and presenting to, technical stakeholders and executive leaders.
Travel to customer sites, conferences, and other related events as required.
Master's degree in Computer Science, Engineering, Mathematics, a technical field, or equivalent practical experience.
