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Google Cloud accelerates every organization’s ability to digitally transform its business and 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.

Requirements

• Experience with cloud native architecture in a customer-facing or support role.
• Experience with frameworks for deep learning (e.g., PyTorch, Tensorflow, Jax, Ray, etc.) and using machine learning APIs.
• Experience with machine learning model development and deployment.
• 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 as it relates to big data trends and issues within businesses.

Responsibilities

• Share in-depth 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.
• Assist fellow sales Googlers by problem-solving key technical issues for our customers.
• Liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.
• Help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business issues, engage in proof-of-concepts, and troubleshoot any technical questions and roadblocks.
• Partner with internal engineering stakeholders to improve products and build solutions, optimizing for results when in production and identifying innovative ways to multiply the impact of the team as a whole.

Other

• Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
• Travel to customer sites, conferences, and other related events as needed, acting as a public advocate for Google Cloud.
• Bachelor's degree or equivalent practical experience.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.
• Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.