Minimum qualifications:
* Bachelor's degree or equivalent practical experience.
* 6 years of experience with cloud native architecture in a customer-facing or support role.
* Experience of building and deploying Generative AI solutions.
* Experience with Machine Learning and Data Analytics products.
* Experience engaging with and presenting to technical stakeholders and executive leaders.
Preferred qualifications:
* Master's degree in Computer Science, Engineering, Mathematics, a technical field, or equivalent practical experience.
* Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g.,deep learning, Long short-term memory (LSTM), convolutional networks).
* Experience in data and information management as it relates to big data trends and issues within businesses.
* Experience in architecting and developing software or infrastructure for scalable, distributed systems.
* Ability to learn, understand and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.
About the job
Through Google.org we invest millions each year in game-changing ideas to make the world a better place. We support innovative technologies and entrepreneurial approaches that take on tough human challenges and scale to help millions of people.
Responsibilities
* Help customers and partners in understanding the power of Google Cloud, explaining technical features and problem-solving any potential roadblocks.
* Work with the team to identify and qualify business opportunities, key customer technical objections, and develop the strategy to resolve technical blockers.
* Own the technical relationship with Google's customers, including managing product and solution briefings, proof-of-concept work, and the coordination of technical resources.
* Recommend integration strategies, enterprise architectures, platforms and application infrastructure required to successfully implement a complete solution using best practices on Google Cloud.
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