Customer Engineer, Data Analytics and Artificial Intelligence
About the job
SummaryBy Outscal
About the job:
As a Customer Engineer, Data Analytics and Artificial Intelligence, you will work closely with customers and partners to help them understand the power of Google Cloud and its AI solutions. You will identify and qualify business opportunities, manage technical relationships, and recommend integration strategies. You will also be responsible for developing and delivering technical presentations and demos, and resolving technical issues and roadblocks.
Must have:
- Bachelor's degree or equivalent practical experience
- 6 years of experience with cloud native architecture
- 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
Good to have:
- 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
- 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
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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About The Company
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
