Product area
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. 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.
Job description
The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
Additional job description
As a Practice Specialist, you will work with technical Sales teams as a machine learning subject matter expert to differentiate 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. In this role, you will work with customers and product development to shape the future of the AI platform.
Qualifications
Job responsibilities
- Work with the team to identify and qualify business opportunities, understand customer technical objections, and develop the strategy to resolve technical blockers.
- Support the technical relationship with Google’s customers including product and solution briefings, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
- Create and deliver technical content (e.g., best practices, tutorials, code samples, presentations) to enable customers and internal teams to leverage Google Cloud AI infrastructure effectively.
- Travel to customer locations and represent Google Cloud at conferences, meetups, and other industry events to share knowledge, network with peers, and stay current on the latest trends.
Minimum qualifications
- Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
- 6 years of 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 engaging with, and presenting to, technical stakeholders and executive leaders.
Preferred qualifications
- Experience with modern software development life-cycle methodologies and tools including commonly used Continuous Integration / Continuous Deployment, container orchestration and operations.
- Experience developing scalable architectures using API management, microservices frameworks, and PaaS.
- Experience with Google Cloud Platform (GCP) and Vertex AI.
- Ability to engage with C-level or executive business leaders and influence decisions.
- Ability to create prototypes/demos and articulate this to a customer audience, while integrating with existing systems.
