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Partner Engineer Specialist, Machine Learning and Artificial Intelligence

Google

Education
Responsibilities
Benefits
Skills

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 10 years of experience with cloud architecture in a partner-facing or support role.
  • Experience with Machine Learning and Artificial Intelligence technologies.
  • Experience in designing and building architectures and migration of workloads to cloud environments.
  • Experience engaging with and presenting to technical stakeholders and executive leaders.

Preferred qualifications:

  • Experience in building strategic business partnerships.
  • Experience working with partners and customers as architect or delivery roles providing solutions.
  • Ability to communicate in Mandarin or Korean fluently to engage and support Mandarin or Korean speaking customers to navigate industry standards.
  • Excellent communication skills, with the ability to conduct partner CTO and technical discussions, engagements and manage multiple stakeholders.

About the Job

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 engineered 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.

As a Partner Engineer Specialist in Machine Learning and Artificial Intelligence, you will work closely with partner development managers and partner engineers to grow and support the Google Cloud Machine Learning and Artificial Intelligence partner ecosystem. You will understand the technical solutions and capabilities of our partners and recommend the right partner to our customers.

In this role, you will lead all the Machine Learning and Artificial Intelligence efforts to enable partners and with technical knowledge in Machine Learning and Artificial Intelligence technologies and solutions. You will contribute to customer adoption of Google Cloud by supporting partners as they illustrate how Google Cloud Machine Learning and Artificial Intelligence services can help customers innovate, bring their services to market faster, differentiate, and create new business growth streams. You will help partners succeed in the proof-of-concept, data migration, application migration and deployment phase.

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.

Responsibilities

  • Enable partners in prototyping and demonstrating product integrations and guiding customers through assessments of their existing legacy application environments. Support the partners developing solutions ensuring best use of Google Cloud Platform (GCP).
  • Work with partner managers and partner engineers to identify and recruit partners in the market that can deliver innovative and complete solutions to our customers.
  • Onboard partners to the marketplace and empower them to drive a pilot, proof-of-concept or production workloads.
  • Collaborate with partners to develop GCP specific solution documentation, joint technical articles, webinars, whitepapers, demos with ISV product and also recommend/review integration strategies, enterprise architectures, platforms and application infrastructure required to implement a complete solution on Google Cloud.
  • Promote the partner with account teams and develop partner relationships.
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