Senior AI/ML Cloud Engineer — Customer Solutions

Google

Austin (TX)

On-site

USD 150,000 - 221,000

Full time

43 hours ago
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Job summary

Google is seeking a Customer Engineer to partner with technical Sales teams as a subject matter expert in Artificial Intelligence and Machine Learning for Google Cloud. You will help customers and partners understand the power of Google Cloud, develop cloud solutions, and engage in proofs of concepts while collaborating with product management to prioritize impactful solutions.

You will work with technical sales and engineering teams, presenting practical, scalable architectures and ensuring

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 10 years of experience with cloud native architecture in a customer-facing or support role.
  • Experience engaging with, and presenting to, technical stakeholders and executive leaders.

Responsibilities

  • Identify and qualify business opportunities and develop strategies to resolve technical blockers.
  • Share AI/ML expertise to support technical relationships with customers, including bid responses and briefings.
  • Demonstrate and prototype integrations with Google Cloud products in customer environments.
  • Recommend integration strategies and architectures to implement complete Google Cloud solutions.
  • Travel to customer sites, conferences, and events as required, representing Google Cloud.

Skills

Cloud native architecture
Executive communication
Stakeholder management

Education

Bachelor's degree or equivalent practical experience

Job description

Google is seeking a Customer Engineer to partner with technical Sales teams as a subject matter expert in Artificial Intelligence and Machine Learning for Google Cloud. You will help customers and partners understand the power of Google Cloud, develop cloud solutions, and engage in proofs of concepts while collaborating with product management to prioritize impactful solutions.

You will work with technical sales and engineering teams, presenting practical, scalable architectures and ensuring

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