About The Position

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products. As a Customer Engineer, you will partner with technical Sales teams to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business challenges, engage in proof-of-concepts, and troubleshoot any technical questions and roadblocks. You will use your expertise and presentation skills to engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will work closely with the Australian Google Cloud team and play a critical role in helping some major Australian software companies grow their business by leveraging Google Cloud.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.

Requirements

  • 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.
  • Experience with cloud infrastructure engineering, on-premise infrastructure engineering, virtualization, or containerization platforms.

Nice To Haves

  • Experience in pre-business or consulting for cloud computing, data, information life-cycle management, Big Data, and AI/ML environment.
  • Experience in working with start-ups, scale-ups, 'digital native' or software vendors.
  • Experience with frameworks for deep learning (e.g. PyTorch, Tensorflow, Jax, Ray, etc.), AI accelerators (e.g. TPUs, GPUs), model architectures (e.g. encoders, decoders, transformers), and using machine learning APIs.
  • Experience in applied AI technology.
  • Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.

Responsibilities

  • Collaborate with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
  • Share in-depth enterprise infrastructure modernization expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
  • Demonstrate and prototype Google Cloud products integrations in customer and partner environments.
  • Guide customers through assessments of existing legacy application environments and provide recommendations on a prioritization roadmap for infrastructure and application modernization.
  • Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution on Google Cloud.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Industry

Web Search Portals, Libraries, Archives, and Other Information Services

Number of Employees

5,001-10,000 employees

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