Solutions Architect, Machine Learning, Google Cloud

Google   •  

Portland, OR

Industry: Technology

  •  

Less than 5 years

Posted 170 days ago

This job is no longer available.

As a Solutions Architect with a core focus on Machine Learning (ML), you'll help prospective customers and partners understand the power and value of the ML capabilities of Google Cloud by explaining technical features, designing architectures, building proof-of-concept work and publishing advanced ML solutions. Since ML projects start with data, you will also use your practical knowledge of technologies and techniques involved in managing data at scale both operationally and analytically to help customers establish a foundation on which to build their ML solutions. You'll help customers optimize their use of our open-source ML software called TensorFlow and our specialized ML chipset called the Tensor Processing Unit (TPU). In this role you will have a very unique opportunity to work hand-in-hand with customers and Google engineers to shape the future of ML on Google Cloud.

A core responsibility is to work with our customers and Engineering teams to produce secure and scalable technical solutions and distribute them via different channels, including technical white papers, open-source repositories, webinars, videos, blogs, and live presentations. Your passion for technology, learning, and solving problems, along with your enthusiasm for working with customers will empower a diverse audience of decision makers to embrace the Google Cloud to build what’s next for their businesses.

As a member of this dynamic, exciting team, you will use your expertise in cloud technology to communicate directly with businesses of all types to help them seamlessly adopt Google products and solutions wherever they are on their cloud journey. You'll continuously explore and experiment with our advanced suite of products, partner tools, and third party applications to build and deploy cloud solutions that address customer use cases, all the while sharing valuable feedback with our product teams as you develop complex architectures, standard methodologies, and key strategies.

Google Cloud helps millions of employees and organizations empower their employees, serve their customers, 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. And 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.

Responsibilities

  • Facilitate deep technical discussions with customers, partners, and Googlers. Provide customer and market feedback to product and engineering teams to help define product direction.
  • Provide domain expertise around public cloud and enterprise technology, and effectively promote Google Cloud with customers, at conferences, and online.
  • Support Account Managers and Sales Engineering teams as needed through all phases of new customer engagement.
  • Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive partners.
  • Travel regularly (up to 30%, although we also frequently use video conferencing) in-region for meetings, technical reviews, and onsite delivery activities.

Qualifications

Minimumqualifications:

  • BA/BS degree in Computer Science or a related engineering field, or equivalent practical experience.
  • 2 years of hands-on experience with cloud computing, including infrastructure, storage, platforms and data management or experience with traditional enterprise data-center technologies, including relational databases, storage appliances, virtual machines, and private networks.
  • Experience working with industry analysis and enterprise technology sales.
  • Experience producing technical assets or writing technical documentation.


Preferredqualifications:

  • MSdegree in Computer Science or a related engineering field, or equivalent work experience.
  • 5 years of direct experienceworking with a variety of enterprise and cloud technology systems, designing solutions, or developing business applications.
  • Experience in the business technology market, and expertise working closely with sales and marketing teams in cloud computing or related technical fields.
  • Understanding of the current state of infrastructure automation, continuous integration/deployment, SQL/NoSQL, security, networking, and cloud-based delivery models.
  • Ability to effectively communicate complex technical concepts to a broad range of audiences.