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Sales Engineer | Artificial Intelligence | Data Analytics

  • Job type: Permanent
  • Location: San Francisco
  • Salary: $160000 - $215000 per annum, Benefits: Equity and full benefits
  • Job reference: PE-GO88
  • Sector: BI & Big Data, Cloud Software, Networks & Systems, Glocomms
  • Date posted: 08/02/2018
Do you want to work with the world’s most advanced enterprise automated machine learning platform?


Glocomms is currently leading a retained search for Sales Engineers with a disruptive and global client working to help solve the world’s business problems by finding the best predictive model for their data with a fluid and easy to use interface. As a Sales Engineer, you will be heavily involved in customer-facing activities during all stages of the sales cycle, from pre-sales to POCs and implementations.  The Sales Engineer will be integral in customer support both remote and on-site, in order to help customers diagnose and quickly resolve any technical issues they may encounter.


Core Responsibilities
  • Analyze, research, recommend and implement advanced solutions for a global scale enterprise software platform hosted on the public cloud, with a strong emphasis on the infrastructure and data store layers.
  • Evangelize cloud infrastructure best practices to all the engineering teams.
  • Travel (20-50%) to domestic and international customer sites

Minimum Qualifications
  • 5+ years of experience interacting with Enterprise customers and providing outstanding technical and engineering support
  • Detailed technical knowledge of cloud infrastructure and tools such as; AWS, Terraform and Ansible.
  • A range of experience with systems administration on various Linux distributions (Ubuntu and Red Hat are required) and Windows server.
  • Must have outstanding troubleshooting skills to diagnose whether issues are related to bugs in the app, deployment related problems, cluster configuration or networking, etc.
  • Masters/Bachelors’ degree in Computer Science or related field (in lieu of degree, 4 years of relevant work experience)

Preferred Experience
  • Familiarity with cloud architecture security tools and best practices
  • Experience with various cloud IaaS platforms such as AWS, Azure, or others.
  • Interest in all aspects of AI and security research and development
  • Experience in security systems, including firewalls, intrusion detection systems, vulnerability scanning tools, and compliance guidelines


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