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Solution Architect/Sales EngineerDecision Engines, Inc. • Chicago, Illinois, United States
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Solution Architect/Sales Engineer

Decision Engines, Inc.
  • US
    Chicago, Illinois, United States
  • US
    Chicago, Illinois, United States
Jetzt Bewerben

Über

Client engagements will include business processes in Legal, Finance & Accounting functions such as contract life cycle management, quote-to-cash, invoice processing, finance control, DSO outstanding, accounting journal entries and audit operations. Ideal candidates must, understand and be able to articulate the business value in automating these processes to the Fortune 500. These are high-impact projects with high levels of internal and external visibility. This is a unique opportunity to change the future of global enterprise businesses operations and anchor the Autonomous Enterprise vision.
KEY RESPONSIBILITIES
Collaborate with Solution Leaders to understand customer requirements and with other Decision Engines domain experts, including engineers, product managers, and data scientists
Articulate the Decision Engines differentiation and advantages over competitor solutions to customers
Design and develop demonstrations and training exercises with the Decision Engines Platform
Conduct Decision Engines Platform and application demonstrations and training to both internal and external audiences
Deploy the solution to customer environments and maintain them
Respond to technical aspects of RFP’s
REQUIRED SKILLS AND EXPERIENCE Qualified candidates will combine an undergraduate degree, professional experience in directly-relevant technologies, and a demonstrated appetite and aptitude for ongoing skills development. Minimum qualifications are:
5+ years of experience demonstrating software products, presenting technical deep-dives, and technical objection handling
Hands-on Experience with Javascript, Docker, Deployment scripts
Experience with enterprise grade security, high availability and disaster recovery topologies, sizing etc.
Experience deploying software on bare metal using DevOps tools and scripts.
Bachelor of Science in Computer Science, Engineering, MIS, or comparable area of study.
Understanding of machine learning concepts, examples, and benefits
In addition, the following qualifications and experience in, are highly preferred:
General knowledge of ERP processes and or, Robotic Process Automation
Strong product knowledge and understanding of developer ecosystem
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  • Chicago, Illinois, United States

Sprachkenntnisse

  • English
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