supervisor_account Intuition Machines
language Remote
stars Senior
euro_symbol N/A

Sales Engineer at Intuition Machines


  • Minimum of four years of hands-on experience in a similar role at a SaaS provider
  • Have a background in full-stack development, DevOps engineering, and preferably information security or machine learning, utilizing frontend frameworks like React, plain JS, and a few backend languages Python, NodeJS, Go, etc.
  • Experience converting customer requirements into actionable code for sprint pipelines
  • Excellent communication, listening and presentation skills to and with diverse audiences
  • Demonstrated solution architecture and engineering expertise (gather requirements, problem solve and recommend)

Scope of Work

  • Serve as technical owner during customer sales, onboarding and implementation through deep subject matter expertise in the hCaptcha ecosystem
  • Advise customers on the best implementation strategies, use cases, product choice, and ensure and nurture customer satisfaction
  • Convert customer requests and requirements into meaningful development outcomes
  • Understand and actively maintain knowledge of evolving competitive products and growth opportunities
  • Own and lead continual service improvement plans and delivery quality across the stack
  • In partnership with the product team, model go-to-market strategies, deliver solution architecture, boost client acquisition capabilities and refine offer delivery
  • Work as a liaison between architects, engineers, customers to articulate and translate both complex business requirements and technology solutions


  • 100% Remote
  • Paid time off (2-4 weeks)
  • Paid sick leave
  • Freelancing, contractual base - automatically renewed every year
  • Yearly Regional gatherings

About Intuition Machines

We provide machine learning products and services at scale to some of the largest companies in the world. Focus on meta-learning and visual domain ML.
Intuition Machines has decades of software and ML expertise. We build and operate massively scalable systems to tackle some of today’s hardest problems.


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