Argyle

Customer Success Engineer – Associate

Argyle

full-time

Posted on:

Location Type: Remote

Location: United States

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Salary

💰 $80,000 - $100,000 per year

About the role

  • Partner with customers to support SDK and API integrations, guiding them through implementation and troubleshooting.
  • Investigate and resolve technical issues across web and mobile environments, escalating thoughtfully when broader changes are needed.
  • Collaborate cross-functionally with Engineering, Product, Sales, and Customer Success to unblock customers and improve the overall product experience.
  • Debug issues across the stack, reading and contributing to code when needed to diagnose problems or improve reliability.
  • Identify recurring issues and suggest improvements to documentation, tooling, and internal processes.
  • Build strong familiarity with Argyle’s platform and data model to confidently support customer use cases and edge cases.

Requirements

  • 1–3 years of experience in a Support Engineering, Solutions Engineering, or similar client-facing technical role.
  • Strong debugging and troubleshooting skills across web and mobile systems, with working knowledge of full-stack development concepts.
  • Comfort reading and understanding code across full-stack codebases to help diagnose issues and support integrations.
  • Experience working directly with technical customers and navigating ambiguity with sound technical judgment.
  • Ability to identify patterns across support tickets, and eagerness to contribute to process and/or product improvements.
Benefits
  • Discretionary Performance Bonus
  • Equity
  • Flexible time off
  • Remote-first work culture
  • Competitive pay
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SDK integrationAPI integrationdebuggingtroubleshootingfull-stack developmentweb systemsmobile systemscode readingtechnical support
Soft Skills
customer supportcollaborationproblem-solvingcommunicationnavigating ambiguitypattern recognitionprocess improvement