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C1

Technical Support Engineer

Remote (Remote)$120k–$140kfulltimemidAdded today

About this role

C1 seeks a Technical Support Engineer to support customers adopting their agentic AI platform, requiring 3+ years in technical support, DevOps, or IAM/Security roles. You'll manage support queues, troubleshoot complex infrastructure issues, and guide customers through implementations while collaborating with internal teams to resolve problems quickly.

What you'll do

  • Provide technical support to customers, troubleshooting issues and escalating concerns with sub-1-hour response time goals
  • Develop deep product knowledge of C1's platform and stay current on features, best practices, and integrations
  • Conduct customer training sessions and create educational materials on platform usage and advanced features
  • Project manage complex issue resolutions across internal teams to ensure timely customer solutions
  • Gather customer feedback and usage data to inform product improvements and identify optimization opportunities
  • Identify and lead process automation initiatives for both internal workflows and customer-facing tasks

What they're looking for

  • Technical SaaS support and troubleshooting
  • REST APIs, OAuth, and authentication protocol expertise
  • Docker and Kubernetes containerization and debugging
  • On-premises and hybrid cloud infrastructure knowledge
  • IAM, IT security, and identity management fundamentals
  • Clear communication and customer guidance ability
  • AWS IAM, policies, and identity federation (bonus)
  • Microsoft Entra ID/Azure AD administration (bonus)
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C1

C1 builds a foundational identity platform that manages access across modern enterprise systems, SaaS, infrastructure, and AI agents. The company is hiring Software Engineers to work on end-to-end, high-impact projects in a small, fast-moving team.

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Likely interview questions

  • Walk us through a complex customer issue you resolved in a previous support role—what was your approach and how did you communicate progress?
  • Describe your experience troubleshooting containerized applications in Docker/Kubernetes environments. What tools or methods do you typically use?
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