Remote Lead, AI-Driven Customer Tech Care

Stellar Tech

United States

Remote

USD 120,000 - 180,000

Full time

14 days+
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Benefits offered by this job

Remote work (global)
Health stipend
21 days PTO + 10 holidays
Professional growth opportunities

Job summary

StellarTech is building a Customer Tech Care unit that embeds engineering into support to resolve complex issues. You will lead the automation squad, shape the diagnostic playbooks, and drive AI agent deployments to reduce ticket volume.

You will mentor engineers, own escalation processes, and coordinate across Product, Backend, and Data teams to secure access and tooling for scalable automation.

Qualifications

  • 5+ years in automation engineering, tech support engineering, or platform engineering.
  • 1–2 years in a team lead or tech lead capacity.
  • Hands-on experience building LLM-based agents or AI-driven automation.

Responsibilities

  • Lead day-to-day unit operations including capacity planning and sprint structure.
  • Mentor automation engineers; establish code and architecture review processes.
  • Own escalation triage and investigative protocols with direct system access.
  • Design and govern multi-step automation pipelines across Zendesk, APIs, and DB state.
  • Define solution taxonomy and enforce rollout standards for automation.
  • Oversee training loops to improve agent accuracy and reduce tickets.
  • Coordinate with Product, Backend, and Data teams for access and endpoints.
  • Document runbooks; ensure rollback paths and monitoring.

Skills

Automation engineering
Team leadership
Python
Data analysis
Zendesk automation
LLM AI agents
APIs REST
SQL/NoSQL databases

Tools

Zendesk
OpenAI API
Kubernetes
Git
CI/CD

Job description

StellarTech is building a Customer Tech Care unit that embeds engineering into support to resolve complex issues. You will lead the automation squad, shape the diagnostic playbooks, and drive AI agent deployments to reduce ticket volume.

You will mentor engineers, own escalation processes, and coordinate across Product, Backend, and Data teams to secure access and tooling for scalable automation.

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