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Remote work, generalist automation title, and broad skill requirements increase applicant competition.
Automation and AI-validation skills are moderately transferable across industries and support functions.
Explicit 1–2 year requirement plus mandatory automation and AI-validation skills creates moderate filtering.
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Design, test, deploy, and continuously improve AI-powered automations for case routing, enrichment, resolution, and support operations.
Validate AI-generated responses for accuracy, context, tone, completeness, and grounding; identify automation failures, hallucinations, and workflow issues.
Partner with Support Operations, Engineering, Product, and AI teams to enhance customer experience, operational efficiency, and automation effectiveness.
1–2 years of experience in engineering, automation, technical support systems, or related fields; includes academic/project/internship exposure involving automation or AI tools.
Basic understanding of programming, scripting, or automation concepts with exposure to AI tools, APIs, low-code platforms, and data validation.
Ability to validate AI-generated responses for accuracy, tone, contextual relevance, grounding, completeness, and detect hallucinations or knowledge gaps.
Work Experience Required: 1–2 years or relevant academic/project/internship experience.
Comfortable working in a collaborative, cross-functional team involving AI, Product, Engineering, and Support Operations.
Capable of learning and applying automation tools and AI quality validation practices with guidance; progressively owning simple automation components.
Experienced or interested in root cause analysis, regression testing, automation health monitoring, knowledge base quality feedback, and continuous improvement in AI-driven support workflows.