AI Agent Operations Specialist, Support
New
V
VantaSecurity compliance
Remote U.S.Full-TimeMiddle
Salary$129K - $152K; $129K – $152K • Offers Equity
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Job Details
- Experience
- 3+ years in technical support at a B2B SaaS company
- Required Skills
- Technical support
Requirements
- Have 3+ years of technical support experience at a B2B SaaS company.
- Have experience troubleshooting complex customer issues.
- Bring hands-on experience using or administering AI-powered support tools.
- Write clear, well-organized knowledge from messy processes for people and AI.
- Interpret performance data, identify trends, and use them to prioritize improvements.
- Use systems thinking to identify and address the causes of incorrect answers.
- Exercise customer judgment to recognize when an answer creates a poor experience or a customer needs a person.
- Experience as a TSS or Sr. TSS is preferred.
- Intercom and Fin administration experience, including guidance, snippets, Procedures, or AI Insights, is a plus.
- Knowledge management, content design, conversational-interface writing, support tool rollouts or migrations, and exposure to security, compliance, or GRC are nice to have.
- Show curiosity, willingness to learn, and sound judgment in using AI responsibly.
Responsibilities
- Review Fin conversations weekly to identify incorrect answers, self-service gaps, and avoidable escalations.
- Make and measure changes to Fin’s guidance, content, and workflows.
- Prioritize improvements based on customer impact, volume, and risk.
- Set and document Fin’s guardrails, including when it should not answer, ask clarifying questions, or escalate.
- Own Fin’s knowledge sources, assign topic owners and review cadences, and retire outdated or conflicting content.
- Turn support-engineer answers into reusable knowledge and partner with Customer Education on AI-ready help-center content.
- Improve Fin’s tone, routing, handoffs, and escalation context; investigate low CSAT ratings and dead ends.
- Handle a small volume of support tickets to stay close to customer problems.
- Partner with Product, Engineering, and Customer Education to prepare Fin for launches, monitor performance, and close gaps.
- Evaluate new Fin capabilities and recommend which to adopt.
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