AI Agent Support Specialist

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it.

At Vanta, our mission is to secure the internet and protect consumer data. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it.

Our goal is to provide best-in-class Technical Support to our customers. Our team's mission: "We transform complexity into clarity in every interaction, with empathy, earning the trust of our customers" We build strong partnerships with our customers through trust and transparency, which is why our Technical Support Metrics  are public.

As the AI Agent Support Specialist, You'll own Ask-Ilma, Vanta's customer-facing AI agent, built on Fin by Intercom, and the first point of contact for customers seeking support.. You're accountable for whether customers get the right answer, how the experience feels, and how smoothly Fin hands off to our support engineers when it should. Our customers rely on Vanta to get compliance right, so a fast answer only counts if it's also a correct one.

This is a hands-on role for someone who treats an AI agent like a product: something to measure, tune, test, and improve every week.

• Review Fin conversations weekly to find wrong answers, self-service gaps, and avoidable escalations.
• Make changes in Fin yourself (guidance, content, workflows). Treat most as two-way doors: ship, measure, adjust.
• Keep a ranked list of improvements based on customer impact, volume, and risk.
• Set and document Fin's guardrails: what it must never answer, when it asks a clarifying question, and when it escalates.

• Own the knowledge Fin draws from: snippets, internal content, and our help center.
• Set the governance: every topic has an owner and a review cadence, and outdated or conflicting content gets retired.
• When a support engineer answers something Fin couldn't, turn it into reusable knowledge so we only answer it once.
• Set AI-ready content standards, and partner with Customer Education to bring help-center articles up to them.

• Shape how Fin sounds, including how it says "I don't know" without leaving customers stuck.
• Own handoffs: when Fin escalates, where it routes, and what context it passes so customers never repeat themselves.
• Dig into low CSAT ratings and dead ends, and fix the root cause.
• Handle a small volume of tickets to stay close to real customer problems.

• Partner early with Product, Engineering, and Customer Education to get source-of-truth content before features ship.
• Have Fin tested and ready on launch day, then watch closely and close gaps fast.
• Evaluate new Fin capabilities and recommend which to adopt.

• Support expertise: 3+ years in technical support at a B2B SaaS company, including troubleshooting complex customer issues. TSS / Sr. TSS experience is preferred.
• AI support tool experience: hands-on experience with AI-powered support tools, as a user or an admin, and a clear view of where they work well and where they don't.
• Structured writing: you can turn a messy process into clear, well-organized knowledge that both people and AI can use.
• Data-driven decisions: you're comfortable pulling and interpreting performance data, spotting trends, and using them to decide what to fix first.
• Systems thinking: when you see a bad answer, you ask what in the system caused it, then fix that so it doesn't happen again.
• Customer judgment: you can tell when an answer is technically right but still a bad experience, and when a customer needs a person.
• Nice to have:
  Experience administering Intercom and Fin, including guidance, snippets, Procedures, or AI Insights.
• Nice to have:
  Background in knowledge management, content design, or writing for conversational interfaces.
• Nice to have:
  Experience leading a support tool rollout or migration.
• Nice to have:
  Exposure to security, compliance, or GRC…