Vanta
AI Optimization Specialist, Support
Remote U.S
No sponsorshipDetected 25 days ago
JavaScriptPythonComplianceCustomer SupportIntercomHIPAACollaborationProblem SolvingOrganizational Skills
About the role
- 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.
- We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies.
Responsibilities
- Build and maintain internal knowledge resources (e.g., Guru cards, internal snippets) to help the support team resolve customer issues quickly and confidently.
- Own and refine chatbot workflows, guidance, and custom answers within Intercom.
- Build strong internal product expertise to anticipate customer needs and support gaps.
- Report actionable insights to stakeholders to drive buy-in and alignment.
- Design personalized and effective conversational flows using Intercom's AI capabilities.
- Own and continuously improve how AI handles inbound support interactions, with a focus on increasing resolution rates, accuracy, and customer satisfaction.
- Drive increases in AI involvement, resolution rates, and CSAT by strategically optimizing how AI is used across support touchpoints.
- Use insights from real support conversations to guide strategic decisions around AI behavior, fallback handling, and escalation logic.
- Partner with Product, Engineering and Design to stay ahead of upcoming launches and ensure the AI chatbot and AI Copilot are prepared to support new or updated customer-facing workflows.
- Take on a small volume of support tickets to stay grounded in real customer challenges, deepen product expertise, and identify opportunities to improve AI flows based on actual user needs and language.
Requirements
- Demonstrated ability to identify gaps, anticipate edge cases, and iterate quickly.
- Familiarity with internal tools and systems (e.g., Ask Ilma, Intercom Copilot) and how product areas interact.
Nice to have
- Open to using AI to amplify their skills and strengthen their work - demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact.
- Proven experience in technical troubleshooting and handling customer inquiries (TSS/SR TSS preferred).
Skills
- Familiarity with APIs, JSON, or scripting languages (e.g., Python, JavaScript) to work more deeply with AI workflows and configurations.
- Must be authorized to work in the U.S. without the need for current or future employer sponsorship.
- What you can expect as a Vanta'n:
- Industry-competitive salary and equity
- Comprehensive medical, dental, and vision coverage, with 100% of employee-only benefit premiums covered for most medical plans
- 16 weeks paid Parental Leave for all new parents
- Health & wellness stipend
- Remote workspace, internet, and cellphone stipend
- Commuter benefits for team members who report to the SF and NYC office
- Family planning benefits
- Matching 401(k) contribution with immediate vesting
- Flexible PTO policy, plus 80 hours of Sick Time
Compensation
- Industry-competitive salary and equity
Benefits
- Collaborate with Customer Education to ensure AI tools (chatbot and Copilot) are drawing from the most effective and accurate content.
- Anticipate where AI coverage may be impacted and proactively guide conversation design and fallback planning for those scenarios.
Company info
- "We make complex solutions seem simple, and are leaders in customer education".
- We build strong partnerships with our customers through trust and transparency, for this reason our Technical Support Metrics https://www.vanta.com/technical-support-metrics are available publicly.
Visa & Work Authorization
- Must be authorized to work in the U.S. without the need for current or future employer sponsorship.
This listing is sourced directly from Vanta's careers page and normalized into a canonical job model.