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Horizon3.ai

Autonomous pentesting SaaS for vulnerabilities

AI Administrator - Business Applications

Enterprise ApplicationsConfirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • Hands-on experience administering at least one enterprise AI, enterprise search, or comparable SaaS platform, including users, roles, permissions, and integrations.
  • Hands-on experience configuring Projects, Skills, Gems, agents, or similar functionality on at least one of Claude, Gemini, Glean, Rovo, or AWS Bedrock.
  • Understanding of role-based access control, least-privilege access, and how source system permissions affect what an AI tool can retrieve or expose.
  • Experience troubleshooting connector, access, and configuration problems and escalating them with clear diagnostic detail.
  • Ability to scope, plan, and complete moderately complex projects with little direction from a manager.
  • Ability to write clear guidance and documentation for technical and non-technical employees.
  • Ability to follow data handling and security requirements when working with AI tools that access company data.
  • Bachelor’s degree in Information Systems, Computer Science, Business, or a related field, or equivalent practical experience.
  • Three or more years of experience in IT, business systems administration, or SaaS platform administration, including hands-on work with AI or enterprise search platforms.
  • Experience supporting a distributed or remote-first workforce.
  • Experience with at least one of Glean, Rovo, Claude, Gemini, or AWS Bedrock.
  • Working knowledge of Jira and Confluence.
  • Knowledge of SSO and identity provider concepts as they relate to application access.
  • Basic familiarity with APIs and connector-based integrations.

Responsibilities

  • Administer Glean, including data source connectors, user access, permissions, configuration, and usage monitoring.
  • Administer Rovo, including agent availability, access, and settings within the Atlassian environment.
  • Configure and support Projects, Skills, Gems, and agents in Claude, Gemini, and AWS Bedrock, including access groups and workspace settings related to BizApps assets and resources.
  • Manage provisioning, deprovisioning, and licensing for AI platforms using role-based access control.
  • Build and maintain lower-complexity agents, Projects, Skills, and Gems for business teams, and escalate complex builds to the Senior Engineer.
  • Gather use case, data source, and access details from AI enablement requests and route them to the appropriate platform and owner.
  • Implement access controls and data handling standards for AI deployments with Security and IT Engineering, applying least-privilege access and checking connector permissions against source system permissions.
  • Monitor AI tool usage for misuse, permission drift, and unexpected data exposure, and escalate concerns to Security and the Senior Manager.
  • Maintain a current record of AI tools, connectors, and deployed agents, including owner, purpose, data access, and review date, to support audits.
  • Track platform releases and changes, assess their impact on access and data handling, and communicate them to the team.
  • Write user guidance and enablement content that helps employees use approved AI tools correctly.
  • Report on adoption, license utilization, and platform health to the Senior Manager.
  • Demonstrate a commitment to integrity, process improvement, and customer satisfaction.

Desired Qualifications

  • Deployed or administered an enterprise AI or search platform across a company and measured its adoption.
  • Built agents, Projects, Skills, or Gems that teams use in daily work.
  • Reviewed AI tool access against data classification or compliance requirements such as SOC 2.
  • Scripting skills, such as Python or JavaScript, used to automate administration work.
  • Interest in growing toward integration and solution engineering.
  • Relevant certifications such as AWS, Atlassian, or similar.
  • Experience in high-growth SaaS or cybersecurity companies.

About the Company

Horizon3.ai

Autonomous pentesting SaaS for vulnerabilities

Horizon3.ai specializes in cybersecurity by offering NodeZero, a SaaS platform for autonomous penetration testing. It lets enterprises simulate cyber-attacks on their own systems in a self-service way, without installing persistent agents, and without ongoing human intervention. The platform works by running security-focused attack simulations in production environments to uncover exploitable vulnerabilities and weak controls, delivering vulnerability assessments, threat simulations, and compliance-oriented testing through tiered subscription plans. This approach differentiates Horizon3.ai from traditional pentesting by being self-service, agentless, and safe to run in live environments, while targeting enterprise customers that must meet standards such as PCI DSS. The company aims to help organizations improve their security posture, prioritize remediation, and maintain regulatory compliance by continuously identifying and fixing weaknesses.

Company size
501-1,000
Company stage
Series E
Total funding
$437M
Headquarters
San Francisco, CA
Founded
2019

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