About the Job
Horizon3 is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find, fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM platform, delivers production-safe autonomous pentests and other key assessmen...
We are a fusion of former U.S. Special Operations cyber operators, startup engineers & operators, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools and false positives, resulting in alert fatigue, blind spots, "checkbox” sec...
We are seeking an AI Admin to administer and govern the AI tooling that Horizon3 employees use for their work. The Business Applications (BizApps) team is the operational backbone for organizational collaboration, system connectivity, and process automation at Horizon3. We partner with every department to provide th...
Key Responsibilities
In this role, you will administer Glean and Rovo, and support configuration and access for work done in BizApps specific Claude, Gemini, and AWS Bedrock resources. You will manage access, connectors, and settings, and set up Projects, Skills, Gems, and agents of moderate complexity. You will help ensure AI tools reach only the data each person is entitled to see. You will scope and complete moderately complex projects with little direction.
This is an individual contributor role reporting to the Senior Manager, Business Applications. You will work with the Senior Engineer on complex agent and automation builds, and with the IT Admins on shared platforms. The path from Admin to Senior Engineer is a defined growth route on this team.
Administer Glean, including data source connectors, user access, permissions, configuration, and usage monitoring
Administer Rovo, including agent availability, access, and settings within our 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 (RBAC)
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 right 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
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities, and activities may change at any time with or without notice.
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Required Skills & Abilities
Must have hands-on experience administering at least one enterprise AI, enterprise search, or comparable SaaS platform, including users, roles, permissions, and integrations
Must have hands-on experience configuring Projects, Skills, Gems, agents, or similar on at least one of Claude, Gemini, Glean, Rovo, or AWS Bedrock
Must have an understanding of RBAC, least-privilege access, and how source system permissions affect what an AI tool can retrieve or expose
Must have experience troubleshooting connector, access, and configuration problems and escalating them with clear diagnostic detail
Must be able to scope, plan, and complete moderately complex projects with little direction from a manager
Must be able to write clear guidance and documentation for technical and non-technical employees
Must be able 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
3+ 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
AI platforms: Glean, Rovo, Claude, Gemini, and/or AWS Bedrock (experience with at least one required)
Working knowledge of Jira and Confluence
SSO and identity provider concepts as they relate to application access
Basic familiarity with APIs and connector-based integrations
You have deployed or administered an enterprise AI or search platform across a company and measured its adoption
You have built agents, Projects, Skills, or Gems that teams use in daily work
You have reviewed AI tool access against data classification or compliance requirements such as SOC 2
You have scripting skills (for example Python or JavaScript) that you use to automate admin work
You are interested in growing toward integration and solution engineering
Relevant certifications such as AWS, Atlassian, or similar
Experience in high-growth SaaS or cybersecurity companies
Qualifications
Experience:
3 years experience
