Deployment Engineer (AI Cybersecurity)

Location: United States — 100% remote

Salary: Competitive pay and meaningful equity; no exact amount specified.

Company

hirify.global builds an AI Governance and Control platform that helps enterprises observe, control, and enforce security policies across AI tools and workflows.

What you will do

• Onboard customers and provide technical support throughout deployment.
• Investigate deployment issues by reviewing logs, HAR files, configurations, and other technical evidence.
• Write clear root cause analyses and escalate well-documented issues to engineering.
• Improve the deployment experience by identifying recurring problems and automating repeatable work.
• Maintain internal guides and customer-facing documentation.
• Share field findings with Product, Customer Success, Solutions Architecture, and QA to improve the product.

Requirements

• Hands-on experience deploying and supporting enterprise security or endpoint products in customer environments.
• Familiarity with MDM platforms such as Intune or Jamf, browser extension rollouts, SSO and identity configuration, and network or endpoint setup.
• Comfort working across Windows, Linux, and macOS.
• Strong customer-facing communication and the ability to coordinate issues, gather evidence, and close problems effectively.
• Operational discipline, including documenting fixes and creating repeatable processes.
• Ability to read or write code is beneficial, but the core focus is technical troubleshooting and customer support.

Nice to have

• Experience at an AI-native startup, analytics or data-insight platform, or security and governance SaaS company.
• An AI-first mindset and experience automating recurring work.

Culture & Benefits

• Small, high-trust team with transparent collaboration and strong ownership.
• Competitive pay, meaningful equity, a 401(k) pension plan, and generous paid time off.
• Flexible workplace practices and annual global off-sites.
• Environment focused on continuous learning, initiative, and rapid decision-making.
• Opportunities to shape the product, culture, and operating model at an early-stage company.