Enterprise IT Engineer (AI)

TL;DR

Enterprise IT Engineer (AI): Designing and scaling secure identity, endpoint, and collaboration infrastructure for a high-growth AI research platform with an accent on Okta, Google Workspace, and mobile device management. Focus on building automated governance, enforcing least-privilege access, and ensuring security rigor across a diverse technical environment.

Location: Must be based in the Bay Area

Company

hirify.global is an open research-driven platform building transparent, human-centered evaluations for frontier AI models.

What you will do

• Manage identity and access lifecycles using Okta and enforce MFA security standards.
• Oversee SaaS collaboration tools including Google Workspace with a focus on least-privilege access.
• Administer multi-platform endpoints (macOS, Windows, iOS, Android) using Intune and CrowdStrike.
• Maintain secure network connectivity and access controls via Cloudflare One.
• Develop automation workflows using Okta, Google APIs, and scripting languages like Python or PowerShell.
• Partner with security teams to define IT policies and manage vendor relationships.

Requirements

• 4–6 years of experience in IT or security engineering.
• Deep hands-on expertise with Okta, Google Workspace, and FIDO2 hardware keys.
• Proven background managing Intune and CrowdStrike in mixed-device environments.
• Experience with SaaS lifecycle management and identity governance.
• Strong troubleshooting skills for both macOS and Windows administration.
• Excellent communication skills for collaborating with technical and executive teams.

Nice to have

• Experience in high-growth SaaS or AI startups.
• Knowledge of Cloudflare One policy configuration.
• Familiarity with Linux and public cloud platforms (AWS, GCP, Azure).
• Advanced scripting skills for enterprise workflow automation.

Culture & Benefits

• Comprehensive medical, dental, and vision health coverage.
• Equity compensation in a mission-driven AI startup.
• Environment that prioritizes craftsmanship, curiosity, and rapid execution.
• Direct impact on defining global standards for AI model performance and reliability.