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Enterprise IT Engineer

Location: San Francisco, California
Type: Full-Time
Reports to: Head of Enterprise Security & Engineering

About LMArena

LMArena is the open platform for evaluating how AI models perform in the real world. Created by researchers from UC Berkeley’s SkyLab, our mission is to measure and advance the frontier of AI for real-world use.

Millions of people use LMArena each month to explore how frontier systems perform — and we use our community’s feedback to build transparent, rigorous, and human-centered model evaluations. Leading enterprises and AI labs rely on our evaluations to understand real-world reliability, alignment, and impact. Our leaderboards are the gold standard for AI performance — trusted by leaders across the AI community and shaping the global conversation on model reliability and progress.

We’re a team of researchers, engineers, academics, and builders from places like UC Berkeley, Google, Stanford, DeepMind, and Discord. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We’re building a company where thoughtful, curious people from all backgrounds can do their best work. Everyone on our team is a deep expert in their field — our office radiates excellence, energy, and focus.

The Role

We’re looking for a hands-on Enterprise IT Engineer to design, secure, and scale the systems that keep LMArena running — from identity and access management to endpoint security and collaboration infrastructure. You’ll be our first dedicated IT hire, shaping the foundation for how the company manages identity, devices, and connectivity as we grow.

You’ll own critical components of our enterprise stack — Okta, Google Workspace, Intune, CrowdStrike, and Cloudflare — ensuring our environment is secure, automated, and frictionless. You’ll work closely with engineering, security, and operations teams to balance security rigor with the speed and autonomy our work demands.

You’ll

  • Shape our identity and access foundation by managing user lifecycles through Okta (SCIM, SSO, Workflows), enforcing MFA with FIDO2 hardware keys, and automating provisioning and governance.

  • Oversee our SaaS and collaboration tools — administering Google Workspace, GAM, and key third-party apps to maintain least-privilege access, clean integrations, and efficient license usage.

  • Manage our devices and endpoints across Windows, macOS, iOS, and Android via Intune and CrowdStrike Falcon, ensuring compliance, patching, and device assurance.

  • Maintain secure connectivity for distributed teams using Cloudflare One — troubleshooting access, network, and VPN issues to keep our environment reliable and responsive.

  • Partner with security leadership on tool selection, vendor management, and incident response while developing and enforcing IT and security policies.

  • Automate and optimize workflows using Okta Workflows, Google APIs, or scripting (Python, PowerShell, or Bash) to improve reliability and reduce manual effort across the enterprise stack.

You’ll Have

  • 4–6 years of experience across IT and security engineering, ideally in a high-growth or technical environment.

  • Deep experience with Okta, Google Workspace, and hardware-key MFA (YubiKey, FIDO2).

  • A strong background in managing Intune and CrowdStrike Falcon in mixed-device environments.

  • Practical experience with macOS and Windows administration, troubleshooting, and device policy enforcement.

  • Familiarity with SaaS lifecycle automation, least-privilege access models, and identity governance.

  • Excellent communication skills and the ability to work effectively with executives, engineers, and external partners.

  • A “builder” mindset — hands-on, resourceful, and comfortable owning both the details and the architecture.

Bonus Points

  • Experience at a high-growth SaaS or AI startup.

  • Familiarity with Cloudflare One administration and policy configuration.

  • Comfort with Linux and cloud platforms (AWS, GCP, or Azure).

  • Experience automating workflows via Okta Workflows, Google Workspace APIs, or custom scripting.

What we offer

  • The cash compensation for this position has not yet been finalized. Actual compensation will depend on job-related knowledge, skills, experience, and candidate location.

  • Competitive salary and meaningful equity

  • Comprehensive healthcare coverage (medical, dental, vision)

  • The opportunity to work on cutting-edge AI with a small, mission-driven team

  • A culture that values transparency, trust, and community impact

Come help build the space where anyone can explore and help shape the future of AI.

Average salary estimate

$165000 / YEARLY (est.)
min
max
$140000K
$190000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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EMPLOYMENT TYPE
Full-time, onsite
DATE POSTED
November 5, 2025
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