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MTS, IT Engineer

Reflection AI - San Francisco, CA, USA - In-office - posted 2026-09-17

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Reflection AI, a research lab focused on making intelligence open and accessible, is seeking a Member of Technical Staff - IT Engineer to lead operational and strategic IT initiatives with significant autonomy. You will manage a broad range of responsibilities spanning tier 1 and tier 2 support, office infrastructure buildouts, process optimization, and IT security initiatives. This is an internal-customer-facing role supporting executives, engineers, and non-technical staff with daily IT needs and strategic projects. Key responsibilities include: - Managing day-to-day operational IT requests and providing white-glove support for executives - Designing and implementing systems and processes to improve IT function efficiency - Facilitating employee onboarding with a focus on rapid growth support - Designing and deploying IT systems including MDM, SSO, and ticketing platforms - Supporting IT Security initiatives such as hardware security key rollout and device posture attestation - Managing SaaS platforms and vendor spend - Leading office buildout projects, coordinating audio/visual, networking, and security equipment installation You'll work in a talent-dense, mission-driven environment where you help define the company's future while contributing to open foundational AI models. REQUIREMENTS: - 5+ years of experience with Tier 1 and Tier 2 IT support - Comfort in customer-facing roles supporting diverse audiences (executives, engineers, non-technical staff) - Ability to navigate complex, non-trivial problems with minimal support - Experience with both macOS and Windows devices (Linux a bonus) - Expertise managing user provisioning through Rippling and Okta, including automating onboarding/offboarding flows - Experience configuring and managing Okta as primary SSO IdP, integrating SaaS platforms with Okta SSO - Familiarity with MDM solutions (Jamf, Kandji, or JumpCloud) - Experience administering Google Workspace, Slack, Jira, and Linear - Strong technical depth with ability to communicate technical information clearly to various audiences

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