Executive Assistant to the CEO
Magic
Executive Assistant to the CEO
Magic
AI software engineer for end-to-end development
We're seeking a highly organized, proactive, and resourceful executive assistant to work closely with our founder as a highly trusted partner. This role needs someone exceptionally organized, detail-oriented, and comfortable operating with a high degree of autonomy.
Manage and maintain the founder's calendar, including scheduling, prioritization, and logistics
Coordinate travel, itineraries, transportation, and accommodations
Run personal and professional errands and handle returns, deliveries, and appointments
Help prepare the founder for meetings by organizing materials, schedules, and relevant information
Support customer and company projects as needed
Coordinate high-touch gifting for clients, partners, employees, and personal relationships
Help manage personal and professional correspondence and follow-ups
Anticipate the founder's needs and handle tasks before they're requested
1-3+ years of experience in executive assistance, operations, or a similarly high-touch role
Exceptional organizational skills and attention to detail
Highly proactive; you naturally think several steps ahead
Comfortable managing both mundane logistics and high-level projects
Strong calendar, scheduling, travel, and expense-management skills
A resourceful problem solver who can figure things out independently
Comfortable working in a fast-paced, changing environment
Willing to jump between professional and personal responsibilities as needed
$75,000-$95,000 base salary + equity
We work in person 5 days a week in our SoHo office
Comprehensive health, dental, and vision insurance for you and all your dependents (FSA and HSA plans available)
Lunch daily from the best restaurants in NYC; you choose all the restaurants your first week
Unlimited PTO
Magic is a San Francisco-based AI company building an AI software engineer that acts as a collaborative teammate for software development, capable of handling large end-to-end tasks with minimal human supervision and aiming for artificial general intelligence. Its approach combines frontier-scale pre-training, domain-specific reinforcement learning, ultra-long context, and high inference-time compute, centered on a Long-Term Memory model that can process very large codebases. The company differentiates itself by enabling end-to-end software development with a memory-equipped agent rather than just a tool, leveraging a very large context window to understand entire projects. Its goal is to automate complex software engineering tasks and advance toward AGI in the software development domain.
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