Founding Designer
Magic
Founding Designer
Magic
AI software engineer for end-to-end development
We're hiring a founding product designer with strong systems thinking and exceptional attention to detail to help shape the future of hospitality technology. You'll join a small, fast-moving team building the core operating system for modern restaurants, partnering with some of the most exciting brands in the industry.
Design complex, data-driven interfaces across CRM dashboards, guest profiles, segmentation tools, reporting, and campaign builders
Turn messy, multi-source data (POS, reservations, reviews, email, SMS) into clear, intuitive workflows for operators
Define information architecture and interaction patterns for products used daily by non-technical teams
Partner closely with engineering to bring thoughtful, high-quality interfaces to life
Work directly with the founder to shape product direction and translate brand into product design
Establish design standards, systems, and tooling that scale with the company
Meet with restaurant operators to deeply understand workflows and real-world constraints
Bonus: experience in brand and graphic design to work with the GTM team on brand activations
Experience designing products from 0 to 1
Strong systems design and information architecture skills
Ability to simplify complex data models into intuitive user experiences
A portfolio showing strong visual taste and attention to detail
Comfort designing for non-technical users solving complex problems
Ownership mindset and strong product instincts
Experience with the latest AI tools and building internal design harnesses
Interest in hospitality, restaurants, or consumer-facing software
Competitive salary: $160K-$200K + equity
In-person team, 5 days/week in SoHo
Comprehensive health, dental, and vision insurance for you and your dependents (FSA and HSA options)
Daily lunch from top NYC restaurants (you choose your first week)
Unlimited PTO
Access to coveted NYC reservations
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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