M

Magic

AI software engineer for end-to-end development

Founding Account Executive

Field SalesUpdated on Nov 11
Full-timeNew York, NY, USA

About the Job

Requirements

  • Two to six years of experience in hospitality, SaaS sales, or a generalist high-performance startup environment.
  • Demonstrated ability to generate pipeline and close deals.
  • Strong presence with operators, from general managers to ownership and executive teams.
  • Ability to translate product capabilities into clear business value.
  • Ability to stay organized and disciplined with follow-up and deal management.
  • Comfort operating in ambiguity while staying focused on outcomes.

Responsibilities

  • Own full-cycle sales from prospecting through close.
  • Build and manage a high-quality pipeline of restaurant groups and operators.
  • Drive outbound sales through in-person visits, referrals, and strategic partnerships.
  • Close multi-location restaurant groups and expand accounts over time.
  • Serve as a trusted advisor to operators, helping them unlock revenue through Loyalist.
  • Partner directly with founders and product to shape positioning, pricing, and roadmap.
  • Work cross-functionally with sales, customer experience, engineering, and the founder to shape the sales motion and go-to-market engine.

Desired Qualifications

  • Experience selling to hospitality operators.
  • An existing network in New York City.

About the Company

Magic

AI software engineer for end-to-end development

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.

Company size
11-50
Company stage
Seed
Total funding
$10M
Headquarters
New York City, United States
Founded
Not listed

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