M

Magic

AI software engineer for end-to-end development

Forward Deployed Strategist

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 4 years of experience in technology, consulting, customer success, or account/project management.
  • Strong relationship skills and comfort working with people from general managers to directors of operations and chief marketing officers.
  • Ability to translate technical concepts into language suitable for restaurant teams.
  • Ability to work with data and dashboards and identify patterns and insights.
  • Ability to work independently and collaboratively in a fast-paced, evolving environment.

Responsibilities

  • Serve as the main point of contact for enterprise restaurant groups.
  • Build relationships with operators and decision makers, understand how each restaurant operates, and identify product needs.
  • Onboard restaurant teams, integrate their data, train their teams, and recommend ways to use Loyalist.
  • Identify and pursue expansion opportunities.
  • Answer partner questions, debug issues, and develop workarounds when needed.
  • Use data and best practices to advise partners on increasing repeat visits and improving Google reviews.
  • Analyze guest and sales data to uncover insights, including identifying top spenders and prospective event invitees.
  • Partner with engineering and founders to share customer feedback, improve the platform, and tell customer stories.
  • Contribute documentation, how-to guides, and templates to help restaurants learn the product.
  • Stay informed about industry trends and emerging restaurant technology.

Desired Qualifications

  • Experience in or around restaurants.
  • Familiarity with SQL or data analysis tools.

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

Recently Posted Jobs

Explore more opportunities at Magic

See more jobs