M

Magic

AI software engineer for end-to-end development

Founding Talent

Generalist Recruiting +1Confirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • Full-cycle recruiting experience at both an early-stage startup and a hypergrowth company.
  • Experience independently owning hiring for roles without a large team supporting the work.
  • Experience hiring for both engineering and go-to-market roles.
  • Experience with outbound sourcing.
  • Strong organizational and follow-up skills.
  • Experience with artificial-intelligence-native tools and processes.
  • A high level of initiative and an active professional network.

Responsibilities

  • Own hiring for every role, from sourcing through closing.
  • Source candidates through outbound outreach and referrals, and maintain full pipelines without relying on inbound applications.
  • Build the hiring process from scratch, including interview steps, job descriptions, and decision-making practices.
  • Help hiring managers determine candidate qualifications, particularly for roles the company has not hired for before.
  • Manage the candidate experience, including scheduling, onsite logistics, follow-ups, debriefs, and references.
  • Keep the team accountable for providing fast, thorough feedback.
  • Work with recruiting agencies.
  • Develop the hiring brand and recruiting events over time.

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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