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Magic

AI software engineer for end-to-end development

Founding Marketing Lead

Marketing Generalist & ManagementConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • Have 2–5 years of marketing experience, ideally including business-to-business software-as-a-service and meaningful early-stage or 0-to-1 experience.
  • Be able to write emails, brief a designer or design independently, launch campaigns, and interpret data.
  • Be a strong writer and storyteller, able to make a technical product feel human and help buyers feel understood.
  • Be comfortable working with ambiguity and creating a playbook where none exists.
  • Have strong communication skills and the ability to build relationships.
  • Have strong organizational skills and the ability to manage multiple projects.

Responsibilities

  • Own positioning and messaging for Loyalist, shaping the story to resonate with customers who experience the same problem from different perspectives.
  • Create sales collateral, case studies, presentations, and outreach sequences to help the sales team win and generate qualified pipeline.
  • Turn customer results into case studies, testimonials, and references.
  • Run events and field marketing, including industry conferences and intimate dinners.
  • Own the brand, website, and overall narrative.
  • Own go-to-market for new product lines, including naming, positioning, launch campaigns, and the playbook for introducing new products to an audience that already trusts the company.
  • Measure marketing spend against pipeline and revenue rather than vanity metrics.

Desired Qualifications

  • Business-to-business software-as-a-service marketing experience and meaningful early-stage or 0-to-1 experience are ideal.

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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