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LM Studio

Runs local LLMs on personal computer

Marketing Lead

Brand & Creative Marketing +1Confirmed live in the last 24 hours
Full-timeNew York, NY, USAIn-person

About the Job

Requirements

  • Keen judgment and a sharp sense of what is relevant in AI, software, and developer culture.
  • High agency, with the ability to anticipate opportunities and take projects from idea to execution.
  • Technical curiosity and comfort working closely with engineers, product teams, and sophisticated users.
  • Strong writing and storytelling skills to make technical ideas clear, accurate, and compelling.
  • Experience marketing AI infrastructure, software tools, or technical products.
  • A proven track record of being a good poster.

Responsibilities

  • Craft LM Studio’s positioning, voice, and core narratives, and close the gap between what the product can do and what people know about it.
  • Work with engineering and product to translate new capabilities into stories and develop educational materials that resonate with technical and broader audiences.
  • Write and publish product announcements, blog posts, technical explainers, social posts, and launch materials.
  • Create product demos and videos that clearly show what LM Studio can do.
  • Own the editorial calendar and distribution across the LM Studio blog, Twitter/X, LinkedIn, Discord, YouTube, and other relevant channels.
  • Create high-impact collaborations with AI labs, technology companies, creators, and community partners that expand awareness and product adoption.

Desired Qualifications

  • Experience with earned media, developer relations, community building, or product launches.
  • Existing relationships with AI labs, developers, creators, technical media, or ecosystem partners.

About the Company

LM Studio

Runs local LLMs on personal computer

LM Studio provides a local-first AI platform that lets users download, install, and run large language models directly on their own computers, avoiding cloud services. It supports multiple LLM frameworks and offers an easy interface for configuration and customization, so users can tailor models for tasks like natural language processing, text generation, and data analysis. By running models locally, LM Studio keeps data on the user’s device, giving them greater privacy and control while removing reliance on external servers. This makes LM Studio different from many competitors that require cloud access or single-framework support, as it emphasizes local execution, privacy, and broad compatibility. The goal is to help developers, researchers, and enthusiasts use AI tools securely and efficiently, integrating local LLMs into their workflows and projects.

Company size
11-50
Company stage
Early VC
Total funding
$19.3M
Headquarters
New York City, New York
Founded
2023

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