New York City
2 months ago

Job Overview

Job Type
FullTime
Pay
$170K – $270K

Job description

Salary:
USD 170,000 - 270,000 per year
Location:
New York City, United States
Work arrangement:
On-site

Role Summary

As LM Studio’s first Enterprise Sales Lead, you’ll own the full inbound sales cycle: from first communication, to demo, to proof of concept, to closing, to expansion.

The opportunity is enormous, and we are looking for someone who thinks big, has high agency, and is an exceptional team player.

Responsibilities

  • Develop processes and systems for capturing massive inbound interest from large enterprises
  • Convert inbound interest to high-value deals, with an eye always toward closing
  • Identify power users and look for opportunities to expand usage from team-specific to enterprise-wide

Requirements

  • 5+ years’ experience working in and closing B2B SaaS deals
  • Skilled at navigating complex enterprises, identifying key stakeholders, and resolving deal roadblocks
  • Highly organized and process-minded, excited to help build something from the ground up
  • Strong communicator and exceptional at building and maintaining relationships
  • Technically fluent, genuinely interested in software, and well versed in what is happening in AI broadly and open-weight models in particular

BONUS QUALIFICATIONS

  • Computer Science or similar degree

Benefits

  • Competitive salary and equity grants
  • Great medical, vision, dental healthcare plans
  • Catered team lunch / expensed dinners in the office
  • Flexible PTO
  • Flexible WFH
  • Sun-drenched office in SoHo in NYC
Role:
GTM, Enterprise
Job Type:
FullTime

Company profile

lm-studio

lmstudio.ai

LM Studio is software for running and using large language models locally on personal computers. It provides tools for downloading and managing models, chatting with them and serving local models to other applications through an API, using llama.cpp for GGUF models and Apple's MLX framework on Apple silicon. Its Bionic agent creates documents, slides, PDFs and software with local or frontier open models.

Founded
2023

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