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Liquid AI

Provides generative, edge-capable foundation models

Member of Recruiting Staff - Recruiter

Generalist RecruitingPosted on Nov 7
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • Full-cycle recruiting experience, including personally sourcing candidates and owning searches through close.
  • Depth in one or more of the hiring markets covered by the role, with a clear understanding of how to identify strong candidates.
  • Evidence of finding and engaging hard-to-reach candidates without relying on inbound applications or brand alone.
  • Strong candidate judgment and experience navigating competitive closes.
  • Ability to learn unfamiliar functions and markets quickly and become credible with the people recruited.
  • Based in San Francisco and able to work from the office four days per week.

Responsibilities

  • Own searches from role intake and market mapping through sourcing, assessment, interviews, offer, and close.
  • Build a candidate pipeline through direct sourcing, referrals, research, professional communities, events, and other creative channels, using thoughtful, individualized outreach.
  • Partner with hiring managers to define what exceptional looks like, turn ambiguous hiring needs into clear searches, and keep searches moving.
  • Manage candidates with the close in mind from the first conversation, understand what drives their decisions, and build the case for Liquid throughout the process.
  • Run a disciplined operation in Ashby, surface stalled searches proactively, and use market and pipeline evidence to improve the search.

Desired Qualifications

  • Experience recruiting across multiple business or corporate functions, or for Product and Solutions Architecture roles in a technology company.
  • Early-stage experience helping build the recruiting function.
  • Experience with hiring-manager coaching, interview design, recruiting analytics, or complex offers.

About the Company

Liquid AI

Provides generative, edge-capable foundation models

Liquid AI builds and deploys foundation models based on liquid neural networks, focusing on efficient, on-device AI. It develops Liquid Foundation Models (LFMs), a family of generative AI models designed to be smaller and more computation-efficient than typical large language models, enabling deployment on edge devices with lower latency, better privacy, and reduced infrastructure costs. The approach includes end-to-end AI expertise and customizable architectures for enterprises that require real-time performance and private processing. Compared to traditional AI providers, Liquid AI emphasizes edge-ready, adaptable models that run efficiently on constrained hardware, and it targets enterprise-grade, private, reliable AI solutions. The company’s goal is to enable real-time, on-device AI at scale for businesses by offering compact, capable foundation models and the tools to customize them for specific applications.

Company size
51-200
Company stage
Series A
Total funding
$287.5M
Headquarters
Brookline, MA
Founded
2023

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