---
title: 'Member of Recruiting Staff - Recruiter at Liquid AI'
canonical: 'https://feeny.ai/job/member-of-recruiting-staff-recruiter-liquid-ai-san-francisco-5q4n46nad1m3'
type: 'job'
last_seen: '2026-11-10'
---

# Member of Recruiting Staff - Recruiter at Liquid AI

- **Company:** Liquid AI
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-11-07
- **Last confirmed live:** 2026-11-10
- **Apply:** https://jobs.ashbyhq.com/liquid-ai/288e7be0-5547-4fe5-b8db-fca0a9ae663f

## Job description

## About Liquid AI

Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there.

The Opportunity You will own searches from intake through close across Business, Go-to-Market, G&A, People Operations, and Product. Working directly with hiring managers, business leaders, and founders, you will help build the teams that bring Liquid to customers and support our growth. You will build your own pipeline, run your searches, manage candidate and hiring-manager relationships, and help build the recruiting function as you operate it.

## What We're Looking For

We need someone who:

- Loves the craft: You go deep on the company, role, and talent market, and form a clear view of how to find and engage the right people.
- Owns the outcome: You identify what is holding a search back, decide what to do next, and keep it moving without waiting to be chased.
- Builds trust on both sides: You understand what candidates and hiring managers care about, communicate directly, and push back when the evidence calls for it.

The Work

- Own searches from role intake and market mapping through sourcing, assessment, interviews, offer, and close.
- Build your own pipeline through direct sourcing, referrals, research, professional communities, events, and other creative channels, with thoughtful, individualized outreach.
- Partner with hiring managers to define what exceptional looks like, turn ambiguous hiring needs into clear searches, and keep those 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 before anyone asks, and use market and pipeline evidence to improve the search.

## Experience & Capabilities

What you'll need:

- Full-cycle recruiting experience, including personally sourcing candidates and owning searches through close.
- Depth in one or more of the hiring markets covered by this role, with a clear understanding of how to identify strong candidates.
- Evidence that you can find and engage hard-to-reach candidates without relying on inbound 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 you recruit.
- Based in San Francisco and able to work from our office four days per week.

Helpful, not required:

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

What Success Looks Like (Year One)

- You independently own your portfolio of searches from intake through close and consistently create your own pipeline.
- You win competitive candidates by understanding what matters to them and making a compelling case for Liquid.
- Hiring managers trust you as a partner in defining roles, evaluating talent, and making hiring decisions.
- Your improvements help the team source, assess, close, or learn from hires more effectively.

## What We Offer

- Build the hiring system: Own searches from intake through close, work directly with business leadership and founders, and help shape how Liquid identifies, assesses, and closes exceptional people as we scale.
- Compensation & Equity: Competitive base salary plus equity, so you share in what we build. Final offers reflect skills, experience, and location.
- Time Off: Unlimited PTO, plus company-wide Refill Days, long weekends when the whole company rests together.
- Health & Wellbeing: Comprehensive health coverage, with details varying by location.
- Paid Leave: Paid leave for pregnancy, parenting, medical needs, and caring for family.

## About Liquid AI

## Company Overview
- **One-liner**: Liquid AI builds efficiency-first, general-purpose foundation models designed to run on-device and at the edge, delivering state-of-the-art performance with minimal compute.
- **Entity Type**: Private (Series A)
- **Headquarters**: Cambridge, Massachusetts, United States
- **Founded**: 2023
- **Founders**: Ramin Hasani (CEO), Mathias Lechner (CTO), Alexander Amini (CSO), Daniela Rus

## Core Business
- **Primary Industry**: Artificial Intelligence / Foundation Models
- **Target Customers**: B2B; Enterprise (e.g., automotive, finance, defense, e-commerce, biotech); developers building on-device or edge AI applications.
- **Mission**: To build efficient general-purpose AI at every scale — highly capable, compute-optimized, and ready to run on any device.

## Products & Services
- **Liquid Foundation Models (LFMs)**: A new generation of generative AI models optimized for on-device and edge deployment. They achieve state-of-the-art performance with a smaller memory footprint and more efficient inference than traditional transformers. Models range from 230M to 24B parameters, including specialized variants for vision (VL), multilingual search (Retrievers), and mixture-of-experts (MoE).
- **Liquid Edge AI Platform (LEAP)**: A full-stack SDK for fine-tuning, baking, and deploying LFMs to production. Supports runtimes like llama.cpp, MLX, ONNX, CoreML, SGLang, and vLLM, enabling rapid customization and deployment.
- **Research & White-Box Models**: The company publishes its research on liquid neural networks and state-space models in the open, emphasizing explainable, traceable AI over black-box approaches.

## Market Standing
- **Valuation**: Not publicly disclosed.
- **Key Metric**:
  - **Total Funding**: $293.2M
  - **Annual Revenue**: $34.5K (early-stage; likely pre-revenue or nominal)
- **Notable Investors/Partners**: AMD Ventures (led Series A), OSS Capital, Stephen Pagliuca; partners include Mercedes-Benz (in-car intelligence), Insilico Medicine (drug discovery), and hardware/infrastructure providers.
- **Growth Signals**:
  - Headcount of ~91 employees (as of mid-2026), with 8% monthly growth.
  - Active job postings: 18 (quarterly growth of +63.6%).
  - Rapid international expansion: operates in 12 countries including Japan, Germany, Spain, and France.
  - Recent product launch: LFM2.5 series (June 2026) — next-gen on-device models.
  - Strong talent pipeline: hires from MIT CSAIL, Stanford, Amazon, Meta, and Citadel.

## Competitive Advantages
- **Efficiency-First Architecture**: LFMs are designed from the ground up for compute- and cost-optimized inference, enabling deployment on phones, laptops, cars, and other edge devices where traditional LLMs are too large or slow.
- **White-Box Explainability**: The company prioritizes transparent, inspectable models over black-box systems — a key differentiator for regulated industries.
- **Rapid Customization**: The LEAP SDK allows clients to fine-tune and deploy specialized models in minutes, not weeks.
- **Strong Academic Roots**: Spun out of MIT CSAIL with a founding team of world-class researchers in liquid neural networks and state-space models.

## Strategic Focus
- **On-Device & Edge AI**: Primary growth vector is bringing advanced intelligence to processors outside data centers (automotive, mobile, IoT, defense).
- **Enterprise Partnerships**: Deepening collaborations with Mercedes-Benz (automotive) and Insilico Medicine (biotech) to embed LFMs into real-world products.
- **International Expansion**: Building out teams in Japan, Europe, and beyond to capture global demand for localized, on-device AI.
- **Model Line Expansion**: Continuously releasing new model sizes and modalities (vision, retrieval, MoE) to cover a broader range of use cases.

## Why Work Here
- **Mission-Driven & High-Impact**: Work on frontier AI research and products that directly shape how intelligence is deployed in the physical world.
- **Culture of Ownership**: “Leadership sets the destination, but the route is yours to discover and deliver” — high autonomy and trust, with a focus on building over process.
- **Transparent & Meritocratic**: Decisions are documented and traceable; ideas are valued based on evidence, not hierarchy.
- **Global & Diverse Team**: 91 employees across 12 countries; 30% in technical roles, 9% in research. Offices in Cambridge, MA (HQ) and satellite hubs in Japan and Europe.
- **Perks & Environment**:
  - Hybrid/office policy (Cambridge HQ with multiple local offices).
  - Strong emphasis on employee wellbeing: “the company prioritizes the needs and wellbeing of its people.”
  - Continuous learning culture: “everyone is expected to continuously fine-tune their skills.”
- **Recent Open Roles (as of mid-2026)**: ML Research Engineer, Applied ML (RecSys, Vision, Post-Training), Distributed Training Engineer, Solutions Architect, Founding Account Executive, Finance Manager.

## Sources
1. [Liquid AI Official Company Page](https://www.liquid.ai/company)
2. [Liquid AI Official Homepage](https://www.liquid.ai/)
3. [Liquid AI Careers Page](https://jobs.ashbyhq.com/liquid-ai)
4. [Liquid AI LinkedIn](https://www.linkedin.com/company/liquid-ai-inc)
5. [Liquid AI About Page](https://www.liquid.ai/company/about)

## Other roles at Liquid AI

- [Associate General Counsel, Product & Regulatory](https://feeny.ai/job/associate-general-counsel-product-regulatory-liquid-ai-san-francisco-cv1mmvgze9a6) — San Francisco, CA
- [Strategic Partnerships, Silicon Ecosystem](https://feeny.ai/job/strategic-partnerships-silicon-ecosystem-liquid-ai-san-francisco-0rdqr4ah7ven) — San Francisco, CA
- [People Operations Manager](https://feeny.ai/job/people-operations-manager-liquid-ai-san-francisco-e0f7yan7ee9e) — San Francisco, CA
- [Strategic Business Development, Startups Lead](https://feeny.ai/job/strategic-business-development-startups-lead-liquid-ai-san-francisco-pg3krfkentsx) — San Francisco, CA
- [Member of Technical Staff - ML Research Engineer, Pre-Training Data](https://feeny.ai/job/member-of-technical-staff-ml-research-engineer-pre-training-data-liquid-ai-san-wgts2we7mtcg) — San Francisco, CA
- [Office Manager & Executive Assistant](https://feeny.ai/job/office-manager-executive-assistant-liquid-ai-boston-dz1rgs3c6wcf) — Boston, MA
- [Member of Technical Staff - Applied ML, RecSys](https://feeny.ai/job/member-of-technical-staff-applied-ml-recsys-liquid-ai-boston-njmshfbyy3kq) — Boston, MA
- [Member of Technical Staff - Developer Relations](https://feeny.ai/job/member-of-technical-staff-developer-relations-liquid-ai-san-francisco-cxa12bxjfrdn) — San Francisco, CA
- [Strategic Business Development, Life Sciences](https://feeny.ai/job/strategic-business-development-life-sciences-liquid-ai-boston-abmzewrv1rne) — Boston, MA
- [Controller](https://feeny.ai/job/controller-liquid-ai-san-francisco-k2rh6jk06zz6) — San Francisco, CA