---
title: 'Office Manager & Executive Assistant at Liquid AI'
canonical: 'https://feeny.ai/job/office-manager-executive-assistant-liquid-ai-boston-dz1rgs3c6wcf'
type: 'job'
last_seen: '2026-11-03'
---

# Office Manager & Executive Assistant at Liquid AI

- **Company:** Liquid AI
- **Location:** Boston, MA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-28
- **Last confirmed live:** 2026-11-03
- **Apply:** https://jobs.ashbyhq.com/liquid-ai/11734a0b-9cd9-4b71-838c-c8d488a7e2da

## 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'll run our Boston office end to end: the space, the vendors, the budget, and the day-to-day experience of everyone who walks through the door, from employees and new hires to partners and visitors. This is where most of your time will go, and it should be the part of the job you're most excited about. Alongside it, you'll be Executive Assistant to our Co-Founder and Chief Science Officer, who leads Liquid's research agenda and works closely with partners, academia, and the wider AI community, handling his calendar, travel, and preparation so his time goes to the highest-leverage work. It's a deliberately broad, in-person role, five days a week in our Boston office: one hour you're managing a vendor or setting up an evening event, the next you're reworking a week of research and partner meetings.

## What We're Looking For

We need someone who:

- Treats the office as a product: You notice what's broken, low, or off before anyone else and fix it without being asked, and you take as much pride in the details of a Tuesday as in a flawless offsite.
- Runs operations like a business: You manage vendors, contracts, and spend with rigor, and you're comfortable being the person accountable for how the office runs.
- Executes cleanly, then anticipates: You take direction and follow it through accurately, and over time you get ahead of it: reviewing the week, spotting gaps in preparation, and surfacing conflicts before anyone asks.
- Thrives in ambiguity: Priorities shift, schedules change, and new work-streams appear. You treat these as puzzles to solve, not disruptions to endure.
- Operates across audiences: You're equally comfortable coordinating with building management, researchers, and senior external partners.

The Work

- Run day-to-day operations of the Boston office (supplies, kitchen and catering, mail and deliveries, seating, workspace upkeep) and keep improving processes, tooling, and space planning as the team grows
- Manage facilities vendors and the building management relationship, including contracts, service issues, and access and badging, and own the office and events budget, tracking spend and flagging variances
- Be the on-site point of contact and first face of the office for visitors, partners, and new hires, from desk setup and IT equipment coordination on someone's first day to the logistics and atmosphere of high-value partner visits
- Plan and run Boston office events, team socials, dinners, and offsites, from vendor sourcing to budget, with occasional travel (3 to 5 times a year) for events
- Manage the CSO's calendar and coordination on his direction: scheduling, briefing materials and agendas ahead of meetings, and tracking follow-ups and commitments afterward
- Coordinate the CSO's domestic and international travel, act as a point of contact for people seeking time with him, and provide backup coverage for other executive assistants

## Experience & Capabilities

What you'll need:

- Experience running office or facilities operations, or clearly transferable experience coordinating vendors, suppliers, or many outside parties toward an outcome, including contracts and spend
- Experience planning events and working with vendors to deliver them
- Experience supporting a manager or executive, with examples of taking initiative beyond the core administrative work
- Calendar and travel coordination experience
- Business context awareness: you understand the "why" behind meetings, not just the logistics, and can flag when priorities conflict
- Skilled in Google Workspace

Helpful, not required:

- Standing up or scaling office operations in a growing company
- Hosting external partners or clients in professional settings
- Supporting a technical, research, or academic leader
- Coordinating complex or international travel for a leader with heavy external and speaking commitments
- Slack experience

What Success Looks Like (Year One)

- The Boston office runs itself as far as anyone can tell: functional, welcoming, and a place people want to work from
- Boston events run smoothly and on budget, and partner visits consistently leave a strong impression
- Vendors, contracts, and the office budget are under control, with no surprises
- The CSO's calendar is structured around research and high-leverage external work, giving him back hours each week
- Nothing slips: meetings are prepared, follow-ups are tracked, and the CSO can hand you a task knowing it will get done

## What We Offer

- Ownership and access: A space, a budget, and a set of vendors that are yours to run, with direct exposure to a co-founder and the research leadership of a frontier AI lab.
- 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

- [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
- [Member of Technical Staff - Applied ML, RecSys](https://feeny.ai/job/member-of-technical-staff-applied-ml-recsys-liquid-ai-boston-njmshfbyy3kq) — Boston, MA
- [Developer Relations](https://feeny.ai/job/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
- [Strategic Business Development](https://feeny.ai/job/strategic-business-development-liquid-ai-san-francisco-xb9vz7j1b4v8) — San Francisco, CA
- [Member of Go-to-Market Staff](https://feeny.ai/job/member-of-go-to-market-staff-liquid-ai-north-america-l-san-francisco-boston-3h9m36kbxe17) — North America L San Francisco Boston, OR
- [Member of Technical Staff -  Inference Systems](https://feeny.ai/job/member-of-technical-staff-inference-systems-liquid-ai-boston-n21ddyv32pqs) — Boston, MA
- [Member of Technical Staff - ML Scientist, Japanese Multimodal](https://feeny.ai/job/member-of-technical-staff-ml-scientist-japanese-multimodal-liquid-ai-tokyo-b1sxex046dg8) — Tokyo, Japan
- [Member of Technical Staff - Applied ML, Japanese Multimodal](https://feeny.ai/job/member-of-technical-staff-applied-ml-japanese-multimodal-liquid-ai-tokyo-hv79bwy6nmkk) — Tokyo, Japan