
location_onFirst Drive West, San Francisco, California, 94129, United States
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. Our technology ensures 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.
We have early enterprise traction and a product that solves real problems for technical buyers. What we don't have yet is a repeatable commercial engine. This is one of our first sales hires, and you will own the full sales cycle: prospecting through close, selling Liquid Foundation Models to technical leaders at enterprises across consumer electronics, automotive, life sciences, and financial services. You'll work directly with our founders and GTM leadership to shape pricing, packaging, and deal strategy while building the playbook the team scales on.
We need someone who is obsessed with selling—not management, not BD, not player-coach. We need someone energized by running deals, with meaningful revenue closed, and the drive to keep doing it, where every deal matters. You must know the AI landscape, having recently sold AI/ML infrastructure, developer tools, or platform products, and understand how technical buyers evaluate model performance, latency, and deployment tradeoffs. This context is non-negotiable at our stage.
We value sellers who build trust through genuine understanding of prospects, their business, and their challenges. We prioritize listening more than talking and earning credibility through curiosity, not pressure. Finally, we need someone who thrives in the building phase. Our playbook does not exist yet, and we see that as the appeal, not the risk. You've built a process while hitting a number before, and you want to do it again at a company where the commercial motion is yours to define.
In your first year, you will close net new revenue from self-sourced and self-managed deals, directly contributing to our B2B revenue targets. You will ensure our sales playbook exists and works, documenting qualification criteria, pricing frameworks, objection handling, and handoff processes so the next hire can use them on day one. Ultimately, GTM leadership will rely on your judgment for deal strategy, pricing, and pipeline prioritization.
This role allows you to build our commercial engine, shaping how Liquid AI sells rather than inheriting someone else's playbook. The work directly determines whether our technology reaches the market. We offer a competitive base salary plus variable compensation with equity in a unicorn-stage company. We pay 100% of medical, dental, and vision premiums for employees and dependents, and provide 401(k) matching up to 4% of base pay. Additionally, we offer unlimited PTO plus company-wide Refill Days throughout the year.
Work model: On-site
First Drive West, San Francisco, California, 94129, United States
San Francisco, California
Experience selling into consumer electronics, automotive, life sciences, or financial services verticals. Familiarity with ML concepts including model training, fine-tuning, inference, and on-device deployment. Proficiency with modern outbound and pipeline tools. Existing relationships with technical decision-makers at target enterprise accounts.
Liquid AI operates within the information services sector, headquartered in Cambridge, Massachusetts. The organization focuses on developing efficient general-purpose artificial intelligence solutions designed to function across a wide range of operational scales. By prioritizing efficiency, the company aims to deliver adaptable technology that meets diverse computational needs without unnecessary resource overhead. This approach allows Liquid AI to address complex challenges through versatile AI architectures that can be deployed effectively in various environments. The firm's work centers on creating foundational models that remain performant regardless of the specific application context or size of the deployment. As an entity based in the technology hub of Cambridge, Liquid AI contributes to the broader landscape of information services by advancing the practical implementation of scalable artificial intelligence.
Browse more roles: All Liquid AI jobs, sales jobs on Recrutus.
Experience
5+ yrs (Senior)
Job Type
Full-Time