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Account Executive

Liquid AI - San Francisco, United States, Boston, Remote

Posted May 15, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Salary
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401(k) match
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Market context

Median wage (BLS OEWS)
$57,704 national median
Projected growth (BLS Employment Projections)
+0.9% - Slower

Matched to SOC 41-2031 - Sales aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work
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Application

Cover letter
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Assessment
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Deadline
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Where they hire

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About this role

Account Executive San Francisco, United States, Boston, Remote 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 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. What We're Looking For 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. - Knows the AI landscape: You've recently sold AI/ML infrastructure, developer tools, or platform products. You understand how technical buyers evaluate model performance, latency, and deployment tradeoffs. This context is non-negotiable at our stage. - Has deep empathy: We value sellers who build trust through a genuine understanding of prospects, their business,

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