About The Position

Spun out of MIT CSAIL, Liquid AI builds 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. They partner with enterprises across consumer electronics, automotive, life sciences, and financial services. The company is scaling rapidly and needs exceptional people to help them achieve their goals. This role is for an early enterprise sales hire who will own the full sales cycle: prospecting through close, selling Liquid Foundation Models to technical leaders at enterprises. The individual will work directly with founders and GTM leadership to shape pricing, packaging, and deal strategy while building the playbook for future team scaling.

Requirements

  • Obsessed with selling: energized by running deals, with meaningful revenue closed, and the drive to keep doing it.
  • Knows the AI landscape: recently sold AI/ML infrastructure, developer tools, or platform products. Understands how technical buyers evaluate model performance, latency, and deployment tradeoffs.
  • Deep empathy: values sellers who build trust through a genuine understanding of prospects, their business, and their challenges. Listening more than talking. Earning credibility through curiosity, not pressure.
  • Thrives in the building phase: has built a process while hitting a number before, and wants to do it again at a company where the commercial motion is theirs to define.
  • Recent experience selling at an AI company (currently or within the last 2 years), with demonstrated ability to hold credible technical conversations with CTOs, VPs of Engineering, and Heads of AI/ML
  • 5+ years of closing experience in B2B software sales with a track record of meeting or exceeding quota
  • Experience building a pipeline through a combination of self-sourced outbound, network-driven leads, and inbound qualification
  • Prior experience at a Series A-C startup or early-stage environment building the sales motion, not just running an existing one
  • Comfort with consultative, longer-cycle enterprise sales involving multiple stakeholders, technical evaluations, and complex procurement

Nice To Haves

  • Experience selling into consumer electronics, automotive, life sciences, or financial services verticals
  • Familiarity with ML concepts: 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

Responsibilities

  • Own the full sales cycle from prospecting and outbound through negotiation, close, and handoff
  • Build and manage a qualified pipeline across target verticals, using modern outbound tools and your own network to increase deal velocity
  • Lead discovery calls, product demos, and technical deep-dives with our engineering team, including proof-of-concept evaluations and benchmarking cycles
  • Navigate complex enterprise procurement across legal, security, and technical evaluation stakeholders
  • Partner with founders on pricing, packaging, and deal structures for enterprise engagements
  • Feed frontline market intelligence back to product and leadership: objections, competitor signals, pricing feedback, and use-case trends
  • Build our sales playbook: document what works, create repeatable processes, and lay the foundation for scaling the GTM team

Benefits

  • Competitive base salary + variable compensation with equity in a unicorn-stage company
  • We pay 100% of medical, dental, and vision premiums for employees and dependents
  • 401(k) matching up to 4% of base pay
  • Unlimited PTO plus company-wide Refill Days throughout the year
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