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Liquid Compute
A regulated exchange and clearinghouse for AI compute
Last verified September 18, 2026 · Updated daily
What Liquid Compute is building
Liquid Compute is building the capital-markets layer for GPU capacity: a physical order book where neoclouds, AI labs and trading firms buy and sell verified compute, plus a regulated derivatives venue on top of it. Their exchange arm, PMEX Markets, has applications pending with the CFTC for Designated Contract Market (DCM) and Derivatives Clearing Organization (DCO) status. If approved, it would be the first regulated venue trading both cash-settled and physically-settled contracts on AI infrastructure. The founding thesis is in their launch essay, 'Compute is a Grid, Not a Barrel.' Oil can sit in a tank; a GPU-hour that goes unused this afternoon is gone forever, and its value depends on location, configuration, availability and workload fit. That makes compute look like electricity, not crude, and power markets solved this with standardized contracts, reference prices and central clearing rather than bilateral deals. Liquid Compute is copying that playbook: verifiable infrastructure with defined performance specs, credible physical reference prices, Exchange-for-Physical markets, and a common clearing framework so a participant can take a position on compute without becoming a cloud operator, a credit underwriter or an AI company. The product has three layers today: buy/sell capacity, trade GPU indices, and finance compute (credit). They have already signed trading and data-licensing partnerships with Susquehanna, BGC Group and Wintermute, which is the institutional plumbing you need before a derivatives market can print a real price. The research page reads like a market operator's notes: term structure in GPU rental rates, hedging compute price exposure, and why mid-tier profitable operators can't get financed.
Why this matters
Compute is already trading, just badly. Liquid Compute's own research shows GPU rental rates already vary by commitment duration, forming a tradable term structure with no venue to trade it on. Every neocloud carries unhedged price exposure on hardware it financed with debt; every AI lab carries unhedged exposure on the other side. The precedent the founders cite is exactly right: ICE in energy and CBOE in volatility were startup entrants that won by getting regulated status first, and they captured most of the financial value in those markets. The CFTC applications are the moat. With Susquehanna, BGC and Wintermute signed before launch, this is a market-structure company that happens to be about GPUs, not a GPU company that dabbles in finance.
Open roles at Liquid Compute
4 positions we're tracking. Roles are re-checked daily and removed when filled.
Head of Go-to-Market (NY / SF)
First seen today
Head of Compute Supply (NY / SF)
First seen today
Senior Software Engineer, Infrastructure (NY)
First seen today
Compliance / Market Operations (stated use of funds)
First seen today
Know when Liquid Compute is hiring before anyone else
A role stays uncontested for about four days. Here's the window — and where we put you in it.
From $5.99/week, cancel any time.
Watching Liquid Compute
0 applicantsRole spotted & verified
1You get the alert
1You've applied
~8Hits the job boards
250+Hiring outlook
Careers page has three live roles (Head of GTM, Head of Compute Supply, Senior Software Engineer Infrastructure), the YC listing shows Head of GTM at $150-200K + 0.10-0.30% equity, and the press release names compliance and market-operations hires as a use of funds. The careers page literally says 'We hire ahead of the org chart.'
Working at Liquid Compute
Liquid Compute is a AI company based in New York, USA. Working at a AI company at this stage means opportunity to shape your role based on the company stage.
New York, USA is where most Liquid Compute positions are located.
How to actually get hired at Liquid Compute
Why applying the normal way doesn't work
Liquid Compute runs an applicant tracking system, but hiring managers still work referrals first. A cold application to Liquid Compute isn't dead, it's just fourth in line behind internal referrals, sourced candidates and recruiter pipelines.
Who to contact at Liquid Compute
What to show them
Build a small matching engine for a physically-settled compute contract: standardized spec (GPU SKU, region, duration, interconnect), price-time priority order book, and a delivery-verification step that checks the seller's capacity is real before settlement. Show how you'd handle a partial fill when the physical capacity is 80% of what was posted.
A cold email that works at Liquid Compute
What Liquid Compute screens for
FirstMark and Chemistry co-leading a market-structure company, with Balyasny as an angel and Susquehanna, BGC and Wintermute as counterparties, tells you the buyers are trading firms, not developers. The team is ~5 people and the three open roles are all senior 'Head of' or 'Senior' titles, so the next ten hires define the org. Their careers page asks you to write about 'what you would own and why it matters to a market this young.' Take that literally: the pitch that wins is a specific ownership claim, not a resume.
A tailored CV beats a generic one. Use Liquid Compute's job description language to clear filters.
Don't make these mistakes
Do not pitch Ronit on 'the future of AI' or 'GPU shortages.' He wrote a Substack piece on AI credit repricing and the team's research covers hedging, term structure and middle-market compute credit. Generic 'compute is the new oil' framing is the exact metaphor their launch essay argues against. Also skip crypto-exchange analogies; they are pursuing CFTC DCM/DCO status, which is a different regulatory universe. Lead with market microstructure, clearing, or actual neocloud supply relationships.
Mistakes that kill Liquid Compute applications
Generic CVs stand out at a -person company — and not in a good way. Fastest path to rejection.
Don't open with what you want. Open with what Liquid Compute is dealing with right now — Compute is already trading, just badly, and what you'd do about it.
Most AI applications get ghosted. A day-five follow-up can double your response rate.
Applying to Liquid Compute? Get the contact, not the form.
The Liquid Compute interview process
4 stages · 14 days typical · take-home: yes · modelled from similar companies
We don't yet have verified candidate reports for Liquid Compute. What follows is the typical process for a -person AI company — treat it as a model, not confirmed detail.
Interview stages
Recruiter Screen
Phone or video · 30 min
Basic qualification and logistics
Recruiter or HR
Hiring Manager Interview
Video call · 45 min
Role fit and experience deep-dive
Hiring manager
Technical/Functional Round
Video call · 60 min
Skills assessment and problem-solving
Team members
Final Round
In-person or video · 60 min
Culture fit and cross-functional alignment
Senior leadership
Liquid Compute take-home assignment
Liquid Compute includes a take-home exercise in their interview process. For AI roles, this typically involves a practical problem that takes 2-4 hours. Focus on clean, working code over premature optimization. They're evaluating how you think and communicate, not just the solution.
Liquid Compute interview timeline
Timeline: ~ days. That's about average than the AI median (14 days at people).
Interviewed at Liquid Compute?
Tell us how it went — stages, questions, timeline. Takes 90 seconds and it's how this page stays accurate for the next person.
Submit your Liquid Compute interview experience →Liquid Compute jobs, frequently asked questions
How many jobs does Liquid Compute have open?
As of September 2026, Liquid Compute has 4 open positions.
Does Liquid Compute hire remotely?
All current Liquid Compute roles are based in New York, USA.
What roles is Liquid Compute hiring for?
Liquid Compute is hiring across Marketing, Other, Engineering. The most recent opening is Head of Go-to-Market (NY / SF).
How do I apply for a job at Liquid Compute?
Apply via the links above. For tips, read our guide on how to get hired at Liquid Compute.
Does Liquid Compute respond to cold emails?
Not enough data yet on Liquid Compute's cold email response rates.
Who is the hiring manager at Liquid Compute?
At this size, hiring is usually run by the hiring manager.
How competitive is it to get hired at Liquid Compute?
Expect 100-250 applicants in the first two weeks for AI roles at this size. Apply within 72 hours for best odds.
How many rounds is the Liquid Compute interview?
4 stages: Recruiter Screen, Hiring Manager Interview, Technical/Functional Round, Final Round.
Is the Liquid Compute interview hard?
Expect technical depth and system design, not algorithm trivia. Candidates report Technical Interview as the toughest stage.
Does Liquid Compute give a take-home task?
Yes, Liquid Compute includes a take-home assignment.
How long does Liquid Compute take to get back to you?
Around 14 days across the full process.
What should I prepare for the Liquid Compute interview?
technical depth and system design is the priority. Show you can work autonomously — that matters more than algorithms at people.
Where is Liquid Compute based?
Liquid Compute is headquartered in New York, USA.
Get Liquid Compute roles before they're posted
A role stays uncontested for about four days. Here's the window — and where we put you in it.
From $5.99/week, cancel any time.
Watching Liquid Compute
0 applicantsRole spotted & verified
1You get the alert
1You've applied
~8Hits the job boards
250+Related
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