Liquid AI Visa Sponsorship USA
Liquid AI is an AI research and development company building next-generation foundation models and infrastructure. The company sponsors H-1B visas and supports F-1 OPT and CPT transitions, making it a viable path for international candidates in machine learning, systems research, and applied AI roles.
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Get Access To All JobsLocation
San Francisco; Boston; Remote
Employment Type
Full time
Location Type
Hybrid
Department
Sales
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, and their challenges. Listening more than talking. Earning credibility through curiosity, not pressure.
- Thrives in the building phase: Our playbook does not exist yet. 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.
The Work
- 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
Desired Experience
Must-have:
- 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-have:
- 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
What Success Looks Like (Year One)
- Closed net new revenue from self-sourced and self-managed deals, directly contributing to our B2B revenue targets
- Our sales playbook exists and works: qualification criteria, pricing frameworks, objection handling, and handoff processes are documented so the next hire can use them on day one
- GTM leadership relies on this hire’s judgment for deal strategy, pricing, and pipeline prioritization
What We Offer
- Build our commercial engine: This role shapes how Liquid AI sells, not inheriting someone else’s playbook. The work directly determines whether our technology reaches the market.
- Compensation: Competitive base salary + variable compensation with equity in a unicorn-stage company
- Health: We pay 100% of medical, dental, and vision premiums for employees and dependents
- Financial: 401(k) matching up to 4% of base pay
- Time Off: Unlimited PTO plus company-wide Refill Days throughout the year
Location
San Francisco; Boston; Remote
Employment Type
Full time
Location Type
Hybrid
Department
Sales
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, and their challenges. Listening more than talking. Earning credibility through curiosity, not pressure.
- Thrives in the building phase: Our playbook does not exist yet. 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.
The Work
- 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
Desired Experience
Must-have:
- 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-have:
- 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
What Success Looks Like (Year One)
- Closed net new revenue from self-sourced and self-managed deals, directly contributing to our B2B revenue targets
- Our sales playbook exists and works: qualification criteria, pricing frameworks, objection handling, and handoff processes are documented so the next hire can use them on day one
- GTM leadership relies on this hire’s judgment for deal strategy, pricing, and pipeline prioritization
What We Offer
- Build our commercial engine: This role shapes how Liquid AI sells, not inheriting someone else’s playbook. The work directly determines whether our technology reaches the market.
- Compensation: Competitive base salary + variable compensation with equity in a unicorn-stage company
- Health: We pay 100% of medical, dental, and vision premiums for employees and dependents
- Financial: 401(k) matching up to 4% of base pay
- Time Off: Unlimited PTO plus company-wide Refill Days throughout the year
Job Roles at Liquid AI Companies
How to Get Visa Sponsorship in Liquid AI Visa Sponsorship USA
Target research and engineering roles first
Liquid AI's sponsorship activity centers on technical talent in AI research, model development, and software infrastructure. Focus your application on roles where your background in machine learning, systems engineering, or applied AI aligns directly with the company's core work.
Time your application around H-1B cap deadlines
H-1B cap registrations open each March for an October 1 start date. If you're targeting Liquid AI sponsorship, aim to secure an offer well before February so your employer has time to prepare the filing before registration closes.
Highlight specialized AI expertise in your application
Liquid AI competes for a narrow pool of deep technical talent. Emphasize published research, specialized frameworks, or hands-on experience with foundation model training, the kinds of credentials that make H-1B specialty occupation justification straightforward for a company like this.
Use Migrate Mate to find verified sponsoring roles
AI startups can be hard to track for sponsorship history. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history and identify open roles at companies like Liquid AI that have actually filed for work visas.
Engage early if you're on CPT
F-1 CPT authorization requires a formal offer and academic program alignment before work begins. If you're still in school, reaching out to Liquid AI's recruiting team early gives you time to coordinate the offer letter and CPT authorization before your intended start date.
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Get Access To All JobsFrequently Asked Questions
Does Liquid AI sponsor H-1B visas?
Yes, Liquid AI sponsors H-1B visas. As an AI research and development company, it hires for highly specialized technical roles in machine learning and systems engineering, positions that typically meet the H-1B specialty occupation standard. If you're targeting H-1B sponsorship, focus on roles where your technical background maps directly to the company's core research and product work.
Which visa types does Liquid AI support for international candidates?
Liquid AI sponsors H-1B visas and supports F-1 OPT and CPT work authorization. This makes the company accessible to international students still completing degrees as well as recent graduates working through their OPT period. Green Card sponsorship is not part of Liquid AI's recent filing history, so long-term permanent residence pathways are less established at this stage.
What types of roles at Liquid AI are most likely to receive visa sponsorship?
Sponsorship at Liquid AI is concentrated in technical disciplines: AI research, foundation model development, machine learning engineering, and software infrastructure. These are the roles that require specialized knowledge and satisfy H-1B specialty occupation requirements most clearly. Candidates with advanced degrees or deep hands-on experience in these areas are the strongest fit for sponsored positions.
How do I find open visa-sponsored jobs at Liquid AI?
Migrate Mate is the most direct way to find roles at companies like Liquid AI that have a verified visa sponsorship history. You can filter by company, visa type, and industry to surface positions where sponsorship is genuinely on the table, rather than relying on job postings that may not disclose immigration support upfront.
How do I improve my chances of getting sponsored at an AI startup like Liquid AI?
The clearest path is positioning yourself as a specialist, not a generalist. Liquid AI builds novel AI infrastructure, so applicants who can demonstrate deep technical expertise, published work, contributions to open-source AI projects, or experience with large-scale model training, are far more likely to receive an offer that includes sponsorship. Apply early relative to H-1B cap deadlines and be direct with recruiters about your visa situation from the first conversation.
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