Liquid AI Visa Sponsorship Jobs 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
North America l San Francisco, CA or Cambridge, MA
Employment Type
Full time
Department
Sales
Role: Strategic Business Development
Department: Sales
Location: San Francisco, Boston
Location Type: Hybrid
Employment Type: Full-time
About Liquid AI
Liquid AI is a 3-year-old foundation-model company spun out of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL). We build small, efficient, and incredibly fast foundation models that can run directly on the computers all around us—phones, cars, and laptops—with no internet needed, bringing AI capabilities to 99% of global compute that exists outside of data centers today. We are scaling rapidly and need exceptional people to help us get there.
The Opportunity
We have a differentiated product, early enterprise traction, and growing customer demand. Now we are building a strategic business development team that can turn that momentum into a repeatable go-to-market motion. In this role, you will own revenue from the first conversation to the signed deal. You will work directly with the founders and business leadership. You will help define how Liquid goes to market: who we target, how we position, how we price, how we run evaluations, and how we win. This is not a role for someone who wants to inherit a mature playbook. Rather, for someone who wants to build one while closing meaningful, first of a kind deals.
The Work
- Own the full sales cycle, end to end: prospecting, outbound, discovery, technical validation, commercial negotiation, procurement, and close.
- Build and manage a high-quality pipeline across priority verticals through self-sourced outbound, your network, and qualified inbound demand.
- Sell Liquid Foundation Models to technical and executive buyers, including CTOs, VPs of Engineering, Heads of AI/ML, and product leaders.
- Lead complex, multi-threaded enterprise deals that involve technical evaluation, security review, legal, procurement, and executive alignment.
- Partner closely with engineering during technical deep-dives, proof-of-concepts, benchmarks, and deployment conversations.
- Shape pricing, packaging, and deal strategy in partnership with founders and business leadership.
- Be the voice of the market internally: bring back objections, competitive intelligence, pricing feedback, and emerging use cases that should influence product and positioning.
- Build the early sales system: qualification criteria, deal stages, messaging, objection handling, handoff processes, and the operating cadences the next hires will scale.
Desired Experience
Must-have:
- 8+ years of revenue-driving experience in tech B2B sales or partnerships, with a track record of consistently meeting or exceeding goals, especially revenue-oriented goals.
- Recent experience selling AI/ML infrastructure, developer tools, data/ML platforms, or other technically sophisticated products.
- The ability to hold credible, high-trust conversations with deeply technical buyers and executives.
- A proven track record of creating pipeline yourself, not just converting pipeline created for you.
- Experience in an early-stage or Series A-C environment where you helped build the motion, not just execute an established one.
- Comfort selling through longer, consultative enterprise cycles with multiple technical and commercial stakeholders.
- Strong judgment on where to spend time, how to prioritize accounts, and how to drive a deal forward without overplaying your hand.
Nice-to-have:
- Experience selling into consumer electronics, automotive, life sciences, or financial services.
- Familiarity with modern outbound, pipeline, and forecasting tools.
- Relationships with technical decision-makers in our target account universe.
Who You Are
- You're energized by running deals, and every deal matters.
- You are a closer, but not a transactional one. You earn trust through curiosity, rigor, and commercial sharpness.
- You are energized by technical products and technical buyers. You like learning how systems work, where they break, and what makes a solution genuinely better.
- You want founder proximity, real ownership, and a seat where your judgment changes outcomes.
- You have built in ambiguity before and know how to create structure without slowing momentum.
- You care about the craft of sales: not just winning the current deal, but understanding why it was won and how to make that repeatable.
What Success Looks Like (Year One)
- You close meaningful net-new revenue from deals you helped source and run.
- Liquid has a repeatable early enterprise sales motion, with clear qualification criteria, pricing frameworks, objection handling, and handoff processes.
- Founders and leadership rely on your judgment for deal strategy, pricing, pipeline prioritization, and market insight.
- We have a stronger understanding of where we win, why we win, and which segments and use cases should define the next phase of GTM scale.
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
North America l San Francisco, CA or Cambridge, MA
Employment Type
Full time
Department
Sales
Role: Strategic Business Development
Department: Sales
Location: San Francisco, Boston
Location Type: Hybrid
Employment Type: Full-time
About Liquid AI
Liquid AI is a 3-year-old foundation-model company spun out of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL). We build small, efficient, and incredibly fast foundation models that can run directly on the computers all around us—phones, cars, and laptops—with no internet needed, bringing AI capabilities to 99% of global compute that exists outside of data centers today. We are scaling rapidly and need exceptional people to help us get there.
The Opportunity
We have a differentiated product, early enterprise traction, and growing customer demand. Now we are building a strategic business development team that can turn that momentum into a repeatable go-to-market motion. In this role, you will own revenue from the first conversation to the signed deal. You will work directly with the founders and business leadership. You will help define how Liquid goes to market: who we target, how we position, how we price, how we run evaluations, and how we win. This is not a role for someone who wants to inherit a mature playbook. Rather, for someone who wants to build one while closing meaningful, first of a kind deals.
The Work
- Own the full sales cycle, end to end: prospecting, outbound, discovery, technical validation, commercial negotiation, procurement, and close.
- Build and manage a high-quality pipeline across priority verticals through self-sourced outbound, your network, and qualified inbound demand.
- Sell Liquid Foundation Models to technical and executive buyers, including CTOs, VPs of Engineering, Heads of AI/ML, and product leaders.
- Lead complex, multi-threaded enterprise deals that involve technical evaluation, security review, legal, procurement, and executive alignment.
- Partner closely with engineering during technical deep-dives, proof-of-concepts, benchmarks, and deployment conversations.
- Shape pricing, packaging, and deal strategy in partnership with founders and business leadership.
- Be the voice of the market internally: bring back objections, competitive intelligence, pricing feedback, and emerging use cases that should influence product and positioning.
- Build the early sales system: qualification criteria, deal stages, messaging, objection handling, handoff processes, and the operating cadences the next hires will scale.
Desired Experience
Must-have:
- 8+ years of revenue-driving experience in tech B2B sales or partnerships, with a track record of consistently meeting or exceeding goals, especially revenue-oriented goals.
- Recent experience selling AI/ML infrastructure, developer tools, data/ML platforms, or other technically sophisticated products.
- The ability to hold credible, high-trust conversations with deeply technical buyers and executives.
- A proven track record of creating pipeline yourself, not just converting pipeline created for you.
- Experience in an early-stage or Series A-C environment where you helped build the motion, not just execute an established one.
- Comfort selling through longer, consultative enterprise cycles with multiple technical and commercial stakeholders.
- Strong judgment on where to spend time, how to prioritize accounts, and how to drive a deal forward without overplaying your hand.
Nice-to-have:
- Experience selling into consumer electronics, automotive, life sciences, or financial services.
- Familiarity with modern outbound, pipeline, and forecasting tools.
- Relationships with technical decision-makers in our target account universe.
Who You Are
- You're energized by running deals, and every deal matters.
- You are a closer, but not a transactional one. You earn trust through curiosity, rigor, and commercial sharpness.
- You are energized by technical products and technical buyers. You like learning how systems work, where they break, and what makes a solution genuinely better.
- You want founder proximity, real ownership, and a seat where your judgment changes outcomes.
- You have built in ambiguity before and know how to create structure without slowing momentum.
- You care about the craft of sales: not just winning the current deal, but understanding why it was won and how to make that repeatable.
What Success Looks Like (Year One)
- You close meaningful net-new revenue from deals you helped source and run.
- Liquid has a repeatable early enterprise sales motion, with clear qualification criteria, pricing frameworks, objection handling, and handoff processes.
- Founders and leadership rely on your judgment for deal strategy, pricing, pipeline prioritization, and market insight.
- We have a stronger understanding of where we win, why we win, and which segments and use cases should define the next phase of GTM scale.
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
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Get Access To All JobsTips for Finding Liquid AI Visa Sponsorship Jobs 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.
Understand which visa types Liquid AI supports
Liquid AI sponsors H-1B visas and works with F-1 OPT and CPT candidates. If you're currently on OPT or CPT, this is a realistic entry point, many AI startups use early-stage employment to build toward H-1B sponsorship down the line.
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.
Frequently 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.