Gtm Manager Jobs in USA with Visa Sponsorship
GTM Manager roles in the U.S. qualify for H-1B visa sponsorship as a specialty occupation, typically requiring a bachelor's degree in marketing, business, or a related field. Employers file a Labor Condition Application before you can start, and many tech and SaaS companies have active LCA filing histories for this title. For detailed occupation requirements, see the O*NET profile.
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Preference Model is a superintelligence data research company. We build RL environments for training capable, better-aligned superintelligences.
Almost every aspect of how a model behaves is shaped by the reward signals it's trained on. The biggest problem with AIs today is that they don't always do what we intend. Sometimes that's because they aren't capable enough, and sometimes it's because they aren't aligned. Both problems come down to the training objectives.
We're trying to address both of these issues in the most direct, highest leverage way available to us, which today means researching how to build RL environments better, not just for the AIs of today but for the AIs as they will be when they outsmart us.
Over the past year, we've built RL environments for several frontier labs, and we're backed by $16M in seed funding led by a16z. Our founding team has previous experience on Anthropic’s data team building data infrastructure, and datasets behind Claude.
About the Role
We're hiring our first Technical Program Manager, GTM. Frontier labs are deciding which RL environment partners to trust with their training runs, and the relationships we build with them now will shape much of where Preference Model goes next. Until now, those relationships have been run by our leadership alongside everything else. You'll be the first person whose full-time job is to own them.
This is a founding role with broad ownership. You will own communication and the relationship with our lab customers across the whole cycle: selling, delivery, scope expansion and contract negotiation. Our platform team owns the technical side of delivery. You'll have a real say in which labs we pursue, how we price our work, and what we build next.
You will help build our GTM playbook and eventually have the opportunity to expand the team.
You will report directly to a co-founder and work onsite in San Francisco alongside leadership, our capabilities team, and our platform team.
Success in this role means projects ship on timelines both sides trust, and the relationships you own are growing into larger engagements.
What You Will Do
- Own relationships with frontier lab customers. Be their main point of contact, push each relationship forward and grow accounts into larger engagements.
- Decide with leadership which labs and markets to pursue, and where to focus as the market for RL environments changes.
- Run the sales cycle: send samples, learn what each lab needs, and turn early conversations into scoped projects.
- Shape pricing and packaging, and negotiate contracts with our co-founders.
- Build feedback loops that translate customer feedback into focus areas and priorities.
- Keep delivery on track with the internal team: set realistic timelines, review purchase orders, and partner with the platform team, which owns technical delivery, so nothing falls between teams.
- Represent Preference Model publicly through writing, events and the AI community.
- Build our go-to-market function from scratch: how we sell, scope, contract and deliver, and the playbooks that make it repeatable.
What We are Looking For
- 0 to 1 experience: You've built something from the ground up: at an early-stage startup, as a founder, or in VC.
- A technical background: a computer science or closely related technical degree, or previous software engineering experience.
- External customer-facing experience: for example as a forward deployed engineer, in customer success or operations, as a product manager, or in VC.
- 2+ years of relevant experience.
- Experience negotiating commercial terms: customer contracts, pricing, or investment deals.
- Confidence with senior, technical stakeholders and the follow-through to keep many relationships moving at once. You can push back on unrealistic asks, deliver bad news early, and ensure nothing gets dropped.
Nice to Have:
- Experience with LLM training or post training strongly preferred.
- Experience at a frontier AI lab, neo lab, or a neocloud.
- Experience at a company known for strong customer support.
- Familiarity with RL environments, evals, benchmarks, or post-training data (RLHF, RLVR).
- You write publicly (a blog, newsletter, or essays) or are active on social media. This is a plus.
You may be a good fit if one of the following applies
- You started as a software engineer or forward deployed engineer and have since taken on roles that pair technical depth with owning customer outcomes.
- You have experience with LLM training or post training.
- You founded a company and sold to technical buyers yourself.
- You've run engagements for frontier lab customers at an AI data, evals, or RL environment company.
What We Offer:
- Competitive cash and equity compensation
- Ownership and autonomy in a fast moving startup environment
- Opportunity to work with top Machine Learning Engineers
- Health, Vision, Dental, benefits
- 401K match
- Lunch provided daily, and a weekly snack order
We value diverse perspectives and experiences. If you're excited about this role but don't check every box, we still encourage you to apply.
Compensation Range: $180K - $240K
About us
Preference Model is a superintelligence data research company. We build RL environments for training capable, better-aligned superintelligences.
Almost every aspect of how a model behaves is shaped by the reward signals it's trained on. The biggest problem with AIs today is that they don't always do what we intend. Sometimes that's because they aren't capable enough, and sometimes it's because they aren't aligned. Both problems come down to the training objectives.
We're trying to address both of these issues in the most direct, highest leverage way available to us, which today means researching how to build RL environments better, not just for the AIs of today but for the AIs as they will be when they outsmart us.
Over the past year, we've built RL environments for several frontier labs, and we're backed by $16M in seed funding led by a16z. Our founding team has previous experience on Anthropic’s data team building data infrastructure, and datasets behind Claude.
About the Role
We're hiring our first Technical Program Manager, GTM. Frontier labs are deciding which RL environment partners to trust with their training runs, and the relationships we build with them now will shape much of where Preference Model goes next. Until now, those relationships have been run by our leadership alongside everything else. You'll be the first person whose full-time job is to own them.
This is a founding role with broad ownership. You will own communication and the relationship with our lab customers across the whole cycle: selling, delivery, scope expansion and contract negotiation. Our platform team owns the technical side of delivery. You'll have a real say in which labs we pursue, how we price our work, and what we build next.
You will help build our GTM playbook and eventually have the opportunity to expand the team.
You will report directly to a co-founder and work onsite in San Francisco alongside leadership, our capabilities team, and our platform team.
Success in this role means projects ship on timelines both sides trust, and the relationships you own are growing into larger engagements.
What You Will Do
- Own relationships with frontier lab customers. Be their main point of contact, push each relationship forward and grow accounts into larger engagements.
- Decide with leadership which labs and markets to pursue, and where to focus as the market for RL environments changes.
- Run the sales cycle: send samples, learn what each lab needs, and turn early conversations into scoped projects.
- Shape pricing and packaging, and negotiate contracts with our co-founders.
- Build feedback loops that translate customer feedback into focus areas and priorities.
- Keep delivery on track with the internal team: set realistic timelines, review purchase orders, and partner with the platform team, which owns technical delivery, so nothing falls between teams.
- Represent Preference Model publicly through writing, events and the AI community.
- Build our go-to-market function from scratch: how we sell, scope, contract and deliver, and the playbooks that make it repeatable.
What We are Looking For
- 0 to 1 experience: You've built something from the ground up: at an early-stage startup, as a founder, or in VC.
- A technical background: a computer science or closely related technical degree, or previous software engineering experience.
- External customer-facing experience: for example as a forward deployed engineer, in customer success or operations, as a product manager, or in VC.
- 2+ years of relevant experience.
- Experience negotiating commercial terms: customer contracts, pricing, or investment deals.
- Confidence with senior, technical stakeholders and the follow-through to keep many relationships moving at once. You can push back on unrealistic asks, deliver bad news early, and ensure nothing gets dropped.
Nice to Have:
- Experience with LLM training or post training strongly preferred.
- Experience at a frontier AI lab, neo lab, or a neocloud.
- Experience at a company known for strong customer support.
- Familiarity with RL environments, evals, benchmarks, or post-training data (RLHF, RLVR).
- You write publicly (a blog, newsletter, or essays) or are active on social media. This is a plus.
You may be a good fit if one of the following applies
- You started as a software engineer or forward deployed engineer and have since taken on roles that pair technical depth with owning customer outcomes.
- You have experience with LLM training or post training.
- You founded a company and sold to technical buyers yourself.
- You've run engagements for frontier lab customers at an AI data, evals, or RL environment company.
What We Offer:
- Competitive cash and equity compensation
- Ownership and autonomy in a fast moving startup environment
- Opportunity to work with top Machine Learning Engineers
- Health, Vision, Dental, benefits
- 401K match
- Lunch provided daily, and a weekly snack order
We value diverse perspectives and experiences. If you're excited about this role but don't check every box, we still encourage you to apply.
Compensation Range: $180K - $240K
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Get Access To All JobsTips for Finding Visa Sponsorship as a Gtm Manager
Frame your GTM experience around specialty occupation
H-1B eligibility hinges on your role requiring a specific bachelor's degree, not just business acumen. Document how your GTM work ties directly to a degree field like marketing, business administration, or economics to strengthen the specialty occupation argument.
Target companies with LCA filing history
Use Migrate Mate to find employers with verified Labor Condition Application filings for GTM and marketing strategy roles. Active LCA history signals that a company already understands the sponsorship process and isn't starting from scratch.
Distinguish GTM Manager from general management titles
Generic management roles face more USCIS scrutiny on specialty occupation grounds. Your resume and cover letter should emphasize cross-functional revenue strategy, product positioning, and go-to-market execution rather than broad team oversight to reinforce the degree requirement.
Check prevailing wage tiers before salary negotiations
Your employer's LCA must certify a wage at or above the DOL prevailing wage for your specific location and role. Look up your wage level using the OFLC Wage Search before entering offer negotiations so you aren't caught off guard by LCA wage minimums.
Align your offer letter language with your LCA job description
Inconsistencies between your offer letter duties and the LCA job description are a common source of USCIS Requests for Evidence. Push your employer to ensure both documents use identical role scope, degree requirements, and specialty occupation language before filing.
Verify degree equivalency early for three-year bachelor's holders
If you hold a three-year bachelor's degree, get a credential evaluation completed before you apply. USCIS accepts equivalent education, but your employer needs the evaluation on file when filing the I-129 petition to avoid a delayed Request for Evidence.
Frequently Asked Questions
Does a GTM Manager role qualify as a specialty occupation for H-1B purposes?
Yes, in most cases. USCIS evaluates whether the position normally requires a bachelor's degree in a specific field such as marketing, business administration, or a related discipline. GTM Manager roles that focus on product marketing strategy, revenue operations, or cross-functional go-to-market planning tend to meet this standard more clearly than broad general management titles.
Which visa types are available to foreign nationals applying for GTM Manager jobs in the U.S.?
The H-1B is the most common path for GTM Manager roles. Australian citizens can pursue the E-3 visa, which has a separate annual cap and no lottery. Chilean and Singaporean nationals may qualify for the H-1B1 visa. TN visa status is not available for GTM Manager roles, as the USMCA profession list does not include go-to-market or marketing management positions.
What degree does an employer need to demonstrate for a GTM Manager H-1B petition?
The employer's LCA and I-129 petition must establish that the GTM Manager position normally requires at least a bachelor's degree in a directly related field. Marketing, business administration, economics, and communications are the most defensible fields. If your degree is in an unrelated area, you can supplement with a credential evaluation that equates your education plus experience to the equivalent of a U.S. bachelor's degree.
How do I find GTM Manager jobs where the employer is already open to visa sponsorship?
Browse Migrate Mate's job listings for GTM Manager roles, which are sourced from employers with verified LCA sponsorship history. This saves you from applying to companies that have never filed for a sponsored worker in this role category and may not understand the process.
Can I transfer my H-1B to a new employer for a GTM Manager role without waiting for a new petition approval?
Yes. Under H-1B portability rules, you can start working for a new employer as soon as the new I-129 petition is filed with USCIS, without waiting for approval. The new employer must file a valid petition while your current H-1B status is still active. Your GTM Manager job duties at the new employer should be consistent with the specialty occupation category to avoid complications.
What is the prevailing wage requirement for sponsored Gtm Manager jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.