Technical Lead Manager Jobs in USA with Visa Sponsorship
Technical Lead Manager roles are among the most consistently sponsored positions in the U.S. tech industry. Employers file H-1B petitions for this title at high rates, and the specialty occupation requirement is straightforward to satisfy with a computer science or engineering degree. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsAbout Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About The Role
We're looking for a Technical Lead Manager to build and lead the Model Quality engineering team within Claude Code. This team sits at the intersection of engineering and research, building the eval systems, data pipelines, and experimentation infrastructure that tell us where Claude's coding capabilities excel and where they fall short, and then closing those gaps. As TLM, you'll be hands-on, setting technical direction, reviewing designs, and shipping code alongside your team — while also hiring, coaching, and growing a group of strong senior engineers who thrive in ambiguous, high-intensity environments. You'll be the connective tissue between Claude Code product priorities and Anthropic's research org, ensuring the team is building infrastructure that actually accelerates our research loop.
You'll own the technical roadmap for model quality infrastructure on Claude Code, including eval frameworks, experimentation tooling, data pipelines. You will be accountable for the reliability and correctness of systems that researchers depend on daily. You'll hire and support a team of engineers and you'll partner closely with research leadership to translate open questions into engineering priorities, and with Claude Code product to ensure capability improvements show up in the product. And you'll stay close to the code!
You may be a good fit if you
- Have led engineering teams (as a manager or tech lead) building complex infrastructure — data platforms, ML tooling, eval systems, or research computing
- Are a strong IC engineer in your own right and want to stay technical
- Have operated in high-intensity, fast-iteration environments and know how to keep a team moving without burning out
- Are comfortable navigating ambiguity across organizational boundaries — you know how to align teams with different incentives on shared goals
- Are a power user of agentic coding tools and have real intuition for where models are strong and where they break
- Care deeply about correctness and reliability, and can instill that bar in a team
- Have 8+ years of engineering experience, including 2+ leading teams
Strong candidates may also have
- Built or maintained evaluation frameworks for ML systems
- Experience with reinforcement learning infrastructure
- A background in research computing, scientific infrastructure, or ranking and recommendation systems
- Experience with production ML monitoring and observability
- A strong quantitative foundation
The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary
$320,000—$485,000 USD
Logistics
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How We're Different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about our policy for using AI in our application process.
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About The Role
We're looking for a Technical Lead Manager to build and lead the Model Quality engineering team within Claude Code. This team sits at the intersection of engineering and research, building the eval systems, data pipelines, and experimentation infrastructure that tell us where Claude's coding capabilities excel and where they fall short, and then closing those gaps. As TLM, you'll be hands-on, setting technical direction, reviewing designs, and shipping code alongside your team — while also hiring, coaching, and growing a group of strong senior engineers who thrive in ambiguous, high-intensity environments. You'll be the connective tissue between Claude Code product priorities and Anthropic's research org, ensuring the team is building infrastructure that actually accelerates our research loop.
You'll own the technical roadmap for model quality infrastructure on Claude Code, including eval frameworks, experimentation tooling, data pipelines. You will be accountable for the reliability and correctness of systems that researchers depend on daily. You'll hire and support a team of engineers and you'll partner closely with research leadership to translate open questions into engineering priorities, and with Claude Code product to ensure capability improvements show up in the product. And you'll stay close to the code!
You may be a good fit if you
- Have led engineering teams (as a manager or tech lead) building complex infrastructure — data platforms, ML tooling, eval systems, or research computing
- Are a strong IC engineer in your own right and want to stay technical
- Have operated in high-intensity, fast-iteration environments and know how to keep a team moving without burning out
- Are comfortable navigating ambiguity across organizational boundaries — you know how to align teams with different incentives on shared goals
- Are a power user of agentic coding tools and have real intuition for where models are strong and where they break
- Care deeply about correctness and reliability, and can instill that bar in a team
- Have 8+ years of engineering experience, including 2+ leading teams
Strong candidates may also have
- Built or maintained evaluation frameworks for ML systems
- Experience with reinforcement learning infrastructure
- A background in research computing, scientific infrastructure, or ranking and recommendation systems
- Experience with production ML monitoring and observability
- A strong quantitative foundation
The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary
$320,000—$485,000 USD
Logistics
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How We're Different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about our policy for using AI in our application process.
How to Get Visa Sponsorship as a Technical Lead Manager
Target companies with established engineering orgs
Large tech companies and growth-stage startups with dedicated engineering teams sponsor Technical Lead Managers far more reliably than early-stage companies. Look for organizations where the role sits within a defined reporting structure, not a generalist startup environment.
Clarify the technical depth of the role upfront
USCIS scrutinizes manager titles for specialty occupation eligibility. Roles that combine hands-on technical work with people leadership are far easier to sponsor than purely administrative management positions. Ask employers directly what percentage of the role is technical.
Have your degree field documented clearly
A bachelor's degree in computer science, software engineering, or a closely related field is the standard qualification for this title. If your degree is in a different field, prepare to demonstrate how your coursework directly maps to the technical requirements of the role.
Ask about the company's H-1B filing history
Companies that have sponsored H-1B visas before have attorneys, internal HR processes, and familiarity with timelines. First-time sponsors face a steeper learning curve, which can introduce delays or errors in your petition. Established sponsors are lower risk for candidates.
Understand the H-1B lottery timing before accepting offers
If you're outside the U.S. or not already on a work visa, your start date depends on winning the H-1B lottery in April. Offers made in late fall or winter are often contingent on lottery selection the following spring, with an October 1 start date.
Use Migrate Mate to filter for sponsoring employers
Not every company advertising a Technical Lead Manager role is open to sponsorship. Migrate Mate surfaces jobs from employers with verified sponsorship history, so you're not wasting applications on companies that will decline before the first interview.
Technical Lead Manager jobs are hiring across the US. Find yours.
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Get Access To All JobsFrequently Asked Questions
Does a Technical Lead Manager role qualify as a specialty occupation for H-1B purposes?
Yes, in most cases. USCIS evaluates the job duties, not just the title. A Technical Lead Manager role that requires a bachelor's degree in computer science, software engineering, or a related technical field and involves hands-on technical oversight qualifies as a specialty occupation. Roles that are primarily people management with minimal technical content face more scrutiny and are harder to sponsor successfully.
What degree do I need for an employer to sponsor my H-1B as a Technical Lead Manager?
Most employers require at least a bachelor's degree in computer science, software engineering, electrical engineering, or a closely related technical field. Degrees in business or general management are usually insufficient on their own. If your degree is in a tangential field, employers and immigration attorneys will assess whether your coursework or a combination of education and experience satisfies the specialty occupation standard.
How common is H-1B sponsorship for Technical Lead Manager positions?
H-1B sponsorship for Technical Lead Manager roles is among the more common in the tech sector. Major employers including Google, Amazon, Microsoft, Meta, and mid-size software companies regularly file petitions for this title. The role's technical requirements make it a strong candidate for specialty occupation approval, and approval rates for technical management roles at established companies are consistently high.
Can I transfer my H-1B to a new employer for a Technical Lead Manager role without waiting for the lottery?
Yes. If you're already on an approved H-1B, you can transfer to a new employer through H-1B portability without re-entering the lottery. Your new employer files an H-1B transfer petition, and you can typically begin working once the receipt notice is issued. This applies regardless of cap year and is one of the fastest paths to changing employers mid-visa cycle.
Where can I find Technical Lead Manager jobs that are open to visa sponsorship?
Most job listings don't clearly state whether they'll sponsor, which makes filtering by sponsorship intent difficult on general platforms. Migrate Mate focuses specifically on roles from employers with a documented history of H-1B and other work visa sponsorship, making it faster to identify which Technical Lead Manager openings are actually accessible if you need sponsorship to work in the U.S.
What is the prevailing wage requirement for sponsored Technical Lead 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.
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