Principal Engineering Manager Jobs in USA with Visa Sponsorship
Principal Engineering Manager roles sit squarely inside H-1B visa specialty occupation territory, and many employers also file PERM labor certifications to support green card sponsorship. With dual-intent protection and no cap on EB-2 or EB-3 filings, this is one of the clearest paths from work visa to permanent residence in U.S. tech.
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Intuit’s AI Transformation Org is changing how 18,000+ employees do their most important work. We bring AI agents into the everyday workflows of Finance, Legal, Marketing, Customer Success, and People & Places. The people doing the work spend less time on coordination and more time on the decisions that need their expertise. We need a Principal who can scale this across the company without taking it over.
This role is the engine that gets AI-redesigned workflows into production and keeps them there. You partner with AI Champions inside each non-engineering function. You apply approved enterprise blueprints to high-friction, repeatable workflows. You set measurable baselines before redesign. You make adoption stick after the central team steps back. Your success is measured by what the function can do after you leave, not by what you personally redesigned.
You partner closely with the People & Places AI Workforce Transformation team, the Enterprise Solution Architect, the Telemetry and Insights Lead, and senior operating leaders across Intuit’s most consequential non-engineering functions.
Responsibilities
- Drive blueprint-led redesign with AI Champions across non-engineering functions. Apply approved blueprint patterns to the workflows we prioritize. Coach Champions through configuration, integration, evaluation, and rollout in their real work, not in training settings.
- Build and validate before you scale. Personally prototype agentic workflow configurations, working closely with engineering partners and directly with LLM APIs or agent tooling to test feasibility. Validate the design meets quality and reliability standards before a function adopts it.
- Hold the line on blueprint standards. Every redesign uses approved workflow logic, agent configuration standards, integration patterns, governance guardrails, and measurement contracts. Push back on bespoke designs that fragment the enterprise architecture.
- Design redesigns to stick. Set baselines before launch. Instrument the pre-state with the Telemetry and Insights Lead. Align role expectations and habits with HR Craft Leaders. Validate the post-state. Treat behavioral adoption as a design constraint from day one, not a retrofit.
- Drive blueprint adoption, not workflow possession. The redesigned workflow is the default execution model in production. The function owns it after you step back. The hand-off is the deliverable, not the redesign itself.
- Surface friction back to platform and architecture. Identify where blueprint patterns break down, where the platform is missing capability, and where governance creates drag. Feed signal to the Enterprise Solution Architect and the platform engineering team. The platform should compound with every redesign.
- Connect workflow redesign to workforce evolution. Every redesign changes what the people doing the work need to know, do, and decide. Partner with HR Craft Leaders and the People & Places AI Workforce Transformation team. Role expectations, AI proficiency, hiring criteria, and learning pathways evolve with the workflow, not after it.
- Maintain the redesign portfolio view. Make redesigns in flight, baselines committed, value captured, and risk visible at any moment. Keep prioritization honest. Resist pressure to take on work that does not meet the bar.
Qualifications
- 12+ years of progressive experience designing, building, or operating production AI/ML systems, agentic workflows, or enterprise workflow platforms.
- Engineering or technical background required: you have written production code, built technical prototypes, or held a hands-on technical role (e.g., software engineer, ML engineer, forward-deployed engineer) at some point in your career.
- Currently and personally building agentic workflow prototypes in your day-to-day work (e.g., working directly with LLM APIs, agent frameworks, MCP tooling).
- At least 3 years driving change inside other people’s organizations. This could be embedded with a business function, a forward-deployed engineering team, or a transformation function.
- Demonstrated track record of taking AI-powered workflows from prototype into in-production adoption at enterprise scale.
- Experience influencing and aligning VP-level and above stakeholders on workflow strategy and investment decisions.
- Bachelor’s degree required. Computer Science, Engineering, or a related technical field preferred.
Preferred
- Master’s degree in Computer Science, Engineering, or a related technical field.
- Background in enterprise HR, Finance, Legal, Marketing, or Customer Success technology. These are the functions where this role will spend most of its time.
- Experience designing or implementing responsible AI frameworks, evaluation pipelines, or AI governance programs.
- Prior experience as a forward-deployed engineer or AI solutions architect inside a customer’s organization.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
The expected base pay range for this position is:
Mountain View $243,000 - $328,500
Overview
Intuit’s AI Transformation Org is changing how 18,000+ employees do their most important work. We bring AI agents into the everyday workflows of Finance, Legal, Marketing, Customer Success, and People & Places. The people doing the work spend less time on coordination and more time on the decisions that need their expertise. We need a Principal who can scale this across the company without taking it over.
This role is the engine that gets AI-redesigned workflows into production and keeps them there. You partner with AI Champions inside each non-engineering function. You apply approved enterprise blueprints to high-friction, repeatable workflows. You set measurable baselines before redesign. You make adoption stick after the central team steps back. Your success is measured by what the function can do after you leave, not by what you personally redesigned.
You partner closely with the People & Places AI Workforce Transformation team, the Enterprise Solution Architect, the Telemetry and Insights Lead, and senior operating leaders across Intuit’s most consequential non-engineering functions.
Responsibilities
- Drive blueprint-led redesign with AI Champions across non-engineering functions. Apply approved blueprint patterns to the workflows we prioritize. Coach Champions through configuration, integration, evaluation, and rollout in their real work, not in training settings.
- Build and validate before you scale. Personally prototype agentic workflow configurations, working closely with engineering partners and directly with LLM APIs or agent tooling to test feasibility. Validate the design meets quality and reliability standards before a function adopts it.
- Hold the line on blueprint standards. Every redesign uses approved workflow logic, agent configuration standards, integration patterns, governance guardrails, and measurement contracts. Push back on bespoke designs that fragment the enterprise architecture.
- Design redesigns to stick. Set baselines before launch. Instrument the pre-state with the Telemetry and Insights Lead. Align role expectations and habits with HR Craft Leaders. Validate the post-state. Treat behavioral adoption as a design constraint from day one, not a retrofit.
- Drive blueprint adoption, not workflow possession. The redesigned workflow is the default execution model in production. The function owns it after you step back. The hand-off is the deliverable, not the redesign itself.
- Surface friction back to platform and architecture. Identify where blueprint patterns break down, where the platform is missing capability, and where governance creates drag. Feed signal to the Enterprise Solution Architect and the platform engineering team. The platform should compound with every redesign.
- Connect workflow redesign to workforce evolution. Every redesign changes what the people doing the work need to know, do, and decide. Partner with HR Craft Leaders and the People & Places AI Workforce Transformation team. Role expectations, AI proficiency, hiring criteria, and learning pathways evolve with the workflow, not after it.
- Maintain the redesign portfolio view. Make redesigns in flight, baselines committed, value captured, and risk visible at any moment. Keep prioritization honest. Resist pressure to take on work that does not meet the bar.
Qualifications
- 12+ years of progressive experience designing, building, or operating production AI/ML systems, agentic workflows, or enterprise workflow platforms.
- Engineering or technical background required: you have written production code, built technical prototypes, or held a hands-on technical role (e.g., software engineer, ML engineer, forward-deployed engineer) at some point in your career.
- Currently and personally building agentic workflow prototypes in your day-to-day work (e.g., working directly with LLM APIs, agent frameworks, MCP tooling).
- At least 3 years driving change inside other people’s organizations. This could be embedded with a business function, a forward-deployed engineering team, or a transformation function.
- Demonstrated track record of taking AI-powered workflows from prototype into in-production adoption at enterprise scale.
- Experience influencing and aligning VP-level and above stakeholders on workflow strategy and investment decisions.
- Bachelor’s degree required. Computer Science, Engineering, or a related technical field preferred.
Preferred
- Master’s degree in Computer Science, Engineering, or a related technical field.
- Background in enterprise HR, Finance, Legal, Marketing, or Customer Success technology. These are the functions where this role will spend most of its time.
- Experience designing or implementing responsible AI frameworks, evaluation pipelines, or AI governance programs.
- Prior experience as a forward-deployed engineer or AI solutions architect inside a customer’s organization.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
The expected base pay range for this position is:
Mountain View $243,000 - $328,500
See all 422+ Principal Engineering Manager Jobs
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Get Access To All JobsTips for Finding Visa Sponsorship as a Principal Engineering Manager
Map your degree to the role
Principal Engineering Manager positions typically require a bachelor's or higher in computer science, electrical engineering, or a related technical field. Pull the O*NET profile for this occupation and confirm your degree field aligns before applying, a mismatch is the most common specialty occupation RFE trigger.
Verify the prevailing wage tier before negotiating
Your employer's LCA must certify a wage at or above the prevailing rate for your location and experience level. Run the OFLC Wage Search for your metro area first so you're negotiating from an informed baseline and not accepting an offer that forces a Level I wage for a senior role.
Target companies with active PERM history
Many Principal Engineering Manager candidates want both an H-1B and a green card pathway. Use Migrate Mate to find employers with verified sponsorship history, so you're applying to companies already set up to run PERM labor certifications alongside your nonimmigrant status.
Account for the H-1B lottery in your timeline
If you're on F-1 OPT, you need your H-1B petition selected and approved before your OPT expires. The cap and selection rules have changed recently, so plan your job search to give yourself maximum runway before your OPT end date.
Get your documentation portfolio in order early
Principal Engineering Manager sponsorship packages need more than a job offer letter. Gather transcripts, prior employment verification letters, performance reviews, and evidence of technical leadership. Gaps in this record are what slow USCIS review down, not the filing itself.
Clarify who controls the PERM process at offer stage
Some employers start PERM during your first year; others wait until after the third. Ask directly whether PERM sponsorship is in scope, who coordinates the recruitment audit, and whether the company uses internal immigration counsel or an outside firm, this affects your green card timeline by years.
Frequently Asked Questions
Does a Principal Engineering Manager role qualify as a specialty occupation for H-1B purposes?
Yes, in almost all cases. The role requires theoretical and practical application of highly specialized engineering knowledge, and USCIS consistently recognizes it as a specialty occupation when the employer documents that a bachelor's degree or higher in a directly related technical field is a minimum requirement. The key risk is a job description written too broadly, make sure the posting specifies the degree field, not just 'a bachelor's degree in any discipline.'
Which visa types realistically cover Principal Engineering Manager sponsorship?
The H-1B is the primary path for most candidates, offering up to six years of status and dual intent so you can pursue a green card simultaneously. Australian nationals can use the E-3 visa, which has no lottery and renews every two years. Chilean and Singaporean nationals may qualify for the H-1B1 visa. For candidates with an advanced degree and substantial engineering leadership, an EB-1B or EB-2 green card filed directly is also worth discussing with your employer.
Where can I find Principal Engineering Manager roles where employers are already set up to sponsor?
Migrate Mate lists employers with verified sponsorship history for engineering management roles, so you're not cold-applying and hoping the company has an immigration process in place. This is particularly useful at the principal and staff level, where smaller or early-stage companies often haven't yet built out the internal infrastructure needed to run an LCA and I-129 for the first time.
Will a three-year bachelor's degree from outside the U.S. satisfy the specialty occupation requirement?
USCIS evaluates foreign degrees through credential evaluation. A three-year bachelor's from Australia, India, the UK, or Canada is often found equivalent to a U.S. four-year degree by recognized credential evaluators, particularly in engineering disciplines with professional accreditation. Your employer includes the evaluation in the I-129 petition. Degrees from programs without engineering accreditation face more scrutiny, so get the evaluation done before the offer stage rather than during filing.
Can a Principal Engineering Manager pursue a green card while on H-1B status?
Yes. H-1B allows dual intent, meaning you can file an I-140 immigrant petition and even start the PERM labor certification process without jeopardizing your nonimmigrant status. Most Principal Engineering Managers qualify under EB-2 (advanced degree or exceptional ability) or EB-3 (skilled worker). Candidates from India and China face significant priority date backlogs regardless of category, so starting the PERM process as early as your employer allows is the most effective way to manage the wait.
What is the prevailing wage requirement for sponsored Principal Engineering 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.