H-1B Visa Principal Engineering Manager Jobs
Principal Engineering Manager jobs at H-1B visa sponsoring employers require a bachelor's degree or higher in computer science, engineering, or a closely related field, making the role a strong fit for specialty occupation classification. With H-1B status granted for up to three years and extendable to six, long-term leadership careers in U.S. engineering organizations are well within reach.
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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 394+ H-1B Visa Principal Engineering Manager Jobs
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Principal Engineering Manager
Frame your credentials around specialty occupation
Your degree field must align directly with engineering management duties, not just general leadership. Document how your computer science, electrical engineering, or related degree underpins the technical decisions you make daily. USCIS scrutinizes management roles more closely when the degree connection is vague.
Use OFLC Wage Search before salary negotiations
Your employer must certify wages at or above the prevailing wage for your specific SOC code and work location. Pull the OFLC Wage Search data yourself before negotiating so you understand the Level III or IV wage floor that will appear on your LCA.
Target employers with multi-site LCA infrastructure
Principal Engineering Managers often oversee distributed teams across multiple offices. Each worksite needs its own certified LCA, so target employers whose HR and legal teams already manage multi-location filings rather than those filing their first H-1B petition.
Find verified H-1B sponsors on Migrate Mate
Principal Engineering Manager roles appear at a narrow set of employers with mature H-1B programs. Migrate Mate shows you companies with verified LCA filing history for engineering leadership roles, so you can focus your applications where sponsorship infrastructure already exists.
Push for premium processing at the offer stage
Principal Engineering Manager hires often have tight start dates tied to team planning cycles. Negotiate premium processing into your offer before signing. USCIS currently offers a faster adjudication path for I-129 petitions, but the employer controls whether to elect it.
Review your O*NET profile before writing your job description
The O*NET profile for your target SOC code lists the tasks and knowledge requirements USCIS expects to see reflected in the job description. Engineering managers whose listed duties align closely with O*NET's specialty occupation tasks face fewer Requests for Evidence.
H-1B Visa Principal Engineering Manager: Frequently Asked Questions
Does a Principal Engineering Manager role qualify as an H-1B specialty occupation?
Yes, Principal Engineering Manager roles typically qualify as a specialty occupation because they require at least a bachelor's degree in computer science, electrical engineering, software engineering, or a directly related field to perform the core duties. The technical depth of the role, including architecture decisions, engineering standards ownership, and cross-functional system design, supports the specialty occupation classification. Sponsoring employers document this connection in the LCA and I-129 petition.
Which employers sponsor H-1B visas for Principal Engineering Manager positions?
Sponsorship for Principal Engineering Manager roles is concentrated at large technology companies, enterprise software firms, semiconductor manufacturers, and major financial institutions with engineering organizations. These employers have established H-1B programs with dedicated immigration counsel and HR processes. Migrate Mate shows companies with verified LCA filing history for engineering leadership roles so you can direct your search efficiently.
How does managing engineers across multiple offices affect my H-1B status?
Every worksite where you perform H-1B duties needs its own certified LCA filed with DOL before work begins at that location. If your role requires regular presence at offices in different cities or states, your employer must file separate LCAs for each location listing the correct prevailing wage for that area. This is a compliance requirement, not optional, and employers experienced with distributed teams handle it routinely.
Can I switch to a different Principal Engineering Manager role at a new company while on H-1B?
Yes, you can change employers under H-1B portability rules as long as the new employer files an I-129 transfer petition before your current authorized period ends and the new role remains a specialty occupation. For Principal Engineering Manager transitions, the new employer must file a fresh LCA reflecting the new worksite and wage level before your start date. The 60-day grace period after involuntary termination also applies if the transition is not voluntary.
What documentation strengthens an H-1B petition for a Principal Engineering Manager?
Strong petitions include a detailed job description linking every core duty to degree-level engineering knowledge, a credential evaluation confirming your degree equivalency if you studied outside the U.S., organizational charts showing where the role sits in the technical hierarchy, and evidence of past employers requiring equivalent academic credentials. USCIS looks for a direct and logical connection between your specific degree field and the daily responsibilities of the role.