Engineering Manager Visa Sponsorship Jobs in Washington
Washington is one of the top states for engineering manager visa sponsorship, driven by major tech employers in Seattle and Redmond. Companies like Microsoft, Amazon, and Boeing regularly sponsor engineering managers through H-1B visa and L-1 visas. The state's concentration of global tech headquarters makes it one of the most active markets for this role.
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Get Access To All JobsINTRODUCTION
Imagine shaping how millions of people discover content they love on the App Store, Apple Music, and Apple TV+. Our team is responsible for the intelligence that powers these deeply personal experiences.
We are at a pivotal moment, defining the next generation of personalization. We build the foundational capabilities that empower product and research teams to deliver hyper-personalized experiences while maintaining an uncompromising commitment to user privacy. We believe that deep personalization shouldn't require compromising user trust, and we are pioneering the decentralized data systems to prove it.
DESCRIPTION
We are looking for a visionary Engineering Manager to lead a team of pioneering ML engineers. Your team will build the systems that securely process, combine, and deliver the critical user and content features needed for personalization, spanning from edge devices to cloud backends. You will guide the development of high-performance stacks that transform raw data into governed, discoverable intelligence. As a leader, you will navigate the complex intersection of petabyte-scale data engineering, machine learning systems, and strict privacy compliance, ensuring your team delivers the foundational data layer that powers the next generation of intelligent experiences.
Responsibilities
-
Team Leadership & Growth: Hire, mentor, and grow a high-performing team of ML engineers. Foster a culture of technical excellence, innovation, and deep respect for user privacy.
-
Drive Technical Strategy: Define the roadmap and architectural vision for distributed feature access (spanning device and cloud), large-scale feature pipelines, and robust feature stores. Guide technical decisions around distributed data processing (Spark, Flink), production backend services (Java, Go), and model training integration (Python).
-
Cross-Functional Execution: Act as the primary bridge between your team and key partners, including ML teams, Core Compute, Data Systems, and Privacy/Legal teams. Ensure seamless integration of data capabilities across device and cloud boundaries.
-
Operational Excellence: Oversee the design, deployment, and operation of petabyte-scale pipelines and low-latency serving stacks. Establish rigorous standards for system reliability, data quality, and compliance-by-design.
-
Champion Privacy: Advocate for and implement data minimization strategies and privacy-preserving architectures, ensuring that all data products meet the highest global standards for security and user trust.
MINIMUM QUALIFICATIONS
-
BS or MS in Computer Science, Engineering, or a related field.
-
Leadership Experience: Proven track record of managing and scaling engineering teams focused on data platforms, machine learning systems, or large-scale backend stacks.
-
Technical Foundation: Deep architectural understanding of distributed data processing (e.g., Spark, Flink), high-throughput backend engineering (e.g., Java, Go), and ML training environments (Python).
-
Delivery & Execution: Demonstrated ability to lead complex, cross-functional projects from conception to production at massive scale.
-
Strategic Thinking: Experience defining technical roadmaps, navigating ambiguity, and balancing short-term product needs with long-term architectural health.
PREFERRED QUALIFICATIONS
-
Hybrid/Edge Computing: Experience leading teams that build systems bridging cloud stacks with on-device or edge compute environments.
-
ML Ecosystem Knowledge: Familiarity with the lifecycle of machine learning models, feature stores, vector search, and dense embeddings.
-
Data Governance: Experience implementing feature stores, data catalogs, and automated compliance systems in heavily regulated environments.
-
Privacy-Preserving Tech: Passion for privacy and an understanding of Privacy-Enhancing Technologies (PETs), secure enclaves, or decentralized data strategies.
PAY & BENEFITS
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $188,200 and $325,500, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
INTRODUCTION
Imagine shaping how millions of people discover content they love on the App Store, Apple Music, and Apple TV+. Our team is responsible for the intelligence that powers these deeply personal experiences.
We are at a pivotal moment, defining the next generation of personalization. We build the foundational capabilities that empower product and research teams to deliver hyper-personalized experiences while maintaining an uncompromising commitment to user privacy. We believe that deep personalization shouldn't require compromising user trust, and we are pioneering the decentralized data systems to prove it.
DESCRIPTION
We are looking for a visionary Engineering Manager to lead a team of pioneering ML engineers. Your team will build the systems that securely process, combine, and deliver the critical user and content features needed for personalization, spanning from edge devices to cloud backends. You will guide the development of high-performance stacks that transform raw data into governed, discoverable intelligence. As a leader, you will navigate the complex intersection of petabyte-scale data engineering, machine learning systems, and strict privacy compliance, ensuring your team delivers the foundational data layer that powers the next generation of intelligent experiences.
Responsibilities
-
Team Leadership & Growth: Hire, mentor, and grow a high-performing team of ML engineers. Foster a culture of technical excellence, innovation, and deep respect for user privacy.
-
Drive Technical Strategy: Define the roadmap and architectural vision for distributed feature access (spanning device and cloud), large-scale feature pipelines, and robust feature stores. Guide technical decisions around distributed data processing (Spark, Flink), production backend services (Java, Go), and model training integration (Python).
-
Cross-Functional Execution: Act as the primary bridge between your team and key partners, including ML teams, Core Compute, Data Systems, and Privacy/Legal teams. Ensure seamless integration of data capabilities across device and cloud boundaries.
-
Operational Excellence: Oversee the design, deployment, and operation of petabyte-scale pipelines and low-latency serving stacks. Establish rigorous standards for system reliability, data quality, and compliance-by-design.
-
Champion Privacy: Advocate for and implement data minimization strategies and privacy-preserving architectures, ensuring that all data products meet the highest global standards for security and user trust.
MINIMUM QUALIFICATIONS
-
BS or MS in Computer Science, Engineering, or a related field.
-
Leadership Experience: Proven track record of managing and scaling engineering teams focused on data platforms, machine learning systems, or large-scale backend stacks.
-
Technical Foundation: Deep architectural understanding of distributed data processing (e.g., Spark, Flink), high-throughput backend engineering (e.g., Java, Go), and ML training environments (Python).
-
Delivery & Execution: Demonstrated ability to lead complex, cross-functional projects from conception to production at massive scale.
-
Strategic Thinking: Experience defining technical roadmaps, navigating ambiguity, and balancing short-term product needs with long-term architectural health.
PREFERRED QUALIFICATIONS
-
Hybrid/Edge Computing: Experience leading teams that build systems bridging cloud stacks with on-device or edge compute environments.
-
ML Ecosystem Knowledge: Familiarity with the lifecycle of machine learning models, feature stores, vector search, and dense embeddings.
-
Data Governance: Experience implementing feature stores, data catalogs, and automated compliance systems in heavily regulated environments.
-
Privacy-Preserving Tech: Passion for privacy and an understanding of Privacy-Enhancing Technologies (PETs), secure enclaves, or decentralized data strategies.
PAY & BENEFITS
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $188,200 and $325,500, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Engineering Manager Job Roles in Washington
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Search Engineering Manager Jobs in WashingtonEngineering Manager Jobs in Washington: Frequently Asked Questions
Which companies sponsor visas for engineering managers in Washington?
Microsoft, Amazon, and Google are among the most active sponsors of engineering manager roles in Washington, particularly in the Seattle and Redmond areas. Salesforce, Meta, and Tableau also have significant engineering operations in the state. Aerospace employer Boeing sponsors engineering managers as well, primarily in the Puget Sound region. Sponsorship activity for this role is heavily concentrated among large, established technology and aerospace employers.
Which visa types are most common for engineering manager roles in Washington?
The H-1B is the most common visa for engineering managers in Washington, as the role typically qualifies as a specialty occupation requiring a relevant bachelor's degree or higher. The L-1A is also frequently used when a manager is transferring from a foreign office of the same company to a U.S. location, which is particularly relevant given how many Washington employers operate global offices. The O-1A is an option for those with demonstrated extraordinary achievement.
Which cities in Washington have the most engineering manager sponsorship jobs?
Seattle and Redmond account for the overwhelming majority of engineering manager visa sponsorship jobs in Washington. Seattle's South Lake Union and Bellevue corridors host Amazon, Google, Meta, and numerous mid-size tech firms. Redmond is the home of Microsoft's global headquarters. Smaller clusters exist in Kirkland and Bothell, where several tech and biotech companies maintain engineering teams.
How to find engineering manager visa sponsorship jobs in Washington?
Migrate Mate is built specifically for international candidates searching for visa sponsorship roles, including engineering manager positions in Washington. You can filter by state and role to surface employers who have a documented history of sponsoring this position. Because engineering manager roles in Washington are concentrated among large tech employers, filtering by company size and industry on Migrate Mate helps narrow results to the most sponsorship-active opportunities.
Are there any state-specific considerations for engineering managers seeking sponsorship in Washington?
Washington has no state income tax, which affects the prevailing wage calculation context employers use when filing Labor Condition Applications for H-1B petitions. The state's high concentration of tech industry employers means prevailing wage levels for engineering managers are among the highest in the country, reflecting local market rates. University pipelines from the University of Washington and Washington State University also feed engineering talent into the sponsorship market, making competition for roles at top employers significant.
What is the prevailing wage for sponsored engineering manager jobs in Washington?
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.