AI Product Engineer Visa Sponsorship Jobs in Washington
Washington is one of the top states for AI product engineer visa sponsorship, driven by major tech employers in Seattle and the Eastside corridor. Microsoft, Amazon, and Google maintain large AI product teams in Bellevue and Redmond, while a growing cluster of AI-focused startups adds further opportunity for international candidates.
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INTRODUCTION
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees.
Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Seattle, WA, USA.
MINIMUM QUALIFICATIONS
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in management consulting, product management and strategy, or analytics in a technology company.
PREFERRED QUALIFICATIONS
- MBA or Master's degree in a management, technical or engineering field, or equivalent practical experience.
- Experience driving complex strategic and operational initiatives across various functional domains and geographies.
- Experience in using metrics and analytics to business problems and generate actionable insights.
- Ability to deliver effective presentations and build partnerships with executive leaders and their teams across Google.
- Ability to structure analysis and drive/execute data modeling and reporting initiatives.
- Excellent strategic thinking, problem solving, analysis, and written/verbal communication skills, with effective business acumen and attention to detail.
ABOUT THE JOB
Product and Business Strategy Leaders bring together teams across Google’s functions to help products execute optimally. Our team pushes Google to scale at key points that refine our products and infrastructure by executing efficiently, bringing solid business sense and sound judgment, and working effectively across organizational lines.
Our roles often include components of strategy (e.g. analyzing and understanding new trends in the industry, building business plans), operations (e.g. running the cadence of organizations, connecting the operating lines between our functions), and communications. Our team partners with senior leadership to run important functions that cross-cut our existing organizations and deliver high impact projects.
We help Engineers, PMs, UX, and all of our other functions to build amazing products that delight our users, and then get those products into their hands. You will specifically work with the external facing AI and Computing Infrastructure (ACI) Cloud business which is the largest and fastest growing business, and the internal facing CoreML and Technical Infrastructure (TI) businesses.
In this role, you will work closely with the product management, engineering, and other cross-functional teams (e.g., Sales, Marketing, GTM, Finance, Corporate Development, Supply Chain, etc.) to develop business-level and product strategies (e.g., multi-year business plan, specific product strategies, new product business cases, and Go-to-Market strategy), drive strategic projects (e.g., buy/build/partner models, business cases), incubate new initiatives, provide analytics support (e.g., define key business metrics, perform in-depth analysis or market analysis to answer important questions on product trends/business performance), and facilitate running the business (e.g., orchestrate business reviews).
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $150000 - $218000 (USD) + 15% bonus target + equity + benefits
Responsibilities
Learn more about benefits at Google.
- Drive business and product strategy for the various domains within Machine Learning, and AI Cloud systems working with product and engineering leadership.
- Enable the product and engineering leadership to make sound long-term product strategy decisions to meet the needs of AI2.
- Develop strategic analysis, working with leadership and product management teams (e.g., market sizing, buy, build, or partner assessment, strategy/game theory, portfolio rationalization).
- Develop commercial models, pricing/packaging strategies, business cases, and financial models/projections.
- Provide insightful data-driven strategic recommendations to leadership, based on strategic insights, analysis, experience, technical acumen, and good judgment.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
AI Product Engineer Job Roles in Washington
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Search AI Product Engineer Jobs in WashingtonAI Product Engineer Jobs in Washington: Frequently Asked Questions
Which companies sponsor visas for AI product engineers in Washington?
Microsoft, Amazon, and Google are among the most active sponsors for AI product engineer roles in Washington, with large engineering campuses in Redmond, Bellevue, and Seattle. Meta, Salesforce, and a number of well-funded AI startups headquartered in the Seattle area also have documented sponsorship histories for roles in this field.
Which visa types are most common for AI product engineer roles in Washington?
The H-1B visa is the most common visa for AI product engineers in Washington, as the role typically qualifies as a specialty occupation requiring a relevant bachelor's degree or higher. L-1B visas apply to international transfers with specialized knowledge. Candidates from Australia may qualify for the E-3 visa, and those from Canada or Mexico may be eligible for TN visa status under USMCA.
Which cities in Washington have the most AI product engineer sponsorship jobs?
Seattle and the Eastside cities of Redmond and Bellevue account for the majority of AI product engineer sponsorship jobs in Washington. Redmond is home to Microsoft's global headquarters, while Seattle hosts Amazon's core AI and product teams alongside a dense concentration of AI startups. Kirkland has also emerged as a secondary hub, particularly for mid-size technology companies.
How to find ai product engineer visa sponsorship jobs in Washington?
Migrate Mate is built specifically for international candidates seeking visa sponsorship and lets you filter AI product engineer roles by state, so you can browse Washington-based openings from employers with active sponsorship programs. Because not every job posting makes sponsorship eligibility clear, using a platform focused on sponsored roles saves significant research time for candidates targeting Washington's competitive AI hiring market.
Are there any Washington-specific factors AI product engineers should know about visa sponsorship?
Washington has no state income tax, which affects prevailing wage calculations under the Department of Labor's methodology. The University of Washington produces a significant pipeline of AI and machine learning graduates, meaning employers in Seattle are experienced with OPT and STEM OPT transitions ahead of H-1B sponsorship. Competition for sponsorship roles is high given the concentration of global tech employers in the state.
What is the prevailing wage for sponsored ai product engineer 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.