AI Product Manager Jobs at Google with Visa Sponsorship
AI Product Manager jobs at Google build around the intersection of technical depth and product vision, expecting you to ship AI-native features at scale. The company has a well-established sponsorship infrastructure and regularly files for work visas across its product organizations, making it a realistic target for international candidates.
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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.
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.
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Get Access To All JobsTips for Finding AI Product Manager Jobs at Google
Frame your portfolio around shipped AI products
Google's hiring bar for AI PMs centers on demonstrated product ownership, not just familiarity with machine learning concepts. Document specific AI features you've launched, the metrics they moved, and the technical tradeoffs you navigated with engineering teams.
Target teams where AI is the core product
Roles on Google DeepMind, Google Search, or Gemini product teams carry stronger sponsorship intent than support or ops-adjacent PM roles. Focusing your applications on product areas where AI is the primary output, not a feature layer, positions you for roles with established sponsorship pipelines.
Clarify your visa category before the offer stage
Google sponsors H-1B, H-1B1 visa, and E-3 visas. If you're Australian, confirm with your recruiter that the E-3 pathway is on the table early, since it avoids the H-1B lottery and has a significantly faster timeline from offer to start date.
Align your start date with H-1B cap timelines
If you need an H-1B, USCIS opens registration in March for an October 1 start. Google's recruiting cycles often produce offers in Q1, so coordinate with your recruiter so your offer letter and I-129 filing align with the cap filing window rather than requiring a gap period.
Verify your degree field maps to the role definition
Google's AI PM job descriptions typically require a degree in computer science, engineering, or a closely related field. Before applying, confirm that your credential aligns with the specialty occupation definition DOL uses for LCA certification, since a mismatch can delay or complicate your petition.
Browse open roles using Migrate Mate to filter by sponsorship
Searching broadly across job boards surfaces AI PM roles that don't actually sponsor. Use Migrate Mate to filter Google's open AI Product Manager positions specifically by the visa types you need, so you're applying only where sponsorship is already confirmed.
Frequently Asked Questions
Does Google sponsor H-1B visas for AI Product Managers?
Yes, Google sponsors H-1B visas for AI Product Manager roles. The company has an established immigration infrastructure and works with external counsel to file I-129 petitions for qualifying hires. Because H-1B is subject to the annual cap and lottery, your offer timing relative to the March registration window will affect when you can start.
Which visa types does Google use for AI Product Manager roles?
Google sponsors H-1B, H-1B1 visa, and E-3 visas for this role. H-1B applies to most nationalities and is subject to the annual lottery. H-1B1 is available to Chilean and Singaporean nationals, and E-3 is available to Australian citizens. If you're eligible for E-3, it's worth raising with your recruiter early since it bypasses the lottery entirely and has a faster path to a start date.
What qualifications does Google expect for AI Product Manager roles?
Google's AI PM roles typically require a bachelor's degree in computer science, engineering, or a directly related technical field, plus hands-on experience shipping products that involve machine learning or AI systems. Candidates who can demonstrate they've worked closely with research and engineering teams on production AI, not just roadmap planning, stand out in the hiring process.
How do I apply for AI Product Manager jobs at Google?
You can browse currently open AI Product Manager positions at Google filtered by visa sponsorship type on Migrate Mate, which shows only roles where sponsorship is confirmed for your visa category. When you apply, tailor your resume to reflect AI product ownership and technical depth, since Google's PM interviews assess both product sense and your ability to work with complex model-based systems.
How do I plan my timeline for starting an AI Product Manager role at Google on a visa?
Timeline depends on your visa type. E-3 and H-1B1 visa can move from offer to approval in four to eight weeks with consular processing. H-1B requires fitting into the annual cap cycle: USCIS opens registration in March, selects petitions by lottery, and the earliest cap-subject start date is October 1. If you receive an offer in Q1, plan for a six-month gap unless you're already H-1B-eligible or cap-exempt.