AI Product Manager Jobs at Google with Visa Sponsorship
Google builds AI Product Manager roles 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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Get Access To All JobsINTRODUCTION
A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
The Global Business Transformation team is building the AI-native future of Google's Platforms and Devices organization (e.g., Android, Chrome, Pixel, Nest, and Fitbit). We are on a mission to create the industry’s most efficient commercial platform by unlocking a new era of productivity where teams, processes, and AI Agents work as one.
As a Product Lead, you will own the outlook, strategy, and execution of Business 360 - a foundational application designed to revolutionize how our organization makes decisions. Built entirely on the Google technology stack, Business 360 is a comprehensive decision intelligence platform that stitches together multi-dimensional data, uncovers AI-driven insights, and executes agentic workflows to drive real business outcomes. As the cornerstone of our end-to-end data and analytics strategy, this platform serves a different set of regional and global personas.
The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
ROLE AND RESPONSIBILITIES
- Collaborate with regional and global users, engineering leads, and UX design to define and refine the long-term outlook and strategy.
- Serve as the ultimate gatekeeper for product scope by making tough prioritization calls while ensuring the core end-to-end data and insights mission is delivered on time.
- Bridge the gap between complex business requirements and the Google tech stack (BigQuery, Vertex AI, etc.), ensuring the engineering team has clear, buildable mandates.
- Architect the platform by embedding Gemini conversational analytics, AI and user-generated insights, and simulation models directly into the user workflow to drive actionable decision-making.
- Establish the high-fidelity data foundation required for autonomous AI workflows. Help define and enforce data quality, lineage, and access controls, ensuring that both our global users and our AI agents are making decisions based on secure, accurate, and compliant data.
MINIMUM QUALIFICATIONS
- Bachelor's degree in a technical field, or equivalent practical experience.
- 8 years of experience in program management.
- Experience with Artificial Intelligence.
- Experience with analytics.
PREFERRED QUALIFICATIONS
- 8 years of experience managing cross-functional or cross-team projects.
- Experience with product management, specifically building data-heavy, analytics, or AI-driven applications from 0-to-1 or 1-to-N.
- Proficiency in SQL.
- Understanding of Large Language Models (LLMs).
- Understanding of LLMs, Vertex AI, and orchestration frameworks (e.g., LangChain, LlamaIndex), the mechanics of Retrieval-Augmented Generation (RAG) and how to translate business logic into autonomous, multi-step agentic workflows.
COMPENSATION
The US base salary range for this full-time position is $192,000-$278,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
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
A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
The Global Business Transformation team is building the AI-native future of Google's Platforms and Devices organization (e.g., Android, Chrome, Pixel, Nest, and Fitbit). We are on a mission to create the industry’s most efficient commercial platform by unlocking a new era of productivity where teams, processes, and AI Agents work as one.
As a Product Lead, you will own the outlook, strategy, and execution of Business 360 - a foundational application designed to revolutionize how our organization makes decisions. Built entirely on the Google technology stack, Business 360 is a comprehensive decision intelligence platform that stitches together multi-dimensional data, uncovers AI-driven insights, and executes agentic workflows to drive real business outcomes. As the cornerstone of our end-to-end data and analytics strategy, this platform serves a different set of regional and global personas.
The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
ROLE AND RESPONSIBILITIES
- Collaborate with regional and global users, engineering leads, and UX design to define and refine the long-term outlook and strategy.
- Serve as the ultimate gatekeeper for product scope by making tough prioritization calls while ensuring the core end-to-end data and insights mission is delivered on time.
- Bridge the gap between complex business requirements and the Google tech stack (BigQuery, Vertex AI, etc.), ensuring the engineering team has clear, buildable mandates.
- Architect the platform by embedding Gemini conversational analytics, AI and user-generated insights, and simulation models directly into the user workflow to drive actionable decision-making.
- Establish the high-fidelity data foundation required for autonomous AI workflows. Help define and enforce data quality, lineage, and access controls, ensuring that both our global users and our AI agents are making decisions based on secure, accurate, and compliant data.
MINIMUM QUALIFICATIONS
- Bachelor's degree in a technical field, or equivalent practical experience.
- 8 years of experience in program management.
- Experience with Artificial Intelligence.
- Experience with analytics.
PREFERRED QUALIFICATIONS
- 8 years of experience managing cross-functional or cross-team projects.
- Experience with product management, specifically building data-heavy, analytics, or AI-driven applications from 0-to-1 or 1-to-N.
- Proficiency in SQL.
- Understanding of Large Language Models (LLMs).
- Understanding of LLMs, Vertex AI, and orchestration frameworks (e.g., LangChain, LlamaIndex), the mechanics of Retrieval-Augmented Generation (RAG) and how to translate business logic into autonomous, multi-step agentic workflows.
COMPENSATION
The US base salary range for this full-time position is $192,000-$278,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
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 Jobs
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.
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.
AI Product Manager at Google jobs are hiring across the US. Find yours.
Find AI Product Manager at Google JobsFrequently 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, 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 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.
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