AI Product Engineer Jobs at Google with Visa Sponsorship
AI Product Engineer roles at Google sit at the intersection of machine learning research and consumer-scale product development. Google has a well-established sponsorship process for engineering functions, and this role is squarely within the technical profiles the company consistently supports across H-1B, H-1B1, and E-3 pathways.
See All AI Product Engineer at Google JobsOverview
Showing 5 of 168+ AI Product Engineer Jobs at Google jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 168+ AI Product Engineer Jobs at Google
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Product Engineer Jobs at Google.
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.
See all 168+ AI Product Engineer at Google jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Product Engineer at Google roles.
Get Access To All JobsTips for Finding AI Product Engineer Jobs at Google Jobs
Align your portfolio to Google's AI products
Google evaluates AI Product Engineers on hands-on experience with production ML systems, not just research. Document projects where you shipped models at scale, improved latency, or owned a product metric. Generic ML portfolios won't stand out in Google's structured hiring loops.
Target teams that sponsor E-3 or H-1B1
Google files under H-1B, H-1B1 for Singaporean and Chilean nationals, and E-3 for Australians. If you hold one of those nationalities, the cap-exempt H-1B1 and E-3 pathways bypass the lottery entirely, giving you a direct route to an offer without waiting for April registration.
Prepare your specialty occupation documentation early
USCIS scrutinizes AI Product Engineer petitions because the role spans product management and engineering. Your resume, offer letter, and employer's petition need to clearly establish that a bachelor's degree in computer science or a related technical field is required for the specific duties.
Time your application around Google's H-1B registration window
Google registers H-1B candidates each March for the April lottery. If you're interviewing in Q4, ask your recruiter explicitly whether an offer can be extended in time to register. Missing the window means a 12-month delay unless you qualify for a cap-exempt pathway.
Find open AI Product Engineer roles using Migrate Mate
Google posts AI Product Engineer openings across multiple product areas simultaneously. Use Migrate Mate to filter actively sponsored roles at Google so you're applying to positions where sponsorship is already confirmed, not following up with recruiters to verify eligibility after the fact.
Negotiate start date to accommodate I-129 processing
Once Google extends an offer, your actual start date depends on USCIS adjudicating the I-129 petition. Standard processing runs three to five months. If you need to start sooner, ask Google's immigration team whether premium processing is available for your petition type before accepting.
AI Product Engineer at Google jobs are hiring across the US. Find yours.
Find AI Product Engineer at Google JobsFrequently Asked Questions
Does Google sponsor H-1B visas for AI Product Engineers?
Yes, Google sponsors H-1B visas for AI Product Engineers. The role falls within the specialty occupation category USCIS requires for H-1B eligibility, given its technical degree requirements. Google also files under E-3 for Australian nationals and H-1B1 for Singaporean and Chilean nationals, which bypass the H-1B lottery entirely.
How do I apply for AI Product Engineer jobs at Google?
Apply directly through Google's careers portal, or use Migrate Mate to browse AI Product Engineer openings at Google that are flagged for visa sponsorship. Google's hiring process for this role typically involves a recruiter screen, technical phone interviews covering ML systems and product thinking, and a full onsite or virtual loop before an offer is extended.
Which visa types does Google use for AI Product Engineer roles?
Google most commonly uses the H-1B for AI Product Engineers requiring cap-subject sponsorship. For eligible nationals, the E-3 (Australian citizens) and H-1B1 (Singaporean and Chilean nationals) are cap-exempt alternatives that avoid the lottery. All three require the employer to file a certified Labor Condition Application with the DOL before the visa petition is submitted to USCIS.
What qualifications does Google expect for AI Product Engineer roles?
Google's AI Product Engineer roles typically require a bachelor's degree or higher in computer science, software engineering, or a closely related technical field, along with hands-on experience building and deploying ML models in production environments. Familiarity with Google's internal tooling (TensorFlow, Vertex AI) and experience owning product metrics in cross-functional teams strengthens your profile significantly.
How long does the visa sponsorship process take at Google?
Timeline depends on which visa pathway applies. H-1B cap-subject petitions follow a fixed April registration window, with employment typically starting October 1 at the earliest. E-3 and H-1B1 petitions can be filed year-round, with USCIS standard processing running three to five months. Google's immigration team coordinates the I-129 filing after offer acceptance, but factor this timeline into your start date negotiation.
See which AI Product Engineer at Google employers are hiring and sponsoring visas right now.
Search AI Product Engineer at Google Jobs