Data Product Manager Jobs at Google with Visa Sponsorship
Data Product Manager roles at Google sit at the intersection of machine learning infrastructure, user-facing analytics products, and large-scale data systems. Google has a consistent record of sponsoring work visas for this function, making it one of the more accessible paths for international candidates in product management.
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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 Data Product Manager Jobs at Google Jobs
Frame your portfolio around data systems
Google evaluates Data Product Manager candidates on their ability to drive product decisions using data infrastructure at scale. Document specific examples where you defined metrics, shaped ML pipelines, or built data products, not just managed roadmaps.
Target roles explicitly tied to platforms
Google's Data PM openings tied to platforms like Google Ads, Search, or Cloud are more likely to trigger visa sponsorship than generalist PM roles. Filter job listings by team and look for language around data infrastructure, measurement, or experimentation.
Align your offer timeline with H-1B cap dates
If you need H-1B sponsorship, Google typically files cap-subject petitions in April for an October 1 start. Targeting a full-time offer by February or March gives Google's immigration team enough lead time to prepare your petition before the USCIS registration window opens.
Use Migrate Mate to find open Data PM roles
Google posts Data Product Manager roles across multiple teams simultaneously, and availability shifts quickly. Search Migrate Mate to filter for open Data PM positions at Google that include visa sponsorship, so you're applying to active openings that match your visa type.
Prepare for Google's structured PM interview with data fluency
Google's Data PM interviews include rounds on analytical thinking and SQL-level data reasoning alongside standard product sense. Strong performance in the data interview signals you can own the technical relationship with engineering, which directly supports the specialty occupation classification for your visa petition.
Data Product Manager at Google jobs are hiring across the US. Find yours.
Find Data Product Manager at Google JobsFrequently Asked Questions
Does Google sponsor H-1B visas for Data Product Managers?
Yes, Google sponsors H-1B visas for Data Product Manager roles. The role typically qualifies as a specialty occupation because it requires at least a bachelor's degree in a relevant field such as computer science, statistics, or engineering. Google's immigration team handles the filing process after you receive a full-time offer, and your start date will depend on where you fall in the H-1B cap cycle.
How do I apply for Data Product Manager jobs at Google?
Applications go through Google's careers portal at careers.google.com. Search for "Data Product Manager" and filter by location and team. Google's process typically includes a recruiter screen, a hiring manager interview, and a structured loop of four to five rounds covering product sense, analytical thinking, and cross-functional execution. You can also browse open sponsorship-eligible roles on Migrate Mate before applying directly.
Which visa types does Google sponsor for Data Product Manager roles?
Google sponsors the H-1B, H-1B1, and E-3 visas for Data Product Manager positions. The H-1B is the most common path and is subject to the annual cap and lottery. The H-1B1 is available to Chilean and Singaporean nationals under specific trade agreements. The E-3 is available exclusively to Australian citizens and has no lottery, making it a faster option if you qualify.
What qualifications does Google expect for Data Product Manager roles?
Google generally looks for a bachelor's degree in computer science, data science, statistics, or a closely related technical field. Practical experience with data pipelines, experimentation frameworks, or analytics products is weighted heavily. Many candidates also hold advanced degrees or come from data engineering or data science backgrounds before transitioning into product management. Strong SQL proficiency and experience working directly with machine learning teams are recurring requirements.
How long does the visa sponsorship process take after a Google offer?
Timeline depends on the visa type. For H-1B cap-subject cases, USCIS registration opens in March, and approved petitions take effect October 1, meaning the gap between offer and start date can be several months. E-3 and H-1B1 petitions can move faster since they aren't lottery-based. Google's legal team initiates the Labor Condition Application with DOL before filing the I-129 petition with USCIS, which adds a few weeks to the front end of the process.
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